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Journal articles on the topic 'Histopathologie – Innovation'

Author: Grafiati

Published: 28 September 2024

Last updated: 31 July 2025

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1

Danks, Janine A., Roula Papadopoulos, and Nicholas J. Vardaxis. "Innovation in Histopathology Teaching." Journal of Histotechnology 32, no. 3 (2009): 119–21. http://dx.doi.org/10.1179/his.2009.32.3.119.

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Tacha, David E., Linda C. Bloom, and Ball Lauren R. "Histopathology Instrumentation: Innovations in the 1980s." Laboratory Medicine 18, no. 8 (1987): 519–23. http://dx.doi.org/10.1093/labmed/18.8.519.

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Naik, Paras, Jem Rashbass, Mark Bennett, Sue Cossins, and Nick R. Griffin. "IT innovation in histopathology recruitment, training and research." British Journal of Hospital Medicine 66, no. 10 (2005): 563–65. http://dx.doi.org/10.12968/hmed.2005.66.10.19893.

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Triwahyuni, Heni, and Lasmijan Lasmijan. "Inovasi Alat Penunjang Pembuatan Sediaan Histopatologi." Jurnal Pengelolaan Laboratorium Pendidikan 7, no. 2 (2025): 122–27. https://doi.org/10.14710/jplp.7.2.122-127.

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The availability of supporting tools for histopathology slide preparation remains limited, characterized by high usage rates, inefficient material consumption, cleaning difficulties, frequent damage, high costs, small capacity, and low precision. This study aims to develop prototype innovations of supporting tools for histopathology preparation to address these issues. Three types of innovative tools were developed: a paraffin block mold, a slide rack for an automatic staining machine, and a slide box made of silicone-resin. The development process consisted of three main stages: the first mol

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Bardhan, Neelkanth M., Vivek Rastogi, Rebecca L. Stone, and Angela M. Belcher. "Abstract 6166: A whole-organ ex vivo optical imaging technique for non-destructive, more precise identification of serous tubal intraepithelial carcinoma (STIC) in fallopian tubes." Cancer Research 84, no. 6_Supplement (2024): 6166. http://dx.doi.org/10.1158/1538-7445.am2024-6166.

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Abstract Objective With the recent discovery of the fallopian tube (FT) origin of the most common and lethal type of ovarian cancer, high grade serous cancer (HGSC), engineering solutions to overcome the limitations of standard histopathology to more reliably identify incipient HGSCs and their serous tubal intraepithelial carcinoma (STIC) precursors are much needed. This investigation tests the potential of whole-organ ex vivo optical imaging of freshly excised FTs to label and sample abnormal tubal epithelium prior to formalin fixation and paraffin embedding for standard histopathology. Metho

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Karthikeyan Ramalingam,. "Innovations in Oral Pathology Laboratory - A Mini Review." International Journal of Head and Neck Pathology 6, no. 2 (2023): 1–5. http://dx.doi.org/10.56501/intjheadneckpathol.v6i1.914.

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Over the past two decades, a multitude of technological advancements have been integrated into histopathology laboratories, offering tools to enhance standardization and ensure occupational safety. Digital tracking plays a central role in guiding the entire process, from labeling cassettes and slides to the final stages of generating whole slide images, and storage of tissue blocks and tissue sections. Versatile equipment has effectively replaced time-consuming manual tasks, which were susceptible to errors and material loss. Currently, collaborative robots are assuming responsibilities once e

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Ahmed, Shakil, Asadullah Shaikh, Hani Alshahrani, et al. "Transfer Learning Approach for Classification of Histopathology Whole Slide Images." Sensors 21, no. 16 (2021): 5361. http://dx.doi.org/10.3390/s21165361.

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The classification of whole slide images (WSIs) provides physicians with an accurate analysis of diseases and also helps them to treat patients effectively. The classification can be linked to further detailed analysis and diagnosis. Deep learning (DL) has made significant advances in the medical industry, including the use of magnetic resonance imaging (MRI) scans, computerized tomography (CT) scans, and electrocardiograms (ECGs) to detect life-threatening diseases, including heart disease, cancer, and brain tumors. However, more advancement in the field of pathology is needed, but the main h

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Murthy, M. S. N., M. G. Jones, J. D. Davies, et al. "Scanning confocal near-infra-red microscopy: a new microscopy technique for three-dimensional histopathology." Engineering Science & Education Journal 4, no. 5 (1995): 223–30. http://dx.doi.org/10.1049/esej:19950509.

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Hegde, Sankalp, and Bhavadharini RM. "LuCoNet: A Convolutional Neural Network Model for Lung Cancer and Colon Cancer Prediction Using Histopathological Images." International Research Journal of Multidisciplinary Scope 05, no. 03 (2024): 407–19. http://dx.doi.org/10.47857/irjms.2024.v05i03.0766.

