Thematische Bibliographien / Personalized medicine or patient specific medication

Inhaltsverzeichnis

  1. Zeitschriftenartikel
  2. Dissertationen
  3. Bücher
  4. Buchteile
  5. Konferenzberichte
  6. Berichte der Organisationen

Auswahl der wissenschaftlichen Literatur zum Thema „Personalized medicine or patient specific medication“

Autor: Grafiati
Veröffentlicht am 7. Juni 2025
Zuletzt aktualisiert am 2. August 2025

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Zeitschriftenartikel zum Thema "Personalized medicine or patient specific medication"

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Tapas Kumar Mohapatra, Bhabani Sankar Satapathy, Dillip Kumar Mahapatra, and S.N. Das. "The Next Generation of Personalized Medicine: A Comprehensive Review." International Journal of Scientific Research in Science and Technology 12, no. 2 (2025): 01–07. https://doi.org/10.32628/ijsrst2512240.

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The pharmaceutical sector is nevertheless confronted with formidable obstacles. These days Drug research and the advancement of healthcare systems are two areas in which personalized medicine is significantly contributing. Personalized medicine, also known as precision medicine. The basic principle of personalized medicine is that the appropriate drug should be administered to the appropriate patient at the appropriate time for the appropriate period of time. The approach depends on gathering clinical, genetic, and epigenomic data that improves our comprehension of how an individual's distinct
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Shambour, Qusai, Mahran Al-Zyoud, Ahmad Abu-Shareha, and Mosleh Abualhaj. "Medicine Recommender System Based on Semantic and Multi-Criteria Filtering." Interdisciplinary Journal of Information, Knowledge, and Management 18 (2023): 435–57. http://dx.doi.org/10.28945/5172.

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Aim/Purpose: This study aims to devise a personalized solution for online healthcare platforms that can alleviate problems arising from information overload and data sparsity by providing personalized healthcare services to patients. The primary focus of this paper is to develop an effective medicine recommendation approach for recommending suitable medications to patients based on their specific medical conditions. Background: With a growing number of people becoming more conscious about their health, there has been a notable increase in the use of online healthcare platforms and e-services a
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Chaffey, Ben, and Angela Silmon. "Biomarkers in personalized medicine: discovery and delivery." Biochemist 38, no. 1 (2016): 43–47. http://dx.doi.org/10.1042/bio03801043.

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The rapidly developing field of personalized or precision medicine is moving clinical practice towards a new paradigm centred on ‘right patient – right medication – right time'. Such information is obtained through analysis of biomarkers, usually specific proteins or DNA sequences. To expand the range of conditions in which a precision approach can be used, it is vital that new biomarkers continue to be discovered and qualified as having clinical utility. Once this is achieved, it is just as important that clinically validated assays to measure these biomarkers are made available to clinical g
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Akshay, Sonaji Bhambre, Bhimrao Giri Ashok, Ashok Mundhe Swapnil, and Bharat Mahadik Arjun. "Precision and personalized medicine: new way for cancer management." GSC Biological and Pharmaceutical Sciences 18, no. 3 (2022): 046–53. https://doi.org/10.5281/zenodo.6392529.

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Precision and personalized medicine (PPM) introduce to the tailoring of medical treatment to the individual characteristics of each patient. Cancer is one amongst the leading causes of death in India. Maximum chemotherapeutic agents are used for cancer patients, but lack of long-time effectiveness and severe side effects from these agents, to improve therapeutic outcome to developed new tool called PPM as follow. Better understanding of pharmacogenomics has been help to developed and the potential for customizing health care for cancers patients. Recently, PPM has mainly involved the systemati
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Golubev, A. M. "Personalized Critical Care Medicine (Review)." General Reanimatology 18, no. 4 (2022): 45–54. http://dx.doi.org/10.15360/1813-9779-2022-4-45-54.

