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Journal articles on the topic 'Diagnostic Advancements'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Rafla, Michael, Peilong Yang, and Ayman Mostafa. "Canine Cranial Cruciate Ligament Disease (CCLD): A Concise Review of the Recent Literature." Animals 15, no. 7 (2025): 1030. https://doi.org/10.3390/ani15071030.

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Objective: To review recent advancements in cranial cruciate ligament disease (CCLD) in dogs, focusing on diagnostic innovations and treatment options. Study Design: Literature review. Animals or Sample Population: Not applicable. Methods: Analysis of current literature on diagnostic tools and treatment techniques for CCLD, with emphasis on recent trends and advancements. Results: Enhanced diagnostic tools, such as Computed Tomography (CT), offer detailed anatomical insights, improving the accuracy of CCLD assessments. Treatment approaches include extra-articular techniques like lateral fabell

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Azam, Mudsser, Bharti Singhal, and Ruchi Singh. "Advancements in diagnostics for visceral leishmaniasis: Current landscape and future directions." Annals of Medical Science & Research 4, Suppl 1 (2025): S78—S86. https://doi.org/10.4103/amsr.amsr_47_24.

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Abstract Visceral leishmaniasis (VL) is a significant global health concern, causing considerable morbidity and mortality. The prevalence of VL is influenced by environmental conditions and limited access to healthcare services. Accurate diagnostics are crucial for monitoring and controlling disease spread. This review examines current advancements in diagnostic technologies for VL, focusing on the need for highly sensitive, easily applicable, and affordable diagnostics. Parasitological examination, serological tests, molecular assays, and rapid diagnostic tests are discussed in detail, highli

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Liu, Tengfei, Fei Yang, Junli Qiao, and Mengxuan Mao. "Deciphering the progression of fine-needle aspiration: A bibliometric analysis of thyroid nodule research." Medicine 103, no. 20 (2024): e38059. http://dx.doi.org/10.1097/md.0000000000038059.

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This study aims to dissect the evolution and pivotal shifts in Fine-Needle Aspiration (FNA) research for thyroid nodules over the past 2 decades, focusing on delineating key technological advancements and their impact on clinical practice. A comprehensive bibliometric analysis was conducted on 5418 publications from the Web of Science Core Collection database (2000–2023). Publications were rigorously selected based on their contributions to the advancement of FNA techniques and their influence on thyroid nodule management practices. Our analysis uncovered significant breakthroughs, most notabl

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Parveen, Afsona, Prithviraj Karak, and Mrinal Acharya. "Meningoencephalitis Diagnosis Using Contemporary Diagnostic Advancements." Neurology India 73, no. 4 (2025): 665–77. https://doi.org/10.4103/neurol-india.neurol-india-d-24-00891.

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Graphical Abstract JOURNAL/neuin/04.03/02223311-202507000-00004/figure1/v/2025-07-24T100922Z/r/image-tiff By enhancing meningitis diagnosis, monitoring, and treatment, artificial intelligence (AI) and machine learning (ML) are transforming healthcare and resulting in job automation and worker displacement. In order to create better diagnostic techniques, this paper evaluated the predictive and diagnostic potential of ML and AI algorithms for meningoencephalitis. Reputable scientific databases like Embase, ScienceDirect, PubMed, Web of Science, and Medline are used in this paper’s systematic re

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Łoginoff, Jan, Kinga Augustynowicz, Kinga Świąder, et al. "Advancements in Radiology and Diagnostic Imaging." Journal of Education, Health and Sport 33, no. 1 (2023): 45–51. http://dx.doi.org/10.12775/jehs.2023.33.01.005.

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Radiology and diagnostic imaging have undergone remarkable advancements in recent years, shaping the future of healthcare and improving patient outcomes. This review article provides an extensive overview of the developments and opportunities in various aspects of radiology, including CT, MRI, ultrasound, digital radiology, teleradiology, 3D printing, radiomics, radiogenomics, and nuclear radiology. It highlights the integration of artificial intelligence and machine learning in radiology, the emergence of theranostics, and the exploration of the human microbiome. The article also delves into

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ŁOGINOFF, Jan, Kinga AUGUSTYNOWICZ, Kinga ŚWIĄDER, et al. "Advancements in Radiology and Diagnostic Imaging." Journal of Education, Health and Sport 33, no. 1 (2023): 45–51. https://doi.org/10.12775/JEHS.2023.33.01.005.