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Histopathology is the study of cellular structures, tissues and their abnormalities to diagnose a wide range of diseases, with a primary focus on cancer. The recent innovations and advancements in image analysis techniques and machine learning enable the histopathologists to automate the process of detection and classification of diseases observed in histopathology images. Traditional visual analysis by pathologists, though skilled, is slow and prone to inconsistencies. By utilizing advanced techniques, such as Convolutional Neural Networks, this project aims to revolutionize disease classific

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Habawel, Candice Mabette, Listya Purnamasari, Joseph Peñano Olarve, and Joseph Flores dela Cruz. "Comparative Efficacy of Different Fixed Drug Combination on Clinical Signs of Respiratory Disease in Starter Pigs." Jurnal Veteriner 23, no. 3 (2022): 297–305. http://dx.doi.org/10.19087/jveteriner.2022.23.3.297.

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The high occurrence of respiratory disease in pigs has led to the innovation of fixed-dose drugcombinations (FDCs). A study was conducted to determine the efficacy of two FDCs on 15 starter pigsshowing clinical signs of respiratory disease to determine its effect on their respiratory health and growth.Treatment 1 (T1) was the control group and did not receive any medication. Treatment 2 (T2) contains 90g of Doxycycline, 40 g of Tylosin, 30 g of Paracetamol, 5 g of Bromhexine, and 500 mg of Prednisolone asactive ingredients per kilogram. Treatment 3 (T3) contains 150 g of Amoxicillin Trihydrate

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Benard, S.A, VO Bejide, AA Fowotade, et al. "Evaluation of Histopathology Laboratory Request Forms in a North -Central Tertiary Hospital in Nigeria- A Pilot Study." Journal of Medical Laboratory Science 31, no. 2 (2021): 12–19. https://doi.org/10.5281/zenodo.5032934.

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<strong>ABSTRACT</strong> <strong>BACKGROUND</strong>: The laboratory request form is a tool of communication between the clinician and the laboratory, and when some critical information are missing, it may cause delays, increase turnaround time (TAT), and even affect the quality of laboratory diagnosis. Recent efforts in reporting the extent of missing data in laboratory request forms had excluded histopathology laboratories. This study therefore attempts to fill this knowledge gap by providing baseline information on the phenomenon in a tertiary institution’s histopathology laboratory.

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Kirchhof, Nicole. "What Is “Preclinical Device Pathology”: An Introduction of the Unfamiliar." Toxicologic Pathology 47, no. 3 (2019): 205–12. http://dx.doi.org/10.1177/0192623319827502.

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Medical device pathologists are involved in the preclinical evaluation of medical devices that will be temporarily inserted or permanently and often irreversibly implanted in the human body. The medical device industry is technology based, allowing for rapid device iterations; innovations occur at an accelerated rate compared to the innovations in the pharmaceutical industry. The device pathologist provides the pathology results and is, by training and experience, in an ideal position to help the medical engineer and innovator tackle biomedical problems and to comment on the possible and actua

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Stanley, James R. L., John H. Keating, and Kathryn J. San Souci. "An Overview on the Considerations for the Planning of Nonclinical Necropsies for Medical Device Studies." Toxicologic Pathology 47, no. 3 (2019): 213–20. http://dx.doi.org/10.1177/0192623319825821.

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The terminal collection and histological processing of medical devices is an expensive, labor-, and material-intensive endeavor, which requires adequate experience, innovation, and preparation for success. It is also an exciting endeavor that continually challenges, intellectually engages, and improves the skills and knowledge of the pathologist. Awareness of the importance of the medical device pathologist’s involvement, communication, and oversight throughout the development, implementation, and execution of a nonclinical assessment of a medical device is in the best interest of the test fac

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Gupta, Kritika, Hania Q. Khan, Syed S. Amin, and Mithilesh Chandra. "Infantile Systemic Hyalinosis Diagnosed as Arthrogryposis Multiplex Congenita – A Case Report and Literature Review." Journal of Dermatology and Dermatologic Surgery 27, no. 2 (2023): 78–81. http://dx.doi.org/10.4103/jdds.jdds_7_23.

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Abstract Infantile systemic hyalinosis (ISH) is a rare fatal autosomal recessive disorder characterized by hyaline deposition in the skin and internal organs. Children with ISH usually present to orthopedicians due to decreased and painful limb movements with flexed position and are often misdiagnosed due to unnoticed cutaneous involvement. We describe an infant who was diagnosed with arthrogryposis multiplex congenita and is being managed for the same with serial plaster casts over limbs to release contractures. He was referred to the dermatology department for intertrigo, where we observed c

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Yerraboina, Sirisha, Harikrishna Bommala, and Vineela Madireddy. "Breast cancer classification and prediction methods by employing machine and deep learning approaches-A survey." MATEC Web of Conferences 392 (2024): 01137. http://dx.doi.org/10.1051/matecconf/202439201137.