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Personalized medicine (PM) is a major trend in health care development in the 21st century. This area includes studying risk factors for disease development (prediction), interventions for preventing diseases (prophylaxis), individualization of diagnosis and treatment (personalization), informing the patient on disease prevention and treatment (participation). In the recent years, an intense research to introduce the personalized medicine principles into the management of critically ill patients, has been under way. This includes identification of patient groups based on genomic research, deve
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Akshay Sonaji Bhambre, Ashok Bhimrao Giri, Swapnil Ashok Mundhe, and Arjun Bharat Mahadik. "Precision and personalized medicine: new way for cancer management." GSC Biological and Pharmaceutical Sciences 18, no. 3 (2022): 046–53. http://dx.doi.org/10.30574/gscbps.2022.18.3.0042.

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Precision and personalized medicine (PPM) introduce to the tailoring of medical treatment to the individual characteristics of each patient. Cancer is one amongst the leading causes of death in India. Maximum chemotherapeutic agents are used for cancer patients, but lack of long-time effectiveness and severe side effects from these agents, to improve therapeutic outcome to developed new tool called PPM as follow. Better understanding of pharmacogenomics has been help to developed and the potential for customizing health care for cancers patients. Recently, PPM has mainly involved the systemati
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Swapnil, D. Aade Zameer M. Shah Dr. Shivshankar D. Mhaske Tejas J. Sharma. "Personalized Medicine Approaches in the Treatment Of Mental Health Disorder." International Journal Of Pharmaceutical Sciences 2, no. 12 (2024): 2792–802. https://doi.org/10.5281/zenodo.14541705.

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Personalized medicine, a rapidly evolving approach in healthcare, offers a promising avenue for treating anxiety disorders by tailoring therapeutic interventions to individual patients based on their unique genetic, biological, and environmental profiles. Anxiety disorders are highly heterogeneous, involving complex interactions between genetic predispositions, neurobiological factors, and environmental influences. Traditional treatments, such as pharmacotherapy and cognitive-behavioral therapy (CBT), often result in variable outcomes due to this complexity. Personalized medicine seeks to addr
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Rajpoot, Rimjhim, Jitendra Singh Chaudhary, Vivek Tomar, and Meghna Shimpi. "Advancing Glaucoma Therapy by Exploring the Efficacy and Potential of Brimonidine Niosomal Gel." INTERNATIONAL JOURNAL OF PHARMACEUTICAL QUALITY ASSURANCE 15, no. 03 (2024): 1796–802. http://dx.doi.org/10.25258/ijpqa.15.3.106.

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Glaucoma is a leading cause of permanent vision loss worldwide and is characterised by progressive optic neuropathy with elevated intraocular pressure (IOP) as a major risk factor. Although successful, the current therapeutic strategies are often severely limited by their need for chronic dosing, systemic side effects and poor patient compliance. Brimonidine, an alpha-2 adrenergic receptor agonist which acts selectively, has been beneficial through its IOP-lowering effects by diminishing aqueous humor production and improving uveoscleral outflow. A novel medication delivery technology to enhan
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Gkouvas, N. "Precision Medicine & Pharmacogenomics: Personalized Medication in Neuropsychiatric Disorders using AI and telepsychiatry." European Psychiatry 65, S1 (2022): S678. http://dx.doi.org/10.1192/j.eurpsy.2022.1745.

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Introduction The term “personalised therapy” refers to the use of genetic data to better treat or determine the predisposition to a specific genetic disease, with the ultimate goal of improving quality of life. Telepsychiatry and AI are key to support it.. Objectives Determine benefits of pharmacogenomic analysis (PGx) in CNS diseases regarding: - cost effectiveness - adverse drug reactions - reduced hospitalizations -drug interactions - efficacy - quality of life - “trial and error” approach avoidance Methods Questionnaires before and after the treatment provided using PGX tests Telepsychiatr
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Murthy, Rupa. ""Personalized Medicine" : An Innovative Concept." International Journal of Health and Medicine 3, no. 1 (2018): 1. http://dx.doi.org/10.24178/ijhm.2018.3.1.01.

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"Personalized Medicine" is about empowering patients to have access to their health information at all times.[1] Empowering implies patient participation through the ongoing process of diagnosis, treatment, and rehabilitation.[1] More importantly, "Personalized Medicine" is about having insights into one's health by being able to visualize, recognize, and take timely corrective action when necessary.[1] As important time may be wasted when looking for information during emergencies resulting in delays and potential medical errors, "Personalized Medicine" offers a way for medical and emergency
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Dissertationen zum Thema "Personalized medicine or patient specific medication"

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Santos, Eduardo de Oliveira. "Interventional cardiology simulator for coronary artery disease." Master's thesis, 2018. http://hdl.handle.net/10316/86791.