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<strong>ŁOGINOFF, Jan, AUGUSTYNOWICZ, Kinga, ŚWIĄDER, Kinga, OSTASZEWSKA, Sandra, MORAWSKI, Przemysław, PACTWA, Filip & POPIŃSKA, Zuzanna. Advancements in Radiology and Diagnostic Imaging.</strong> <strong>Journal of Education, Health and Sport. 2023;</strong><strong>3</strong><strong>3</strong><strong>(1):</strong><strong>45-51.</strong><strong> eISSN 2391-8306. DOI</strong> <strong>http://dx.doi.org/10.12775/JEHS.2023.33.01.00</strong><strong>5</strong> <strong>https://apcz.umk.pl/JEHS/article/view/437</strong><strong>27</strong> <strong>https://zenodo.org/record/7972812</

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Chinedu Paschal Maduka, Adebukola Adejumoke Adegoke, Chiamaka Chinaemelum Okongwu, Amarachukwu Enahoro, Olukemi Osunlaja, and Arinze Emmanuel Ajogwu. "REVIEW OF LABORATORY DIAGNOSTICS EVOLUTION IN NIGERIA'S RESPONSE TO COVID-19." International Medical Science Research Journal 3, no. 1 (2023): 1–23. http://dx.doi.org/10.51594/imsrj.v3i1.581.

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This comprehensive review elucidates the evolution of laboratory diagnostics in Nigeria's response to COVID-19, emphasizing its pivotal role in managing infectious diseases. The purpose of this review is to analyze the advancements in diagnostic approaches and their implications on effective pandemic management and future preparedness. A robust and comprehensive research strategy was employed, involving a systematic synthesis and critical review of peer-reviewed articles, focusing on innovations, developments, and challenges in diagnostic procedures during the pandemic. The results revealed si

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Mohd Baqir, Kulbir Singh, Shubam Singh, and Tanya Sharma. "Current trends in tuberculosis diagnosis: Advancements and challenges." International Journal of Allied Medical Sciences and Clinical Research 13, no. 2 (2025): 137–41. https://doi.org/10.61096/ijamscr.v13.iss2.2025.137-141.

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Tuberculosis [TB] is still a worldwide health issue, and early and accurate diagnosis of TB is essential for the management of the disease. Although conventional diagnostic methods, including sputum smear microscopy and culture methods, provide some diagnostic information, these methods have challenges in terms of sensitivity, specificity, and turnaround time. Recent TB diagnostics include molecular-based diagnostics, such as GeneXpert MTB/RIF and line-probe assays, which provide rapid and highly sensitive TB detection, including in drug-resistant cases. Next-generation sequencing and whole ge

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Han, Cha, Wenjuan Wu, Aiping Fan, et al. "Diagnostic and therapeutic advancements for aerobic vaginitis." Archives of Gynecology and Obstetrics 291, no. 2 (2014): 251–57. http://dx.doi.org/10.1007/s00404-014-3525-9.

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Abimbola, Adeponle. "A Review of the Historical Development and Future Significance of Artificial Intelligence in Radiology." medtigo Journal of Medicine 2, no. 3 (2024): e3062253. https://doi.org/10.63096/medtigo3062253.

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The discipline of radiology has a long and significant history that traces back to 1895 when Wilhelm Röntgen made the groundbreaking discovery of X-rays, therefore transforming medical diagnostics. Progressively, radiography has become indispensable in the identification and management of a multitude of disorders. In the late 20th century, the incorporation of Artificial Intelligence (AI) into radiology commenced, therefore augmenting picture analysis and enhancing diagnostic precision. AI's contribution to radiography became particularly significant during the COVID-19 epidemic, assistin

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Al-antari, Mugahed A. "Advancements in Artificial Intelligence for Medical Computer-Aided Diagnosis." Diagnostics 14, no. 12 (2024): 1265. http://dx.doi.org/10.3390/diagnostics14121265.

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Rapid advancements in artificial intelligence (AI) and machine learning (ML) are currently transforming the field of diagnostics, enabling unprecedented accuracy and efficiency in disease detection, classification, and treatment planning. This Special Issue, entitled “Artificial Intelligence Advances for Medical Computer-Aided Diagnosis”, presents a curated collection of cutting-edge research that explores the integration of AI and ML technologies into various diagnostic modalities. The contributions presented here highlight innovative algorithms, models, and applications that pave the way for

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Beniwal, Shreya Singh, Paula Lamo, Ajeet Kaushik, Dionisio Lorenzo Lorenzo-Villegas, Yuguang Liu, and ArunSundar MohanaSundaram. "Current Status and Emerging Trends in Colorectal Cancer Screening and Diagnostics." Biosensors 13, no. 10 (2023): 926. http://dx.doi.org/10.3390/bios13100926.

