Academic literature on the topic 'Personalized medicin'

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Journal articles on the topic "Personalized medicin"

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Teixeira, Túlio Weslley Dantas, Maria Carolina Wanderley, and Roberta Luciana do Nascimento Godone. "Medicina personalizada no tratamento do câncer/Personalized medicine in cancer treatment." Brazilian Journal of Health Review 3, no. 6 (2020): 18789–93. http://dx.doi.org/10.34119/bjhrv3n6-266.

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Teixeira, Túlio Weslley Dantas, Maria Carolina Wanderley, and Roberta Luciana do Nascimento Godone. "Medicina personalizada no tratamento do câncer/Personalized medicine in cancer treatment." Brazilian Journal of Health Review 3, no. 6 (2020): 18789–93. http://dx.doi.org/10.34119/bjhrv3n6-266.

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Pereginya, O. V. ,. "TRANSLATION MEDICINE, BIOMEDICINE AND MEDICAL BIOTECHNOLOGY: THE TRANSITION TO PERSONALIZED MEDICINE." Biotechnologia Acta 13, no. 2 (2020): 5–11. http://dx.doi.org/10.15407/biotech13.02.005.

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Kutty, Dr AVM. "Personalized Medicine : An Overview." JOURNAL OF CLINICAL AND BIOMEDICAL SCIENCES 08, no. 2 (2018): 36–38. http://dx.doi.org/10.58739/jcbs/v08i2.7.

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The advancements in Science and Technology are paving way to reconsider the manner in which we define disease, drug development, diagnosis and treatment. The analytical capabilities of biological specimens have seen an explosion and have contributed tremendously to the diagnosis of diseases in general and genetic diseases in particular. There is a transformation of description of diseases from simple anatomical location and clinical symptoms which failed to take into consideration the unique biological profile of the patient, which could determine the therapeutic efficacy of the drugs being ad
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Awwalu, Jamilu, Ali Garba Garba, Anahita Ghazvini, and Rose Atuah. "Artificial Intelligence in Personalized Medicine Application of AI Algorithms in Solving Personalized Medicine Problems." International Journal of Computer Theory and Engineering 7, no. 6 (2015): 439–43. http://dx.doi.org/10.7763/ijcte.2015.v7.999.

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P, Ajmal Rasi K., and Puneeth Vishnukeerthy K. "Personalized Medicine Revolution Medicine based on Genomics Makeup." International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (2018): 433–39. http://dx.doi.org/10.31142/ijtsrd12982.

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Singhal, Dr Udita. "Personalized Medicine: Evolving paradigm in Pathology." Recent Advances in Pathology & Laboratory Medicine 3, no. 2 (2017): 17–22. http://dx.doi.org/10.24321/2454.8642.201703.

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Movafagh, Abolfazl. "Personalised Medicine in Modern Era." Asian Pacific Journal of Cancer Biology 1, no. 2 (2016): 31–32. http://dx.doi.org/10.31557/apjcb.2016.1.2.31-32.

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Personalised Medicine is a medical procedure that separates patients into different groups-with medical decisions, practices, interventions and/or products being tailored to the individual patient based on their predicted response or risk of disease. The terms personalized medicine, precision medicine, stratified medicine are used interchangeably to describe this concept.
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Suhonen, Riitta, Minna Stolt, and David Edvardsson. "Personalized Nursing and Health Care: Advancing Positive Patient Outcomes in Complex and Multilevel Care Environments." Journal of Personalized Medicine 12, no. 11 (2022): 1801. http://dx.doi.org/10.3390/jpm12111801.

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Tsvetanova, Kameliya. "The Patient as Target of Personalized Medicine." International Journal of Science and Research (IJSR) 10, no. 1 (2021): 1551–53. https://doi.org/10.21275/sr21128023659.

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Dissertations / Theses on the topic "Personalized medicin"

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BHARAT, ROHIT. "Targeting cancer cell metabolism: Gateway towards personalized medicine." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2019. http://hdl.handle.net/10281/241161.