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Dissertação de Mestrado Integrado em Engenharia Mecânica apresentada à Faculdade de Ciências e Tecnologia<br>A simulção médica é um campo em crescimento, incentivando a medicina pesonalizada e um melhor tratamento dos pacientes. Com o aumento do uso de técnicas de prototipagem rápida como a impressão 3D, aparecem novas oportunidades de uso das mesmas aplicadas a esta área. O facto de que o erro médico é a terceira maior causa de morte nos Estados Unidos e que a American Food and Drug Administration considera que deve existir treino de simulação para a utilização de novos dispositivos reitera e
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Bücher zum Thema "Personalized medicine or patient specific medication"

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Kerckhoffs, Roy C. P. Patient specific modeling of the cardiovascular system: Technology-driven personalized medicine. Springer, 2010.

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Kerckhoffs, Roy C. P. Patient-Specific Modeling of the Cardiovascular System: Technology-Driven Personalized Medicine. Springer, 2011.

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Kerckhoffs, Roy C. P. Patient-Specific Modeling of the Cardiovascular System: Technology-Driven Personalized Medicine. Springer, 2014.

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Gupta, Swapnil, John Cahill, and Rebecca Miller. Deprescribing in Psychiatry. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780190654818.001.0001.

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With the growth of polypharmacy across medicine, the concept of deprescribing—reducing or eliminating the use of medication—is gaining traction among prescribers in a range of specialties. Applying this concept to psychiatry is more complex than in other fields of medicine and requires expanding the intervention to include consideration of psychological, social, environmental, and cultural factors. Taking a recovery-oriented and strengths-based approach, this book outlines the need for deprescribing in psychiatry and expands on the intervention to look at barriers and strategies for addressing
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Buchteile zum Thema "Personalized medicine or patient specific medication"

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Linninger, Andreas A. "Image-Based Computational Fluid Dynamics for Patient-Specific Therapy Design and Personalized Medicine." In Patient-Specific Modeling in Tomorrow's Medicine. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/8415_2011_101.

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Kothurkar, Rohan, Taral Nagda, Chasanal Rathod, and Ramesh Lekurwale. "Personalized Medicine: Advances, Challenges, and Future Perspectives in Patient-Specific Implants and Surgical Guides." In Biomaterials in Orthopaedics & Trauma. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3017-2_15.

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Javaid, Mohd, Abid Haleem, and Tauseef Uddin Siddiqui. "Advancing Personalized Medicine: The Role of Additive Manufacturing in Patient-Specific Implants and Tissue Engineering." In Biomaterials in Orthopaedics & Trauma. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3017-2_14.

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Li, Yao, Lawrence Chan, Huy V. Nguyen, and Stephen H. Tsang. "Personalized Medicine: Cell and Gene Therapy Based on Patient-Specific iPSC-Derived Retinal Pigment Epithelium Cells." In Retinal Degenerative Diseases. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17121-0_73.

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Dhingra-Kumar, Neelam, Silvio Brusaferro, and Luca Arnoldo. "Patient Safety in the World." In Textbook of Patient Safety and Clinical Risk Management. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59403-9_8.

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AbstractPatient safety is a fundamental principle of health care. However, many medical practices and risks associated with health care are emerging as major challenges for patient safety globally and contribute significantly to the burden of harm due to unsafe care. Available evidence suggests hospitalizations in low- and middle-income countries lead annually to 134 million adverse events, contributing to 2.6 million deaths. About 134 million adverse events worldwide give rise to 2.6 million deaths every year. Estimates indicate that in high-income countries, about 1 in 10 patients is harmed
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Gupta, Puneet, Pavan Krishna Chand Kusampudi, and Sri Akash Pendam. "Personalized Medicine and AMR." In Advances in Medical Technologies and Clinical Practice. IGI Global, 2024. https://doi.org/10.4018/979-8-3693-7550-1.ch010.