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Colorectal cancer (CRC) is a prevalent and potentially fatal disease categorized based on its high incidences and mortality rates, which raised the need for effective diagnostic strategies for the early detection and management of CRC. While there are several conventional cancer diagnostics available, they have certain limitations that hinder their effectiveness. Significant research efforts are currently being dedicated to elucidating novel methodologies that aim at comprehending the intricate molecular mechanism that underlies CRC. Recently, microfluidic diagnostics have emerged as a pivotal

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F. A. Bolowia, Nagat. "Computed Tomography (CT) Scans: Advancements in Oncology Diagnosis and Treatment." Derna Academy Journal for Applied Sciences 3, no. 2 (2025): 140–47. https://doi.org/10.71147/t415ys60.

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A comprehensive examination of the advancements in the use of computed tomography (CT) scans for cancer diagnosis and treatment. The article discusses the global rise in cancer incidence and the pressing need for improved diagnostic technologies that can accurately detect, characterize, and monitor tumors. It highlights the various imaging modalities used in cancer diagnosis, including CT, PET, and MRI, and emphasizes the distinctive advantages and limitations of each technique. Materials and Methods: The review underscores the importance of enhancing the signal-to-background ratio, and detect

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AZAM, MN, T. KHURSHID, RJ GILL, et al. "DIAGNOSTIC METHODS AND ADVANCEMENTS IN THE DETECTION OF VIRAL INFECTIONS IN ANIMALS." Biological and Clinical Sciences Research Journal 2023, no. 1 (2023): 537. http://dx.doi.org/10.54112/bcsrj.v2023i1.537.

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Detecting and diagnosing viral infections in animals play a pivotal role in ensuring the health and well-being of both domesticated and wild species. The study investigates diagnostic methods for detecting viral infections in a diverse animal population (n=300). Employing serological assays, molecular diagnostics, point-of-care testing, and advanced imaging technologies, the research explores sensitivities and specificities of each method. Molecular techniques, particularly PCR and NGS, exhibit consistent high performance, while point-of-care testing and imaging technologies offer practical on

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Dumont, Travis M., Jorge L. Eller, Maxim Mokin, Grant C. Sorkin, and Elad I. Levy. "Advances in Endovascular Approaches to Cerebral Aneurysms." Neurosurgery 74, suppl_1 (2014): S17—S31. http://dx.doi.org/10.1227/neu.0000000000000217.

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Abstract Recent advancements in all phases of endovascular aneurysm treatment, including medical therapy, diagnostics, devices, and implants, abound. Advancements in endovascular technologies and techniques have enabled treatment of a wide variety of intracranial aneurysms. In this article, technical advances in endovascular treatment of cerebral aneurysms are discussed, with an effort to incorporate a clinically relevant perspective. Advancements in diagnostic tools, medical therapy, and implants are reviewed and discussed.

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Arabi, Tarek Ziad, Abdullah Shaik, Ahmed El-Shaer, et al. "Advancements in Cardiac Amyloidosis Treatment." Biomedicines 13, no. 1 (2024): 79. https://doi.org/10.3390/biomedicines13010079.

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Cardiac amyloidosis (CA) is a progressive condition resulting from the deposition of amyloid fibrils in the heart, which leads to severe diastolic dysfunction and restrictive cardiomyopathy. The disease has two main subtypes: light-chain and transthyretin (TTR) CA, with the latter subdivided into wild-type and hereditary forms. Despite advances in diagnostic imaging, early detection remains a challenge due to non-specific symptoms that mimic other cardiac conditions. Treatment has evolved significantly with targeted therapies like TTR stabilizers, gene silencers, and RNA interference, showing

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Kirolos, Eskandar. "Revolutionizing healthcare: the role of CRISPR-Cas systems in precision medicine." Pharmacogenetics and Pharmacogenomics, no. 2 (March 4, 2025): 29–36. https://doi.org/10.37489/2588-0527-2024-2-29-36.

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Introduction. CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) has been recognized as a revolutionary advancement in the biomedical field, offering unparalleled precision and versatility in genome editing. This review examines the transformative potential of CRISPR as a diagnostic and therapeutic tool for various diseases.Methods. A systematic review was conducted following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. A comprehensive search of PubMed, Scopus, Google Scholar, and Web of Science was performed to identify relevant Studi

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Rana, Dalveer Singh, Vani Sharma, and Aditya Sheershwal. "Understanding host-pathogen interactions in urinary tract infections and advancements in diagnostic methods." Urological Science 36, no. 2 (2025): 61–75. https://doi.org/10.1097/us9.0000000000000075.

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One of the most important health issues globally is urinary tract infections (UTIs), which are affecting millions every year. The host’s more potent pathogenic mechanisms and the uropathogens involved, primarily bacteria like Escherichia coli and Klebsiella pneumoniae, are responsible factors in UTI. Understanding these interactions between host and pathogen is crucial for the design of effective diagnostics as well as treatment modalities. This review on the mechanisms by which bacteria adhere to, invade and evade host immune defenses focuses specifically on their contribution to biofilm form

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Vinayaka, Ambujakshi Manjunatha. "Advancements in periodontal pathology: A systematic review and meta-analysis of molecular diagnostics, imaging techniques, regenerative therapies, and artificial intelligence." Journal of Oral Medicine, Oral Surgery, Oral Pathology and Oral Radiology 10, no. 4 (2024): 231–37. https://doi.org/10.18231/j.jooo.2024.046.