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Breast carcinoma stands as one of the most perilous afflictions affecting females, lacking an effective treatment to date. Recent advancements in deep learning techniques, coupled with artificial intelligence (AI), have demonstrated promising results in breast cancer identification. This innovation facilitates early detection, consequently enhancing patient survival rates. Deep learning necessitates minimal human intervention for feature extraction, contrasting with traditional machine learning methods. The ML and DL techniques are practised and comparison of all these techniques were shown. S

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Arias-Intriago, Marlon, Tamar Gomolin, Flor Jaramillo, et al. "IgG4-Related Disease: Current and Future Insights into Pathological Diagnosis." International Journal of Molecular Sciences 26, no. 11 (2025): 5325. https://doi.org/10.3390/ijms26115325.

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Immunoglobulin G4-related disease (IgG4-RD) is a systemic fibroinflammatory condition marked by tumefactive lesions, IgG4+ plasma cell-rich infiltrates, storiform fibrosis, and obliterative phlebitis. Its multisystem involvement and overlap with malignancies, infections, and immune disorders complicate diagnosis despite recent classification advances. This study summarizes diagnostic challenges, highlights the role of histopathology as per the 2019 classification criteria established by the American College of Rheumatology and the European League Against Rheumatism (ACR/EULAR), and explores em

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Sharmeen, Ayesha, Mohammad Adil, Syed S. Amin, and Suhailur Rehman. "A Case of Hidradenitis Suppurativa with Plaque Morphea: Association or Chance?" Journal of Dermatology and Dermatologic Surgery 27, no. 2 (2023): 82–84. http://dx.doi.org/10.4103/jdds.jdds_12_23.

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Abstract Hidradenitis suppurativa (HS) is a chronic inflammatory disease of the apocrine glands characterized clinically by recurrent nodules, abscesses, and discharging sinuses which heal with a bridge or rope-like scars in the axilla, groin, and perineum. HS is seen to be associated with several other autoimmune and pilosebaceous structural disorders. We present the case of a 50-year-old obese female, known case of HS for 3 years who developed hyperpigmented indurated plaques over the breasts for the past 1 year. Histopathology from the plaques showed thickened and homogenized collagen bundl

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Putri, Cynthia Astiti, Farida Hayati, Lutfi Chabib, and Muhammad Iqbal Pangestu. "Acute Toxicity of Self-Nanoemulsifying Drug Delivery System of Ipomoea reptans Poir Leaves Extract on Female Wistar Rats." Borneo Journal of Pharmacy 6, no. 1 (2023): 1–7. http://dx.doi.org/10.33084/bjop.v6i1.2099.

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Ipomoea reptans Poir has many health benefits, such as decreasing blood glucose and as an antioxidant. Self-nano emulsifying drug delivery systems (SNEDDS) are an innovation in pharmaceutical technology that minimizes drug molecules and maximizes surface area, thus increasing drug absorption. This study aimed to investigate SNEDDS of I. reptans acute toxicity in female Wistar rats. An acute toxicity test was done using a limit test of OECD 423. Female Wistar rats were divided into control and treatment groups, with three animals for each group being used per step. No animals died after they we

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Giansanti, Daniele. "AI in Cytopathology: A Narrative Umbrella Review on Innovations, Challenges, and Future Directions." Journal of Clinical Medicine 13, no. 22 (2024): 6745. http://dx.doi.org/10.3390/jcm13226745.

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The integration of artificial intelligence (AI) in cytopathology is an emerging field with transformative potential, aiming to enhance diagnostic precision and operational efficiency. This umbrella review seeks to identify prevailing themes, opportunities, challenges, and recommendations related to AI in cytopathology. Utilizing a standardized checklist and quality control procedures, this review examines recent advancements and future implications of AI technologies in this domain. Twenty-one review studies were selected through a systematic process. AI has demonstrated promise in automating

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Li, Tian, John Diks, Snow Trinh Nguyen, Jianying Zeng, Neil Chen, and Shivakumar Vignesh. "Next-generation sequencing proves clonal relationship between two distinguished lung and liver carcinomas by standard histopathology approach." Journal of Case Reports and Images in Pathology 8, no. 2 (2022): 6–11. http://dx.doi.org/10.5348/100064z11el2022cr.

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Introduction: Two tumors having different histopathologies at anatomically distinct sites giving the picture of dual primary malignancies. Here we presented a case of two possible primary tumors and one secondary mass. Case Report: A 74-year-old female, active smoker, without personal or family cancer history presented with early satiety and weakness for two months. Systems review was positive for a “raw” feeling in stomach, alleviated with antacids. Vital signs were stable with a negative abdominal exam. Lab showed leukocytosis 24.8 K/uL (3.5–10.8 K/uL) with left shift, microcytic anemia with

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Bernard, Joseph, Thierry Alcindor, Lynn Gabrielle Alexis, Doukens Patrick Gilbert, and Vincent DeGennaro. "Epidemiology, clinical features, and histopathology of sarcomas managed in a Haitian cancer clinic." Journal of Clinical Oncology 39, no. 15_suppl (2021): e23515-e23515. http://dx.doi.org/10.1200/jco.2021.39.15_suppl.e23515.