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This chapter explores the transformative role of Artificial Intelligence (AI) in the fields of personalized medicine and antimicrobial resistance (AMR). Personalized medicine tailors medical treatment to the individual characteristics of each patient, enhancing the effectiveness of therapies. AI technology, with its ability to analyze vast amounts of data quickly and accurately, is a game-changer in this domain. By leveraging AI, healthcare providers can predict which treatments will work best for specific patients, reducing trial-and-error in medication prescription and improving overall heal
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Tiwari, Mr Satyam. "THE ROLE OF ARTIFICIAL INTELLIGENCE IN MEDICATION THERAPY MANAGEMENT." In Futuristic Trends in Pharmacy & Nursing Volume 3 Book 10. Iterative International Publisher, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bgpn10p3ch2.

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In recent years, the integration of Artificial Intelligence (AI) in healthcare has become a transformative force, revolutionizing various aspects of patient care. One area where AI has demonstrated significant potential is in Medication Therapy Management (MTM). This paper explores the evolving role of AI in MTM, examining its impact on patient outcomes, healthcare efficiency, and the overall landscape of medication management. The complexity of modern healthcare, coupled with the exponential growth of medical knowledge, has led to challenges in delivering safe and effective medication therapy
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Kukreti, Neha, Khushi Lamba, Pankaj Pant, Sharad Visht, and Shilpa Rana. "A Paradigm Shift on Emergence of Pharmacogenomics in the Era of Personalized Medicine." In Advances in Medical Technologies and Clinical Practice. IGI Global, 2024. https://doi.org/10.4018/979-8-3693-6597-7.ch001.

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Pharmacogenomics is the study of genetic modifications in patients that influence their potential to metabolize medications, encouraging their tolerability and desired effect. Genetic (like genome-wide association &amp; candidate gene) methods may help in choosing the most suitable drug and dosage, by impeding adverse drug reactions (ADRs). Pharmacogenomics are usually documented as key steps in personalized medicine. The significance of personalized medicine in healthcare is developing due to its defined genetic and molecular basis. Personalized medicine anticipates the beneficial or serious
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Freeman, Chrisanne. "Pharmacogenomics - A Prospective Journey Towards Precision Medicine." In Advances in Genetic Polymorphisms [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.1001943.

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In personalized medicine, genomic data is utilized to concentrate on individual reactions to drugs. At the point when a gene variation is related with a specific medication reaction in a patient, there is the potential for settling on clinical choices in light of hereditary by changing the dose or picking an alternate drug, for instance. Researchers survey gene variations influencing a person's medication reaction the same way they evaluate gene variations related with a certain illnesses: by recognizing hereditary loci related with known drug reactions, and afterward testing people whose reac
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Khan, Zuber, Mrs Mumtaz, Mohd Anas Saifi, Rizwan Ahamad, and Asad Ali. "DOSAGE FORM DESIGN." In Futuristic Trends in Pharmacy & Nursing Volume 3 Book 13. Iterative International Publisher, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bgpn13p2ch1.

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Designing pharmaceutical dosage forms is a crucial field that tries to provide convenient, reliable, and safe drug delivery systems. By spanning the gap between active medication ingredients and their administration, this multidisciplinary sector ensures the best possible therapeutic results. Drug qualities, patient characteristics, administration method, release kinetics, and manufacturing considerations are taken into account while designing dosage forms. The design must take into consideration the various demands of patients across age groups, from difficulties with compliance in young chil
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Konferenzberichte zum Thema "Personalized medicine or patient specific medication"

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Kim, Jonghyeok, Hosung Kwon, Jonghyeon Kim, Jinsoo Park, Soong-Un Choi, and Sookyung Kim. "PillGood: Automated and Interactive Pill Dispenser Using Facial Recognition for Safe and Personalized Medication." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/854.