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: Periodontal diseases, such as gingivitis and periodontitis, are prevalent conditions that adversely affect the supporting structures of teeth. Recent advancements in the field of periodontal pathology have enhanced understanding of disease mechanisms and improved diagnostic and therapeutic strategies.: To provide a comprehensive review of current innovations in periodontal pathology and explore emerging technologies and future directions that could revolutionize periodontal care.: This review synthesizes findings from recent literature on advancements in periodontal pathology, including mole

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Iftikhar, Faiza Jan, Afzal Shah, Qamar Wali, and Tayyaba Kokab. "Advancements in Nanofiber-Based Electrochemical Biosensors for Diagnostic Applications." Biosensors 13, no. 4 (2023): 416. http://dx.doi.org/10.3390/bios13040416.

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Biosensors are analytical tools that can be used as simple, real-time, and effective devices in clinical diagnosis, food analysis, and environmental monitoring. Nanoscale functional materials possess unique properties such as a large surface-to-volume ratio, making them useful for biomedical diagnostic purposes. Nanoengineering has resulted in the increased use of nanoscale functional materials in biosensors. Various types of nanostructures i.e., 0D, 1D, 2D, and 3D, have been intensively employed to enhance biosensor selectivity, limit of detection, sensitivity, and speed of response time to d

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Strauss, Jessica M., Dietrich VK Jehle, and Beric E. Berlioz. "Advancements at the bedside: diagnostic and therapeutic tools." Clinical Practice 11, no. 6 (2014): 689–97. http://dx.doi.org/10.2217/cpr.14.73.

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Parvin, Nargish, Vineet Kumar, Tapas Kumar Mandal, and Sang Woo Joo. "Advancements in Nanoporous Materials for Biomedical Imaging and Diagnostics." Journal of Functional Biomaterials 15, no. 8 (2024): 226. http://dx.doi.org/10.3390/jfb15080226.

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This review explores the latest advancements in nanoporous materials and their applications in biomedical imaging and diagnostics. Nanoporous materials possess unique structural features, including high surface area, tunable pore size, and versatile surface chemistry, making them highly promising platforms for a range of biomedical applications. This review begins by providing an overview of the various types of nanoporous materials, including mesoporous silica nanoparticles, metal–organic frameworks, carbon-based materials, and nanoporous gold. The synthesis method for each material, their cu

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Aggarwal, Shalini, Weng Kung Peng, and Sanjeeva Srivastava. "Multi-Omics Advancements towards Plasmodium vivax Malaria Diagnosis." Diagnostics 11, no. 12 (2021): 2222. http://dx.doi.org/10.3390/diagnostics11122222.

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Plasmodium vivax malaria is one of the most lethal infectious diseases, with 7 million infections annually. One of the roadblocks to global malaria elimination is the lack of highly sensitive, specific, and accurate diagnostic tools. The absence of diagnostic tools in particular has led to poor differentiation among parasite species, poor prognosis, and delayed treatment. The improvement necessary in diagnostic tools can be broadly grouped into two categories: technologies-driven and omics-driven progress over time. This article discusses the recent advancement in omics-based malaria for ident

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Wang, Yihui, Xiaoyue Wang, Liyan Xi, and Sha Lu. "Advancements in Diagnosing Talaromycosis: Exploring Novel Strategies and Emerging Technologies." Journal of Fungi 11, no. 6 (2025): 434. https://doi.org/10.3390/jof11060434.

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Talaromycosis (TM) is an invasive fungal infection caused by Talaromyces marneffei (T. marneffei). It has high morbidity and mortality rates, particularly among immunocompromised people. Globally, approximately 17,300 cases and 4900 deaths are reported annually. TM often has vague clinical signs with limited current tests, leading to misdiagnosis, incorrect treatments, or the long-term use of expensive antifungal drugs, which raises healthcare costs and patient risks. Although accurate diagnosis is key for starting the right antifungal therapy and improving outcomes, there are not enough relia

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Kristollari, Kathelina, Abraham Abbey Paul, Sagi Angel, and Robert S. Marks. "Conventional and Emerging Diagnostic Approaches for Differentiated Thyroid Carcinoma." Chemosensors 12, no. 11 (2024): 229. http://dx.doi.org/10.3390/chemosensors12110229.