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e23515 Background: Sarcomas are among the least described cancers diagnosed in Haiti. Suboptimal surgery and the unavailability of radiation therapy make their management challenging. The main objective of this study was to present the epidemiology, clinical features and histopathology of sarcomas in the Haitian setting. Methods: A seven-year retrospective study was conducted in the cancer program of Innovating Health International (IHI). We included all patients with clinical or histological diagnosis of sarcoma enrolled from January 1, 2014 to December 31, 2020. Date of first visit, age, gen

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Tiwade, Yugeshwari R., Obaid Noman, Pratibha Dawande, Nandkishor J. Bankar, Sweta Bahadure, and Praful Patil. "Role of Telepathology, Artificial Intelligence, and Emerging Technologies in Enhancing Diagnostic Accuracy." Journal of Nature and Science of Medicine 8, no. 2 (2025): 115–19. https://doi.org/10.4103/jnsm.jnsm_80_24.

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Telepathology, a practice of telecommunication-based pathology, has transformed the diagnostic process by allowing pathologists to remotely examine samples using video displays instead of traditional optical microscopes. Despite these challenges, the future holds significant potential with advances in artificial intelligence (AI) and innovations in augmented reality (AR) and virtual reality (VR). These technologies promise to revolutionize telepathology by enhancing diagnostic accuracy, providing immersive training experiences, and improving remote consultations. Telepathology greatly minimize

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Perini, Davina, Francesca Cammelli, Maximilian Scheiterle, et al. "Beyond total mesorectal excision: The emerging role of minimally invasive surgery for locally advanced rectal cancer." World Journal of Gastrointestinal Surgery 16, no. 8 (2024): 2382–85. http://dx.doi.org/10.4240/wjgs.v16.i8.2382.

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Multivisceral resection and/or pelvic exenteration represents the only potential curative treatment for locally advanced rectal cancer (LARC); however, it poses significant technical challenges, which account for the high risk of morbidity and mortality associated with the procedure. As complete histopathologic resection is the most important determinant of patient outcomes, LARC often requires an extended resection beyond the total mesorectal excision plane to obtain clear resection margins. In an era when laparoscopic surgery and robot-assisted surgery are becoming commonplace, the optimal a

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Smith, Jenifer C., and Gil M. Vicente. "True Congenital Macroglossia Surgically Managed Using a Modified Kole Technique." Philippine Journal of Otolaryngology-Head and Neck Surgery 31, no. 2 (2016): 51–53. http://dx.doi.org/10.32412/pjohns.v31i2.241.

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Objective: To describe a 2-year old boy with true congenital macroglossia surgically managed using a modified Kole technique.  Methods: Study Design: Surgical Innovation Setting: Tertiary Government Hospital Patient: One Results: A 2-year-old boy presented with congenital macroglossia, associated with difficulty feeding and phonating. On physical examination, the massive tongue had both increased length and width. At rest, it protruded between the upper and lower teeth, with drying and fissuring of the tip. Dribbling of saliva and mandible prognathism were also no

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Bulten, Wouter, Kimmo Kartasalo, Po-Hsuan Cameron Chen, et al. "Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge." Nature Medicine 28, no. 1 (2022): 154–63. http://dx.doi.org/10.1038/s41591-021-01620-2.

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AbstractArtificial intelligence (AI) has shown promise for diagnosing prostate cancer in biopsies. However, results have been limited to individual studies, lacking validation in multinational settings. Competitions have been shown to be accelerators for medical imaging innovations, but their impact is hindered by lack of reproducibility and independent validation. With this in mind, we organized the PANDA challenge—the largest histopathology competition to date, joined by 1,290 developers—to catalyze development of reproducible AI algorithms for Gleason grading using 10,616 digitized prostate

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Rivera, Daniel, Tirone Young, Akhil Rao, et al. "Current Applications of Raman Spectroscopy in Intraoperative Neurosurgery." Biomedicines 12, no. 10 (2024): 2363. http://dx.doi.org/10.3390/biomedicines12102363.

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Background: Neurosurgery demands exceptional precision due to the brain’s complex and delicate structures, necessitating precise targeting of pathological targets. Achieving optimal outcomes depends on the surgeon’s ability to accurately differentiate between healthy and pathological tissues during operations. Raman spectroscopy (RS) has emerged as a promising innovation, offering real-time, in vivo non-invasive biochemical tissue characterization. This literature review evaluates the current research on RS applications in intraoperative neurosurgery, emphasizing its potential to enhance surgi

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Hira, Ahmed Shazia Fahmi Muhammad Kamran Hina Jabeen Uzma Hameed Raffat Rasool Syeda Anza Husnain. "Do Serum Markers Help in Diagnosis of Acute Appendicitis??" Multicultural Education 8, no. 3 (2022): 339. https://doi.org/10.5281/zenodo.6402604.