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Safety of taking medicine prescribed differently to each patient in hospital relies on the discernment of medical professionals who deals with measuring pill quantity, packaging, and distributing. It is difficult and time consuming to keep track of medication record of each patient. Also, medication safety is prone to be in risk due to the human error. To help patients get accurate medication following their prescription plan with minimizing human labors and mistakes, we developed PillGood, an automated smart pill dispenser system using facial recognition technique. PillGood provides real-time
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Affan, Affan, Jacek M. Zurada, and Tamer Inane. "Patient-Specific Modeling and Model Predictive Control Approach to Personalized Optimal Anemia Management." In 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2023. http://dx.doi.org/10.1109/embc40787.2023.10340171.

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Whitney, Paul, Jonathan Young, John Santell, Rodney Hicks, Christian Posse, and Barbara Fecht. "Analysis of Medication Error Reports." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-61182.

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In medicine, as in many areas of research and society, technological innovation and the shift from paper based information to electronic records has created a climate of ever increasing availability of raw data. There has been a corresponding lag in our abilities to analyze this mass of data, and traditional forms and expressions of statistical analysis do not allow researchers and practitioners to interact with data in the most productive way. This is true in the emerging area of patient safety improvement. Traditionally, a majority of the analysis of error and incident reports are approached
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Suchkov, Sergey. "Advancing and Translating Personalized and Precision Medicine in Pediatric Services to secure the human Wellness and Biosafety: Past, Present and Future." In World Conference on Gynecology, Obstetrics, and Pediatrics. Eurasia Conferences, 2025. https://doi.org/10.62422/978-81-981865-0-8-009.

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And personalized tumor molecular profiles (tumor biomarkers can be OMICS-profiles that predict therapy response.), tumor disease site and other patient characteristics are then potentially used for determining optimum individualized therapy options. Recent advances in systems biology and cancer pathology have tremendously affected the practice of pathology, gradually transforming it from a morphology-based into a precise molecular-based cancer-related discipline. The improvement of methodology for genomic testing has made it one of the cornerstones of PPM-related cancer medicine (PPO). Various
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Feng, Yu, Xiaole Chen, and Mingshi Yang. "An In Silico Investigation of a Lobe-Specific Targeted Pulmonary Drug Delivery Method." In 2018 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dmd2018-6928.

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Nowadays, “personalized medicine” is starting to replace the current “one size fits all” approach. The goal is to have the right drug with the right dose for the right patient at the right time and location. Indeed, conventional pulmonary drug delivery devices still have poor efficiencies (&lt;25%) for delivering drugs to the lung tumor sites. Major portions of the aggressive medicine deposit on healthy tissue, which causes severe side effects and induces extra health care expenses. Therefore, a new targeted pulmonary drug delivery method is proposed and evaluated using the Computational Fluid
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Hanks, Bradley, Shantanab Dinda, and Sanjay Joshi. "Redesign of the Femoral Stem for a Total Hip Arthroplasty for Additive Manufacturing." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-85850.

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Total hip arthroplasty (THA) is an increasingly common procedure that replaces all or part of the hip joint. The average age of patients is decreasing, which in turn increases the need for more durable implants. Revisions in hip implants are frequently caused by three primary issues: femoral loading, poor fixation, and stress shielding. First, as the age of hip implant patients decreases, the hip implants are seeing increased loading, beyond what they were traditionally designed for. Second, traditional implants may have roughened surfaces but are not fully porous which would allow bone to gro
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Bononato, José Manuel Lagos, Jaime Letzkus Berrios, Jorge Gamboa Galte, María José Del Río Vigil, Guillermo Belmar Soto, and Andrea Sepúlveda Hales. "EXTREME ONCOPLASTIC SURGERY IN A PATIENT WITH BREAST CANCER AND MACROMASTIA." In Brazilian Breast Cancer Symposium 2022. Mastology, 2022. http://dx.doi.org/10.29289/259453942022v32s2088.

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Until the 1970s–1980s, the only treatment recommended for breast cancer was mastectomy. During those years, prospective randomized trials confirmed the survival equivalency for breast conservation (when compared to patients with tumors 5 cm or smaller). During the past decades, there has been significant progress in breast cancer diagnosis and treatment. This progress has led to improved overall and breast cancer-specific survival. Extreme oncoplasty is a breast- -conserving surgery that uses oncoplastic techniques in a patient who, in most cases, would require a mastectomy. This is particular
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Suchkov, Sergey. "Strategies for integrating Personalized and Precision Medicine (PPM) into Reproductive Healthcare Practice to Secure the Human Healthcare, Wellness and Biosafety: Forging the Grand Consensus." In World Conference on Gynecology, Obstetrics, and Pediatrics. Eurasia Conferences, 2025. https://doi.org/10.62422/978-81-981865-0-8-002.