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Differentiated thyroid carcinoma (DTC) is among the most prevalent endocrine cancers. The diagnosis of DTC has witnessed tremendous progress in terms of technological advancement and clinical operational guidelines. DTC diagnostics have evolved significantly over centuries, from early clinical examinations to modern molecular testing and imaging modalities. The diagnosis and management of DTC are currently dependent on the international histological classification and identification of specific genetic abnormalities in tumor tissue, as well as the prognostic implications that can inform treatm

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Sharma, Saksham, Keerthi Sanapala, Ajit Panvalkar, Selby Chacko Kareeza, and Sharanya Kumar. "Advancements in diagnostic technologies for chagas disease: a comprehensive review." InterConf, no. 53(232) (January 20, 2025): 244–57. https://doi.org/10.51582/interconf.19-20.01.2025.027.

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Background: Chagas disease, caused by Trypanosoma cruzi, poses a significant public health challenge, with an estimated 8 million infected individuals globally. While traditionally confined to Latin America, migration has introduced the disease to non-endemic regions. Early and accurate detection is critical for effective treatment and control, particularly in asymptomatic and chronic cases. Recent advancements in diagnostic technologies have enhanced sensitivity and specificity but face challenges in global implementation and accessibility. Methodology: A review was conducted following the SA

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Alobaidi, Sami. "Emerging Biomarkers and Advanced Diagnostics in Chronic Kidney Disease: Early Detection Through Multi-Omics and AI." Diagnostics 15, no. 10 (2025): 1225. https://doi.org/10.3390/diagnostics15101225.

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Chronic kidney disease (CKD) remains a significant global health burden, often diagnosed at advanced stages due to the limitations of traditional biomarkers such as serum creatinine and estimated glomerular filtration rate (eGFR). This review aims to critically evaluate recent advancements in novel biomarkers, multi-omics technologies, and artificial intelligence (AI)-driven diagnostic strategies, specifically addressing existing gaps in early CKD detection and personalized patient management. We specifically explore key advancements in CKD diagnostics, focusing on emerging biomarkers—includin

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Doykov, Mladen, Stanislav Valkanov, Usman Khalid, et al. "Artificial Intelligence-Augmented Advancements in the Diagnostic Challenges Within Renal Cell Carcinoma." Journal of Clinical Medicine 14, no. 7 (2025): 2272. https://doi.org/10.3390/jcm14072272.

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Background: Advancements in artificial intelligence (AI) diagnostics for renal cell carcinoma (RCC) provide valuable information for classification and subtyping, which improve treatment options and patient care. RCC diagnoses are most commonly incidental due to a lack of specific characterizations of subtypes, often leading to overtreatment. Accurate diagnosis also allows for personalized patient management. Different diagnostic methods, such as histopathology, multi-omics, imaging, and perioperative diagnostics, show a lot of promise for AI. Objective: This literature review focuses on devel

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Fahad Hassan Algusheri. "Innovations In Molecular Diagnostics: Advancements And Challenges In Clinical Laboratories." Journal of Namibian Studies : History Politics Culture 41 (April 25, 2024): 399–406. http://dx.doi.org/10.59670/5vyff496.

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Molecular diagnostics has rapidly transformed clinical laboratories, offering precise and targeted analysis of genetic material, which is crucial for personalized medicine, oncology, and infectious disease management. This paper explores key advancements in molecular diagnostics, including next-generation sequencing (NGS), digital PCR (dPCR), CRISPR-based diagnostics, and microarray technology. These innovations have significantly enhanced diagnostic accuracy, efficiency, and the ability to detect low-abundance targets. However, their integration into clinical practice presents several challen

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Chambers, Henry F., Heather R. Cross, Maria Souli, et al. "The Antibacterial Resistance Leadership Group: Scientific Advancements and Future Directions." Clinical Infectious Diseases 77, Supplement_4 (2023): S279—S287. http://dx.doi.org/10.1093/cid/ciad475.

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Abstract In this overview, we describe important contributions from the Antibacterial Resistance Leadership Group (ARLG) to patient care, clinical trials design, and mentorship while outlining future priorities. The ARLG research agenda is focused on 3 key areas: gram-positive infections, gram-negative infections, and diagnostics. The ARLG has developed an innovative approach to clinical trials design, the desirability of outcome ranking (DOOR), which uses an ordinal measure of global outcome to assess both benefits and harms. DOOR was initially applied to observational studies to determine op

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Ali, Zuhair, Anas Hamdoun, and Abdelmoneim Alattaya. "Advances in Radiological Techniques for Cancer Diagnosis: A Narrative Review of Current Technologies." Health Nexus 2, no. 1 (2024): 43–56. http://dx.doi.org/10.61838/kman.hn.2.1.6.