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<em>BACKGROUND: A complete medical history in conjunction with a medical assessment is usually sufficient to diagnose acute appendicitis. The purpose of this investigation was to see how useful high white cell count (WCC), C-reactive protein (CRP), and bilirubin seeing that analytical indicators for appendicitis.</em> <em>METHODS: Over a three-year period, a retrospective cohort study on individuals who had appendicectomy. The figures were compiled, including patient age, gender, blood picture, and appendix histopathology. WCC, CRP, and bilirubin sensitivities, specificity, positives, and nega

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Iyer, Janaki, Arvind Hariharan, Uyen Minh Nha Cao, et al. "An Overview on the Histogenesis and Morphogenesis of Salivary Gland Neoplasms and Evolving Diagnostic Approaches." Cancers 13, no. 15 (2021): 3910. http://dx.doi.org/10.3390/cancers13153910.

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Salivary gland neoplasms (SGN) remain a diagnostic dilemma due to their heterogenic complex behavior. Their diverse histomorphological appearance is attributed to the underlying cellular mechanisms and differentiation into various histopathological subtypes with overlapping fea-tures. Diagnostic tools such as fine needle aspiration biopsy, computerized tomography, magnetic resonance imaging, and positron emission tomography help evaluate the structure and assess the staging of SGN. Advances in molecular pathology have uncovered genetic patterns and oncogenes by immunohistochemistry, fluorescen

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Lodha, Roshan, Eldad D. Shulman, Emma M. Campagnolo, et al. "Abstract B105: Predicting spatial transcriptomics from histopathology with Path2Space: AI charts breast cancer patients tumor immune microenvironment on an unprecedented scale." Cancer Immunology Research 13, no. 2_Supplement (2025): B105. https://doi.org/10.1158/2326-6074.io2025-b105.

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Abstract Background: Spatial transcriptomics (ST) is revolutionizing our understanding of tumor heterogeneity by providing high-resolution, location-specific gene expression mapping across the tumor microenvironment (TME). Despite its transformative potential, ST’s high cost limits its widespread clinical application, particularly for large-scale biomarker discovery. Methods: To address these challenges, we developed Path2Space, a deep learning model trained on ST data, to predict spatial gene expression directly from histopathology slides, offering an accessible alternative to experimental ST

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Chen, Xiaoya, Huinan Xu, Shengjie Yu, et al. "AI-Driven Transcriptome Prediction in Human Pathology: From Molecular Insights to Clinical Applications." Biology 14, no. 6 (2025): 651. https://doi.org/10.3390/biology14060651.

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Gene expression regulation underpins cellular function and disease progression, yet its complexity and the limitations of conventional detection methods hinder clinical translation. In this review, we define “predict” as the AI-driven inference of gene expression levels and regulatory mechanisms from non-invasive multimodal data (e.g., histopathology images, genomic sequences, and electronic health records) instead of direct molecular assays. We systematically examine and analyze the current approaches for predicting gene expression and diagnosing diseases, highlighting their respective advant

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Alkhalaf, Abdulmohsen Khalaf, Sulaiman Ali Alkhareeb, and Maha Mohammed Alshammari. "Integration of artificial intelligence in histopathological and radiological image analysis." International journal of health sciences 8, S1 (2024): 938–53. http://dx.doi.org/10.53730/ijhs.v8ns1.15010.

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Aim: This review explores the integration of artificial intelligence (AI) in both histopathological and radiological image analysis, focusing on its potential to enhance diagnostic workflows and patient outcomes. Methods: We examined recent advancements in AI technologies, particularly deep learning and computational pathology (CPath), highlighting methodologies such as multiple instance learning (MIL) and graph neural networks (GNNs) for analyzing whole slide images (WSIs) and radiological imaging techniques like MRI and CT scans. The review also discusses challenges in data privacy, ethical

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Wang, Andrew T., Saugato R. Dhruba, Kun Wang, Eldad D. Shulman, and Eytan Ruppin. "Abstract B065: Deep learning inference of the gene expression of specific cell types from histopathology of breast tumors." Cancer Immunology Research 13, no. 2_Supplement (2025): B065. https://doi.org/10.1158/2326-6074.io2025-b065.

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Abstract Motivation: The immune-stromal microenvironment plays a crucial role in breast cancer precision oncology, offering insights that could guide targeted therapies. However, high-resolution methods like single-cell RNA sequencing remain prohibitively expensive and are rarely feasible in clinical settings. While recent deconvolution methods can estimate cell type-specific expression from bulk RNA sequencing (RNA-seq) data, even bulk assays are costly and have long turnaround times, limiting their widespread use. To address these challenges, we developed SLIDE (SLide-based Inference of Deco

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Singhal, Ishita, Aparna Dave, Manpreet Arora, Pulin Saluja, and Radhika Rai. "Oral Pathology - The Soul of Dentistry." Journal of Evolution of Medical and Dental Sciences 10, no. 37 (2021): 3283–88. http://dx.doi.org/10.14260/jemds/2021/666.