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Nell'ultimo decennio, uno dei messaggi chiave derivante dalle ricerche scientifiche sul cancro è la necessità di comprendere meglio il metabolismo delle cellule tumorali per lo sviluppo di una terapia personalizzata migliore e più efficace. Le cellule tumorali attuano un riarrangiamento metabolico che coinvolge diversi processi per supportare la loro natura proliferativa ed invasiva. Per meglio comprendere l’entità del cambiamento metabolico, in questo studio abbiamo utilizzato un approccio systems level impiegando la metabolomica untargeted e la flussomica mediante isotopi stabili del carbo
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Götze, Sarah, Daniella Ekström, Forssén Tore Larsson, Eric Sjöö, Frisinger Emma Svanberg, and Linnea Wikström. "Personalized Medicine." Thesis, Uppsala universitet, Institutionen för biologisk grundutbildning, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-444200.

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The aim of this project was to present several therapies and possible applications of these in the field of personalized medicine along with the production techniques and workflows surrounding them. There are two main categories; cell therapies and non-cell therapies. Cell therapies utilize the body's own T cells and immune system, and non-cell therapies are mostly based on proteins and nucleotides. All of these applications face different challenges that need to be overcome to be considered effective treatments and they all have a high production cost. The report also presents differences and
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Marín, Falco Matías. "Estudio de la heterogeneidad regulatoria en cáncer y sus implicaciones en la medicina personalizada." Doctoral thesis, Universitat Politècnica de València, 2021. http://hdl.handle.net/10251/165413.

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[ES] El cáncer es la segunda causa de muerte en el mundo y se caracteriza principalmente por la proliferación descontrolada de las células que forman el tumor. Aunque el desarrollo de un tumor es posible debido a ciertos procesos comunes desencadenados por la desregulación del equilibrio existente entre los componentes moleculares de una célula y sus elementos de control, existe una gran heterogeneidad en los mecanismos a través de los cuales ocurre dicha desregulación. Gracias al desarrollo de nuevas tecnologías de secuenciación ha sido posible observar como esta heterogeneidad no solo se obs
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Frunza, Oana Magdalena. "Personalized Medicine through Automatic Extraction of Information from Medical Texts." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/22724.

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The wealth of medical-related information available today gives rise to a multidimensional source of knowledge. Research discoveries published in prestigious venues, electronic-health records data, discharge summaries, clinical notes, etc., all represent important medical information that can assist in the medical decision-making process. The challenge that comes with accessing and using such vast and diverse sources of data stands in the ability to distil and extract reliable and relevant information. Computer-based tools that use natural language processing and machine learning
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Trincado, Alonso Juan Luis 1987. "Characterization of clinically relevant RNA alterations for personalized cancer medicine." Doctoral thesis, Universitat Pompeu Fabra, 2019. http://hdl.handle.net/10803/665991.

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The following thesis tries to answer the question of wheter RNA processing alterations are informative for the clinical management of cancer patients. For this, the work is focused on solve two main issues: the development of computational tools to study RNA profiles from multiple tumors and the identification of RNA-related signatures that may be predictive of prognosis and therapy. The thesis is divided in three chapters: First, the development a new tool for fast quantification of differential splicing: SUPPA2. Second, a new methodology for elucidating the prognostic potential of alternati
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Bachur, Catherine. "Integrating social context into personalized medicine." Master's thesis, Temple University Libraries, 2019. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/549613.

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Urban Bioethics<br>M.A.<br>Personalized medicine is the idea that every patient can be treated in a unique manner, tailored specifically to his or her individual needs. Traditionally the field of personalized medicine has focused on using genetic information to determine medical treatment. However, humans are not only the sum of their genetic parts. All people exist within the context of their environment, their experiences, and their relationships. While the connection between this greater context and medical treatment may not be immediately obvious, it exists. If we are to truly tailor medic
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Papke, Todd Alan. "Personalized audio warning alerts in medicine." Diss., University of Iowa, 2014. https://ir.uiowa.edu/etd/1378.

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Modern Electronic Health Record (EHR) systems are now integral to healthcare. Having evolved from hospital billing and laboratory systems in the 80's, EHR systems have grown considerably as we learn to represent more and more aspects of patient encounter, diagnosis and treatment digitally. EHR user interfaces, however, lag considerably behind their consumer-electronics counterparts in usability, most notably with respect to customizability. This limitation is especially evident in the implementation of audible alerts that are coupled to sensors or timing devices in intensive-care settings. The
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Ahmed, Abdul-Kareem H. "SIGN HERE : informed consent in personalized medicine." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/83832.