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This review aimed to assess the recent advancements in radiological techniques for cancer diagnosis, focusing on the clinical applications and the potential for these technologies to improve patient experiences and personalize the diagnostic process. A detailed literature search was conducted in several databases up to February 2024, using a combination of keywords and Medical Subject Headings (MeSH) terms related to "cancer diagnosis" and "radiological techniques." The inclusion criteria were peer-reviewed articles in English that focus on advanced imaging modalities in cancer diagnosis. Data

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Khan, Basim F., Ahmed M. Basha, Bandar R. Bakhurji, Bader J. Aldossari, Abdulaziz S. Alsumaihi, and Sherif A. Sherif. "Recent advancements in management of gastrointestinal tuberculosis." International Journal Of Community Medicine And Public Health 5, no. 9 (2018): 3730. http://dx.doi.org/10.18203/2394-6040.ijcmph20183559.

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Abdominal tuberculosis and its protean manifestations still create a worldwide diagnostic challenge for clinicians and remain an important concern in the developing world. Crohn’s disease, which is being increasingly recognized in countries where intestinal tuberculosis is prevalent, needs to be differentiated as the two diseases resemble each other in their clinical presentation, and in their radiological, endoscopic, and histological findings. New diagnostic modalities and scoring systems have facilitated the differentiation of Crohn’s disease from intestinal tuberculosis with good accuracy.

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Delrue, Charlotte, Reinhart Speeckaert, Matthijs Oyaert, Sander De Bruyne, and Marijn M. Speeckaert. "From Vibrations to Visions: Raman Spectroscopy’s Impact on Skin Cancer Diagnostics." Journal of Clinical Medicine 12, no. 23 (2023): 7428. http://dx.doi.org/10.3390/jcm12237428.

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Raman spectroscopy, a non-invasive diagnostic technique capturing molecular vibrations, offers significant advancements in skin cancer diagnostics. This review delineates the ascent of Raman spectroscopy from classical methodologies to the forefront of modern technology, emphasizing its precision in differentiating between malignant and benign skin tissues. Our study offers a detailed examination of distinct Raman spectroscopic signatures found in skin cancer, concentrating specifically on squamous cell carcinoma, basal cell carcinoma, and melanoma, across both in vitro and in vivo research. T

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Shleider Carnero Canales, Christian, Jessica Marquez Cazorla, André Henrique Furtado Torres, et al. "Advances in Diagnostics and Drug Discovery against Resistant and Latent Tuberculosis Infection." Pharmaceutics 15, no. 10 (2023): 2409. http://dx.doi.org/10.3390/pharmaceutics15102409.

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Latent tuberculosis infection (LTBI) represents a subclinical, asymptomatic mycobacterial state affecting approximately 25% of the global population. The substantial prevalence of LTBI, combined with the risk of progressing to active tuberculosis, underscores its central role in the increasing incidence of tuberculosis (TB). Accurate identification and timely treatment are vital to contain and reduce the spread of the disease, forming a critical component of the global strategy known as “End TB.” This review aims to examine and highlight the most recent scientific evidence related to new diagn

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de Magalhães, Ana Amélia, and Ana Teresa Santos. "Advancements in Diagnostic Methods and Imaging Technologies in Dentistry: A Literature Review of Emerging Approaches." Journal of Clinical Medicine 14, no. 4 (2025): 1277. https://doi.org/10.3390/jcm14041277.

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Introduction: Recent advancements in diagnostic imaging technologies have significantly improved the field of dental medicine. This review examines these new imaging techniques and their impact on enhancing accuracy, enabling early detection, and facilitating effective treatment planning in dentistry. Methods: A bibliometric and content analysis was conducted on 61 peer-reviewed articles retrieved from the Scopus database, published between 2019 and 2024. The selection criteria focused on studies exploring advances in dental diagnosis through innovative imaging methods and personalized techniq

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Kakadiya, Ashish, Ragni Tandon, Aftab Azam, Rohit Kulshrestha, and Madhvi Bhardwaj. "Recent Advancements in Diagnostic Aids in Orthodontics - A Review." SM Dentistry Journal 3, no. 2 (2017): 1–8. http://dx.doi.org/10.36876/smd.1016.

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Ansari, Sajid, Md Farid Amanullah, RajKumar Rauniyar, and Kaleem Ahmad. "Pott′s spine: Diagnostic imaging modalities and technology advancements." North American Journal of Medical Sciences 5, no. 7 (2013): 404. http://dx.doi.org/10.4103/1947-2714.115775.

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Puranik, Nidhi, Dhananjay Yadav, Shiv Kumar Yadav, Vishal K. Chavda, and Jun-O. Jin. "Proteomics and Neurodegenerative Disorders: Advancements in the Diagnostic Analysis." Current Protein & Peptide Science 21, no. 12 (2020): 1174–83. http://dx.doi.org/10.2174/1389203721666200511094222.