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BACKGROUND Oral and maxillofacial pathology, is the very foundation of dentistry. It is a branch of dentistry where research meets clinical practice with the use of histopathology, cytopathology, haematology, immunohistochemistry, clinical biochemistry, microbiology, molecular science, forensic odontology, and a lot more, making it a unique and rare branch in its own way. It acts as a backbone of dental science, by investigating the causes, processes, and effects of the disease affecting the oral and maxillofacial region. Therefore, this branch requires timely up-gradation to analyse health da

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Miura, Cathrine, and Jay Pee Amable. "Orbital Roof and Lateral Wall Reconstruction Using Split-Thickness Calvarial Bone Graft with Titanium Mesh Complex for a Spheno-Orbital Meningioma." Philippine Journal of Otolaryngology Head and Neck Surgery 37, no. 1 (2022): 46. http://dx.doi.org/10.32412/pjohns.v37i1.1437.

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ABSTRACT Objective: To describe our reconstruction of an orbital roof and lateral wall defect using a split- thickness calvarial bone graft with titanium mesh complex after resection of a meningioma of the left greater wing of the sphenoid with extension to the left frontotemporal bone and left orbital roof and lateral wall. Methods: Study Design: Surgical Innovation Setting: Tertiary Private University Hospital Patient: One Results: A 44-year-old woman with a left frontotemporal mass associated with left eye proptosis and epiphora underwent reconstruction of the left orbital roof and lateral

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Zubair, Asif, Rich Chapple, Sivaraman Natarajan, et al. "Abstract 456: Jointly leveraging spatial transcriptomics and deep learning models for image annotation achieves better-than-pathologist performance in cell type identification in tumors." Cancer Research 82, no. 12_Supplement (2022): 456. http://dx.doi.org/10.1158/1538-7445.am2022-456.

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Abstract For over 100 years, the traditional tools of pathology, such as tissue-marking dyes (e.g. the H&E stain) have been used to study the disorganization and dysfunction of cells within tissues. This has represented a principal diagnostic and prognostic tool in cancer. However, in the last 5 years, new technologies have promised to revolutionize histopathology, with Spatial Transcriptomics technologies allowing us to measure gene expression directly in pathology-stained tissue sections. In parallel with these developments, Artificial Intelligence (AI) applied to histopathology tissue i

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Wardani, I. Gusti Agung Ayu Kusuma, Fitria Megawati, and Ni Made Dharma Shantini Suena. "The Effect of Dayak Onion Bulb Ethanol Extract (Sisyrinchium palmifolium L.) on Triglyceride Level and Aorta Histopathology in Diabetes Melitus White Rat Induced by Alloxan." Majalah Obat Tradisional 24, no. 2 (2019): 77. http://dx.doi.org/10.22146/mot.38051.

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The high prevalence of diabetes mellitus in Indonesia has made antidiabetic treatment efforts increasingly popular. In addition, the many side effects caused by the use of chemical drugs, triggered the development of research on herbal therapy. The purpose of this study was to determine the effectiveness of Dayak onion bulb extract in reducing two-hour postprandial blood glucose, triglyceride levels, and the amount of lipid vacuoles in aorta blood vessels of diabetic rat. The long-term goal of this study is the creation of innovation products in the form of standardized herbs as complementary

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Thalluri, Jyothi, and Joy Penman. "Virtual Pathology Learning Resource: A Promising Strategy in Teaching Pathology to Allied Health Science Students." Issues in Informing Science and Information Technology 15 (2018): 015–33. http://dx.doi.org/10.28945/4026.

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Aim/Purpose: The objective of this study was to concept test a new instructional aid called Virtual Pathology Learning Resource (VPLR), which was used as a vehicle to communicate information and enhance teaching and learning of basic sciences (Anatomy, Physiology, and Pathology) to allied health science students at a South Australian university. Background: Pathology was traditionally taught using potted specimens to review disease manifestations independently. However, this approach was found inadequate and ineffective. VPLR is a new teaching platform comprising of digitised human normal and

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Bagree, Rajendra, Gaurav Jalendra, Pradeep Panwar, Veena Shukla, and Hetish M. Reddy. "Total laparoscopic pancreaticoduodenectomy in 26 patients: single surgeon experience." International Surgery Journal 8, no. 2 (2021): 674. http://dx.doi.org/10.18203/2349-2902.isj20210383.

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Background: Total laparoscopic pancreaticoduodenectomy (TLPD) has become more feasible and preferred surgery for periampullary tumour. With the innovation of latest equipment and continuous learning curve, this has become more sophisticated and rampant, along the advantages of minimal invasive surgery. Methods: We analysed data of all the 26 patients who underwent TLPD from October 2015 to November 2019. Preoperative haematological, liver function test, tumour marker, MRCP, triphasic CT, scan with pancreatic protocol, endoscopic ultrasound guided fine needle aspiration or brush cytology done f

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P, Umasankar, Poornima Vijayan, Hazwa K. Hamza, Asiq Sideeque, and Anupama Ponniah. "A simple and cost effective technique for construction of tissue microarrays." Journal of Pathology of Nepal 8, no. 1 (2018): 1265–70. http://dx.doi.org/10.3126/jpn.v8i1.19449.