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A new systems approach to diseased states and wellness result in a new branch in the healthcare services, namely, personalized and precision medicine (PPM). Meanwhile, the era of genomics-based medicine and thus genomics biomarkers promises to provide molecular tests that will permit PPM as applicable to personalized and precision oncology (PPO). Using the PCL-5 questionnaire and according to the DSM-5 criteria for PTSD, 20% were To achieve the implementation of PPM-guided oncology concept, it is necessary to create a funda-mentally new strategy based upon the subclinical recognition of biopre
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Daraio, Cinzia, Simone Di Leo, and Jacopo Orsini. "Digital Twins in Healthcare: State of the Art, Bibliometric Analysis and Future Perspectives." In 20th International Conference on Scientometrics & Informetrics. Institute for Informatics and Automation Problems of NAS RA, 2025. https://doi.org/10.51408/issi2025_015.

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Digital Twins (DTs) are reshaping healthcare by providing dynamic, digital counterparts of physical systems, enabling real-time interaction, simulation, and analysis. These systems leverage advanced modeling and real-world data integration to optimize medical training, planning, and patient-specific care. This paper explores the evolution of DTs in healthcare, presenting a bibliometric analysis of trends and outlying future directions. The state-of-the-art section highlights technological advances in DTs, with a particular focus on simulating complex physiological behaviors. These advancements
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Bratosin, Ioan alexandru, Ionelbujorel Pavaloiu, Andrei Vasilateanu, Nicolae Goga, Diana Gavajuc, and George Dragoi. "VIRTUAL REALITY THERAPY FOR PAIN." In eLSE 2020. University Publishing House, 2020. http://dx.doi.org/10.12753/2066-026x-20-193.

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Pain is the unpleasant condition raised as a normal response of the body to injury and illness. In the case of Chronic Pain Syndrome, this can ailment can continue even after the cause that provoked it has disappeared. The classical painkiller medicines (like paracetamol, non-steroidal anti-inflammatory drugs and opioids) are used as therapy, but they raise problems of overdose, adverse side-effects and addiction. Virtual Reality Therapy (VRT) is showing promise as a possible drug-free substitute for pain management. The VRT lets patients to navigate through Virtual Reality environments and to
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Berichte der Organisationen zum Thema "Personalized medicine or patient specific medication"

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Zhang, Yu, Chaoliang Sun, Hengxi Xu, et al. Connectivity-Based Subtyping of De Novo Parkinson Disease: Biomarkers, Medication Effects and Longitudinal Progression. Progress in Neurobiology, 2024. http://dx.doi.org/10.60124/j.pneuro.2024.10.04.

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Parkinson's disease (PD) is characterized by divergent clinical symptoms and prognosis, suggesting the presence of distinct subtypes. Identifying these subtypes is crucial for understanding the underlying pathophysiology, predicting disease progression, and developing personalized treatments. In this study, we propose a connectivity-based subtyping approach, which measures each patient's deviation from the reference structural covariance networks established in healthy controls. Using data from the Parkinson's Progression Markers Initiative, we identified two distinct subtypes of de novo PD pa
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Almulihi, Qasem, and Asaad Shujaa. Does Departmental Simulation and Team Training Program Reduce Medical Error and Improve Quality of Patient Care? A Systemic Review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.3.0006.

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Review question / Objective: This systematic review aimed to assess whether human simulations or machine stimulations programs would help to prevent medical errors and improve patient safety. Information sources: The search terms “Medical Simulation” [Mesh], “Medication Errors” [Mesh], “Patient safety” [Mesh] were implemented, to be as specific and selective as possible. We searched for all the publications in the Medline database, Web of Science, and Google Scholar from 2000 (when the idea of simulation in healthcare to prevent ME was employed for the first time by the Institute of Medicine (
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