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: Changes in protein structure and function, alteration in protein-protein interaction, and significant difference in protein concentration inside the body could play an important role in indicating the pathological evidence of abnormalities before the development of clinical symptoms and act as a critical detection and diagnostic tool commonly known as biomarkers. Biomarkers play important roles in the diagnosis of various chronic diseases, including cancer. Neurodegenerative disorders, including Parkinson's, Alzheimer's, Huntington's, prion, and multiple sclerosis, are well characterized by

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Pandey, Ashish. "Advancements in Endocrinology: Exploring Novel Therapies and Diagnostic Innovations." Endocrinology and Disorders 8, no. 3 (2024): 01–02. http://dx.doi.org/10.31579/2640-1045/185.

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Endocrinology, the study of hormonal systems and their disorders, has witnessed remarkable advancements in recent years. This article provides a comprehensive overview of emerging therapies and diagnostic innovations in endocrinology. Topics covered include hormone replacement therapies (HRTs), targeted drug delivery systems, personalized medicine approaches, and cutting-edge diagnostic tools. The role of genetics, epigenetics, and biomarkers in endocrine disorders is also discussed. References are cited throughout the article to support the presented information.

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NISHI, Kazuhiko, Kenji SUGIU, Masafumi HIRAMATSU, et al. "Recent Advancements in Diagnostic Neuroradiology for Dural Arteriovenous Fistulas." Surgery for Cerebral Stroke 51, no. 6 (2023): 503–7. http://dx.doi.org/10.2335/scs.51.503.

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Muhammad Arslan, Rohan Arshad, Faizan Hameed, et al. "A Comprehensive Review of Drug-Resistant Tuberculosis: Mechanisms, Epidemiology, and Diagnostic Approaches." Insights-Journal of Health and Rehabilitation 3, no. 2 (Health & Allied) (2025): 295–302. https://doi.org/10.71000/n06wvf68.

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Background: Drug-resistant tuberculosis (TB) is a critical global health concern, with multidrug-resistant (MDR) and extensively drug-resistant (XDR) strains complicating treatment and control strategies. The emergence of resistance in Mycobacterium tuberculosis (MTB) is driven by genetic mutations and improper antibiotic use, necessitating improved diagnostic methods and therapeutic interventions. Understanding the mechanisms, epidemiological trends, and diagnostic advancements is vital for mitigating the spread of resistant TB strains. Methods: This review examines the molecular mechanisms o

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Bhatia, Dinesh, Tania Acharjee, and Monika Bhatia. "Advancements in nanosensors for cancer detection." AIMS Biophysics 11, no. 4 (2024): 527–83. https://doi.org/10.3934/biophy.2024028.

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<p>“Faster diagnosis, better outcomes: Biosensors pave the way for a brighter future for cancer patients”. As one of the top causes of death worldwide, cancer must be addressed with the help of innovative treatments and state-of-the-art diagnostic techniques. Due to stress, poor lifestyle choices, and environmental factors, cancer incidence is worryingly on the rise in India, especially among the younger generation. In India, 1 in 5 persons may receive a cancer diagnosis by 2025, potentially impacting 1.57 million people, even though 30–50% of cancers are preventable. Even though standar

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Jiang, Wen, Yi Mu, Fei Zhao, and Peng Wang. "Advancements in Pediatric Audiological Assessments Using Wideband Acoustic Immittance: A Review." Audiology Research 14, no. 4 (2024): 684–700. http://dx.doi.org/10.3390/audiolres14040058.

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Objectives: This study’s objectives were to explore the potential of wideband acoustic immittance (WAI) as a diagnostic tool, examining its accuracy and efficiency in pediatric audiology. Methods: A narrative review of the contemporary literature was conducted, focusing on studies that assessed the use of WAI in diagnosing pediatric auditory conditions. Key variables such as diagnostic accuracy, efficiency, and clinical outcomes were considered. Results: This review highlighted that WAI offers a broader range of test frequencies and more comprehensive diagnostic information compared with tradi

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Syriopoulou-Delli, Christine K. "Advances in Autism Spectrum Disorder (ASD) Diagnostics: From Theoretical Frameworks to AI-Driven Innovations." Electronics 14, no. 5 (2025): 951. https://doi.org/10.3390/electronics14050951.

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This study provides a comprehensive analysis of the evolution of Autism Spectrum Disorder (ASD) diagnostics, tracing its progression from psychoanalytic origins to the integration of advanced artificial intelligence (AI) technologies. The study explores, through scientific data bases like Pub Med, Scopus, and Google Scholar, how theoretical frameworks, including psychoanalysis, behavioral psychology, cognitive development, and neurobiological paradigms, have shaped diagnostic methodologies over time. Each paradigm’s associated assessment tools, such as the Autism Diagnostic Observation Schedul

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Azierski, Michał, Konrad Talarek, Damian Pikor, Alicja Drelichowska, and Przemysław Ciszewski. "Modern diagnostic methods for fatigue fractures: a review and analysis of available techniques." Chirurgia Narządów Ruchu i Ortopedia Polska 89, no. 3 (2024): 108–14. http://dx.doi.org/10.31139/chnriop.2024.89.3.3.