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Background: Tissue microarray is widely used in histopathology and biomedical research. Construction of tissue microarray can help institutes to considerably reduce, cost of consumables, skilled man power needed and time needed in performing high output research. However resource poor centers in developing countries have hardly any access to such techniques. The aim of this research is to develop simple, cost effective technique for making tissue microarray.Materials and methods: Materials available in a standard pathology laboratory such as skin punch biopsy needle, bone marrow aspiration nee

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Talar Sabir Ahmed, Rawa M. Ali, Ari M. Abdullah, et al. "Exploring Large Language Models Integration in the Histopathologic Diagnosis of Skin Diseases: A Comparative Study." Barw Medical Journal 3, no. 3 (2025): 6–12. https://doi.org/10.58742/bmj.v3i3.180.

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Abstract Introduction The exact manner in which large language models (LLMs) will be integrated into pathology is not yet fully comprehended. This study examines the accuracy, benefits, biases, and limitations of LLMs in diagnosing dermatologic conditions within pathology. Methods A pathologist compiled 60 real histopathology case scenarios of skin conditions from a hospital database. Two other pathologists reviewed each patient’s demographics, clinical details, histopathology findings, and original diagnosis. These cases were presented to ChatGPT-3.5, Gemini, and an external pathologist. Each

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Zhang, Kun, JunHong Fu, Liang Hua, et al. "Multiple Morphological Constraints-Based Complex Gland Segmentation in Colorectal Cancer Pathology Image Analysis." Complexity 2020 (July 28, 2020): 1–16. http://dx.doi.org/10.1155/2020/6180457.

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Histological assessment of glands is one of the major concerns in colon cancer grading. Considering that poorly differentiated colorectal glands cannot be accurately segmented, we propose an approach for segmentation of glands in colon cancer images, based on the characteristics of lumens and rough gland boundaries. First, we use a U-net for stain separation to obtain H-stain, E-stain, and background stain intensity maps. Subsequently, epithelial nucleus is identified on the histopathology images, and the lumen segmentation is performed on the background intensity map. Then, we use the axis of

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Yu, Jie-Zeng, Zsofia Kiss, Weijie Ma, Ruqiang Liang, and Tianhong Li. "Preclinical Models for Functional Precision Lung Cancer Research." Cancers 17, no. 1 (2024): 22. https://doi.org/10.3390/cancers17010022.

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Patient-centered precision oncology strives to deliver individualized cancer care. In lung cancer, preclinical models and technological innovations have become critical in advancing this approach. Preclinical models enable deeper insights into tumor biology and enhance the selection of appropriate systemic therapies across chemotherapy, targeted therapies, immunotherapies, antibody–drug conjugates, and emerging investigational treatments. While traditional human lung cancer cell lines offer a basic framework for cancer research, they often lack the tumor heterogeneity and intricate tumor–strom

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Noor, Bashir Ahmad, Muhammad Afham Shahid, Seema Butt, Muhammad Umair Afzal, Ahmal Fawad Zafar, and Hafiz Zaheer Ahmed. "Diagnostic Accuracy of FNAC for Detection of Malignancy in Palpable Breast Lump and its Comparison with Tru-Cut Biopsy." Pakistan Journal of Medical and Health Sciences 16, no. 9 (2022): 368–70. http://dx.doi.org/10.53350/pjmhs22169368.

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Breast cancer is the commonest malignancy in women worldwide and leading cause of cancer related deaths in women, almost half of these occurring in developing countries. Aim was to know the diagnostic accuracy of FNAC for detection of malignancy in palpable breast lump and its comparison with tru-cut biopsy Methodology: Six months following the publication of this report, researchers in the Surgical Department of Allied Hospital Faisalabad conducted this study. Starting on March 31st, 2019, and running all the way through September 30th, 2019. Allied Hospital Faisalabad's ethics council approv

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Parhizkari, Mohadeseh, Mahdi Shabanzadeh, Fatemeh Abbasi, and Sadra Saremi. "A Comprehensive Review on Breast Cancer Detection and Using Machine Learning Techniques: Methods, and Challenges Ahead." Advances in Applied NanoBio-Technologies 6, no. 1 (2025): 24–45. https://doi.org/10.18502/aanbt.v6i1.18227.

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Breast cancer (BC) continues to be a major global health concern, with rising incidence rates each year. Timely identification is essential for enhancing patient outcomes, but conventional diagnostic techniques often fall short in terms of precision and effectiveness. This review explores the role of artificial intelligence (AI) and machine learning in transforming BC detection, with a focus on advancements up to 2024. A thorough review of recent studies was conducted, emphasizing the application of machine learning in BC detection across diverse data sources, including microarray data, medica

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Bicho, D., E. Comma, L. Oliveira, et al. "THU0071 CD5L IN RHEUMATOID ARTHRITIS: PROTECTIVE OR PROMOTER?" Annals of the Rheumatic Diseases 79, Suppl 1 (2020): 248.2–248. http://dx.doi.org/10.1136/annrheumdis-2020-eular.6376.