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Thesis (S.M. in Science Writing)--Massachusetts Institute of Technology, Dept. of Comparative Media Studies, 2013.<br>Vita. Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 27-30).<br>The next era of medicine will be one of personalization, scientists and physicians promise. Personalized medicine is a refined clinical approach in which clinicians will utilize your genomic information to help you prevent disease, and tailor targeted therapies for you when you fall ill. This is the future science has slowly been approaching. However, the human genome is not eno
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Ceccato, Filippo. "Personalized medical treatment for pituitary adenoma." Doctoral thesis, Università degli studi di Padova, 2019. http://hdl.handle.net/11577/3421850.

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Introduction and Aim: Pituitary adenomas are common neoplasms, with a reported prevalence of about one case in 1000 subjects. Patients with pituitary adenomas show significant morbidity due to pituitary hormone hypersecretion or deficiencies, mass effects and infiltration of the surrounding tissues. Although trans-sphenoidal surgery and radiotherapy are largely used to treat patients with pituitary adenomas, the overall long-term remission rate is not complete, beside side effects of surgery or brain irradiation. Therefore, medical treatments with pituitary-directed drugs are increasingly used
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Ayati, Marzieh. "Algorithms to Integrate Omics Data for Personalized Medicine." Case Western Reserve University School of Graduate Studies / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case1527679638507616.

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Books on the topic "Personalized medicin"

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Bodiroga-Vukobrat, Nada, Daniel Rukavina, Krešimir Pavelić, and Gerald G. Sander, eds. Personalized Medicine. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39349-0.

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El-Khamisy, Sherif, ed. Personalised Medicine. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60733-7.

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Jain, Kewal K. Textbook of Personalized Medicine. Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2553-7.

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Jain, Kewal K. Textbook of Personalized Medicine. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62080-6.

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Jain, Kewal K. Textbook of Personalized Medicine. Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-0769-1.

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Freitas, Ana T., and Arcadi Navarro, eds. Bioinformatics for Personalized Medicine. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28062-7.

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Cohen, Nadine, ed. Pharmacogenomics and Personalized Medicine. Humana Press, 2008. http://dx.doi.org/10.1007/978-1-59745-439-1.

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Kichko, Katharina. Personalized Medicine as Innovation. Springer Fachmedien Wiesbaden, 2019. http://dx.doi.org/10.1007/978-3-658-27843-4.

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Barh, Debmalya, Dipali Dhawan, and Nirmal Kumar Ganguly, eds. Omics for Personalized Medicine. Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-1184-6.

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service), ScienceDirect (Online, ed. Genomic and personalized medicine. Elsevier/Academic Press, 2009.

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Book chapters on the topic "Personalized medicin"

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Bureš, Vladimír, Pavel Čech, Martina Husáková, et al. "Use of Virtual Medical Cases as a Learning Tool in Medicine." In Personalized Learning. Routledge, 2023. http://dx.doi.org/10.4324/9781003448952-5.

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Pavelić, Krešimir, Sandra Kraljević Pavelić, and Mirela Sedić. "Personalized Medicine: The Path to New Medicine." In Personalized Medicine. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39349-0_1.

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Ayer, Turgay, and Qiushi Chen. "Personalized Medicine." In Handbook of Healthcare Analytics. John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119300977.ch6.

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Ortega, Victor E. "Personalized Medicine." In Respiratory Medicine. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43447-6_13.

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Bartnik, Ewa. "Personalized Medicine." In Encyclopedia of Global Bioethics. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-09483-0_334.

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Peissig, Peggy, Anne Nikolai, Ingrid Glurich, and Murray Brilliant. "Personalized Medicine." In Drug Discovery and Evaluation: Pharmacological Assays. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-05392-9_117.

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Bartnik, Ewa. "Personalized Medicine." In Encyclopedia of Global Bioethics. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-05544-2_334-1.

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Goodsaid, Federico, Felix Frueh, and Michael E. Burczynski. "Personalized Medicine." In Drug Discovery and Evaluation: Methods in Clinical Pharmacology. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-56637-5_47-1.

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Foster, Simmie L., Samuel R. Petrie, David Mischoulon, and Maurizio Fava. "Personalized Medicine." In The Massachusetts General Hospital Guide to Depression. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97241-1_8.

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Goodsaid, Federico, Felix Frueh, and Michael E. Burczynski. "Personalized Medicine." In Drug Discovery and Evaluation: Methods in Clinical Pharmacology. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-68864-0_47.