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Fatigue fractures are increasingly recognized as a common issue, particularly among athletes and individuals engaged in repetitive physical activities. Timely and accurate diagnosis of these fractures is crucial for effective treatment and prevention of further injuries. This review explores contemporary diagnostic methods for fatigue fractures, evaluating the available techniques along with their advantages and limitations. The advancements in diagnostic methods have led to more precise and effective ways to identify and treat these injuries. By gaining a comprehensive understanding of these

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Dr., Saad Ali, Sarah Anwar Dr., Irsa Hidayat Dr., et al. "Advancements in Pulmonary Disease Management and Coexisting Conditions." Advancements in Pulmonary Disease Management and Coexisting Conditions 8, no. 10 (2023): 5. https://doi.org/10.5281/zenodo.10066441.

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Objective: By comparing the presence of medical departments and the accessibility of diagnostic tools, the main goal of this study is to evaluate and contrast the healthcare services provided by MMC and DHQ. It also seeks to examine patient referral trends with regard to gender and destination (MMC or PESH). The study looks for differences in referral patterns and healthcare access across the two medical centers. Methods: Before starting the investigation, ethical permission was obtained. The period of data collecting was September 2021 to September 2022. Referred patients to the Pulmonology O

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Pandey, Ashish. "Advancements in Dental Imaging: A Technological Renaissance in Diagnosis and Treatment Planning." World Journal of Clinical Surgery 6, no. 1 (2024): 1–3. http://dx.doi.org/10.52338/wjsurgy.2024.3983.

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Dental imaging technology has undergone significant advancements in recent years, offering dentists unprecedented tools for accurate diagnosis and treatment planning. This article provides a comprehensive overview of the latest innovations in dental imaging and their clinical applications. Cone Beam Computed Tomography (CBCT) has revolutionized imaging by providing high-resolution 3D images with minimal radiation exposure. Its versatility in applications, from implant planning to TMJ analysis, makes it an indispensable tool in modern dentistry. Studies have shown its effectiveness in detecting

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Asghar, Rabia, Madiha Rasheed, Jalees ul Hassan, Mohsin Rafique, Mashooq Khan, and Yulin Deng. "Advancements in Testing Strategies for COVID-19." Biosensors 12, no. 6 (2022): 410. http://dx.doi.org/10.3390/bios12060410.

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The SARS-CoV-2 coronavirus, also known as the disease-causing agent for COVID-19, is a virulent pathogen that may infect people and certain animals. The global spread of COVID-19 and its emerging variation necessitates the development of rapid, reliable, simple, and low-cost diagnostic tools. Many methodologies and devices have been developed for the highly sensitive, selective, cost-effective, and rapid diagnosis of COVID-19. This review organizes the diagnosis platforms into four groups: imaging, molecular-based detection, serological testing, and biosensors. Each platform’s principle, advan

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Parra, Natalia Salinas, Heather M. Ross, Adnan Khan, et al. "Advancements in the Diagnosis of Hepatocellular Carcinoma." International Journal of Translational Medicine 3, no. 1 (2023): 51–65. http://dx.doi.org/10.3390/ijtm3010005.

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Hepatocellular carcinoma (HCC) is the most common primary liver malignancy, with increasing global incidence. Morbidity and mortality associated with HCC remains high, and HCC is the leading cause of cancer death worldwide. Early detection and treatment of HCC can increase five-year survival by over 60%. Detection of HCC remains challenging, however, as HCC arises from a variety of environmental, genetic, and viral etiologies, and it demonstrates a complex pathophysiology and displays a heterogeneous morphology. Current diagnostic methods rely on abdominal ultrasound with or without concurrent

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Alanazi, Maram Mohammed Fawaz. "Advancements in hybrid imaging techniques: Enhancing diagnostic accuracy with PET/MRI and PET/CT." International journal of health sciences 8, S1 (2024): 1800–1811. https://doi.org/10.53730/ijhs.v8ns1.15396.

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Background Hybrid imaging techniques, including PET/MRI and PET/CT, are transforming medical diagnostics by integrating metabolic data from Positron Emission Tomography (PET) with the detailed anatomical resolution provided by Magnetic Resonance Imaging (MRI) or Computed Tomography (CT). This integration improves diagnostic accuracy, especially in oncology, where accurate tumor localization and characterization are essential for effective treatment planning. PET/CT is commonly utilized; however, PET/MRI presents benefits including enhanced soft tissue contrast and decreased radiation exposure,

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