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Background:Rheumatoid Arthritis (RA) is an aggressive auto-immune disease characterized by synovial hyperplasia and chronic inflammation. The main players of RA pathogenesis are T-cell and B-cell dependent pathways and some myeloid cells are also abundant in the synovial tissue. However, how inflammation is initiated, propagated and maintained remains controversial. Unbiased proteomic reports revealed an enrichment in the scavenger receptor CD5L, a component of serum and synovial tissues of arthritic patients.1 Upon secretion, this blood circulating glycoprotein represses pathogenic Th17 cells

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Sacco, Matteo, Erica Pietroluongo, James M. Dolezal, et al. "Abstract B020: Automated classification of thymic epithelial tumors. A novel deep learning approach." Clinical Cancer Research 31, no. 13_Supplement (2025): B020. https://doi.org/10.1158/1557-3265.aimachine-b020.

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Abstract Introduction: Accurate histological classification of thymic epithelial tumours (TETs), including subtypes A, AB, B1, B2, B3, and thymic carcinomas (TC), is essential for prognosis and treatment planning. However, expert-level classification remains challenging due to significant inter-observer variability and the rarity of these tumors. This study presents a novel deep learning approach for subtype classification using digital histopathology. Methods: Hematoxylin and eosin (H&E)-stained whole slide images (WSIs) from the Cancer Genome Atlas Program (TCGA) were used. The dataset i

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Zandonella Callegher, Sara, Ivan Giovannini, Sabine Zenz, et al. "Sjögren syndrome: looking forward to the future." Therapeutic Advances in Musculoskeletal Disease 14 (January 2022): 1759720X2211002. http://dx.doi.org/10.1177/1759720x221100295.

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Primary Sjögren’s syndrome (pSS) is a heterogeneous disease characterised by a wide spectrum of manifestations that vary according to the different stages of the disease and among different subsets of patients. The aim of this qualitative literature review is to summarise the recent advances that have been reported in pSS, ranging from the early phases to the established disease and its complications. We analysed the diagnostic, prognostic, and management aspects of pSS, with a look into future clinical and research developments. The early phases of pSS, usually antedating diagnosis, allow us

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Barbati, Zachary R., and Yann Charli-Joseph. "Unveiling Primary Cutaneous B-Cell Lymphomas: New Insights into Diagnosis and Treatment Strategies." Cancers 17, no. 7 (2025): 1202. https://doi.org/10.3390/cancers17071202.

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Background/Objectives: Primary cutaneous B-cell lymphomas (PCBCL) are a rare and heterogeneous group of non-Hodgkin lymphomas that are confined to the skin at diagnosis and exhibit a tendency for cutaneous recurrence. The 5th edition of the World Health Organization and the 2022 International Consensus Classification recognize three main subtypes: primary cutaneous follicle center lymphoma (PCFCL), primary cutaneous marginal zone lymphoma/lymphoproliferative disorder (PCMZL/LPD), and primary cutaneous diffuse large B-cell lymphoma, leg type (PCDLBCL,LT). These subtypes differ in clinical behav

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Geng, Rui, Li Pan, Sutang Guo, Jiexian Jing, Xu Dong Zhang, and Xia Song. "The level of soluble programmed death ligand-1 in lung cancer: An exploratory biomarker study." Journal of Clinical Oncology 34, no. 26_suppl (2016): 249. http://dx.doi.org/10.1200/jco.2016.34.26_suppl.249.

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249 Background: A new approach to immunotherapy based on programmed death 1 (PD-1) and programmed death ligand-1 (PD-L1) pathway represents a remarkable innovation in lung cancer treatment. There is growing evidence that lung cancer cells exploit the PD-L1 to cause local immune-suppression. The aim of this prospective study was to investigate the prevalence and prognostic roles of soluble PD-L1 (sPD-L1) protein in the blood of patients with lung cancer. Methods: A total of 159 patients with lung cancer who were diagnosed by histopathology or cytopathology between July 2013 and October 2015 wer

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Ogenyi, Samuel Ifedioranma, Bruno Onochie Ezenwa, June Amara Onu, Amalachukwu Okwukwe Ike, Jude Ogechukwu Okoye, and Samuel Ifedioranma Ogenyi. "Abstract B115: Epithelial stromal interaction 1 protein (ESPTI1) expression in breast cancers with known estrogen receptor, progesterone receptor and human epidermal growth receptors-2 immunoreactivity: Any prognostic indication?" Cancer Immunology Research 13, no. 2_Supplement (2025): B115. https://doi.org/10.1158/2326-6074.io2025-b115.

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Abstract Background: The heterogeneous nature of breast cancers has shifted the focus from pathogenesis, and clinicopathological correlations to prognostication; with increased attention being paid to identifying morphological features and biomarkers of prognostic significance. Objective: This study evaluated the expression pattern of EPSTI1protein biomarker in breast cancers with known Estrogen, Progesterone, and Human epidermal receptors (Her-2-neu) immunoreactivity. Methods: One hundred archived formalin fixed-paraffin embedded (FFPE) diagnosed breast cancer samples involving sixty-two trip

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