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Conference papers on the topic "Personalized medicin"

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Mirzapure, Isha A., Umesh Telrandhe, Mayur R. Dandekar, and Yash M. Salve. "Deep Learning for Personalized Medicine: A Comprehensive Review." In 2025 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL). IEEE, 2025. https://doi.org/10.1109/icsadl65848.2025.10933299.

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Tejpal, Karan, and Simar Preet Singh. "Enhancing Personalized Medicine Using Data Analytics and Artificial Intelligence." In 2024 7th International Conference on Contemporary Computing and Informatics (IC3I). IEEE, 2024. https://doi.org/10.1109/ic3i61595.2024.10828668.

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Halim, Erwin, Natasha Edyta Attan, Redondo Delve Chow, and Davine Dorothy Halim. "Using AI Algorithms for Predictive Analysis in Personalized Medicine." In 2024 Ninth International Conference on Informatics and Computing (ICIC). IEEE, 2024. https://doi.org/10.1109/icic64337.2024.10956226.

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Бородин, Евгений, and Evgeniy Borodin. "PERSONALIZED MEDICINE." In XII International Scientific Conference (correspondence, electronic) "System analysis in medicine" (SAM 2018). Far Eastern Scientific Center of Physiology and Pathology of Respiration, 2018. http://dx.doi.org/10.12737/conferencearticle_5bdaace39176e3.14425520.

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Tarabrin, R. E., and E. S. Pyatigorec. "BIOETHICAL ISSUES OF VACCINOMICS." In I International Congress “The Latest Achievements of Medicine, Healthcare, and Health-Saving Technologies”. Kemerovo State University, 2023. http://dx.doi.org/10.21603/-i-ic-130.

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Vaccinomics, as one of the areas of personalized medicine, can increase the effectiveness of&#x0D; vaccines, including in epidemics. Nevertheless, it is accompanied by a cluster of bioethical issues.&#x0D; The article explores possible bioethical difficulties associated with the development of personalized&#x0D; vaccines: the matching of the research subject and the person receiving the vaccine; the problem of&#x0D; confidential genetic data; equitable distribution of medical resources.
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Gribova, Valeriya, Dmitriy Okun', and Roman Kovalev. "PRINCIPLES AND ARCHITECTURE OF THE SPECIALIZED SHELL FOR BUILDING INTELLIGENT SYSTEMS FOR TREATMENT PRESCRIBE." In XIV International Scientific Conference "System Analysis in Medicine". Far Eastern Scientific Center of Physiology and Pathology of Respiration, 2020. http://dx.doi.org/10.12737/conferencearticle_5fe01d9bd6c696.88986403.

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The paper describes the basic principles of development and architecture of an intelligent medical decision support system based on a specialized shell. The system allows you to prescribe a personalized treatment in various fields of medicine. The system is based on the ontological approach and uses generally accepted medical terminology to form knowledge
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Galić, Irena, and Marija Habijan. "Deep Learning in Medical Image Analysis for Personalized Medicine." In 2023 International Symposium ELMAR. IEEE, 2023. http://dx.doi.org/10.1109/elmar59410.2023.10253934.

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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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Morozova, T. V., and L. V. Pokhodzey. "PROMISING DIRECTIONS OF SCIENTIFIC AND PEDAGOGICAL WORK OF THE DEPARTMENT OF OCCUPATIONAL MEDICINE, AVIATION, SPACE AND DIVING MEDICINE." In The 16th «OCCUPATION and HEALTH» Russian National Congress with International Participation (OHRNC-2021). FSBSI “IRIOH”, 2021. http://dx.doi.org/10.31089/978-5-6042929-2-1-2021-1-355-358.

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Abstract: The main promising directions of research activities of the department and pedagogical work with the use of new forms of professional training of specialists in the field of occupational medicine based on the concept of lifelong education and a competence-based approach are presented. The department develops "biomedicine of the future" with the involvement of the latest achievements in the field of medical biochemistry, molecular biology, bioengineering, biotechnology, medical radiobiology. The department carries out the development and implementation of programs of higher profession
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Ayday, Erman, Jean Louis Raisaro, Jean-Pierre Hubaux, and Jacques Rougemont. "Protecting and evaluating genomic privacy in medical tests and personalized medicine." In CCS'13: 2013 ACM SIGSAC Conference on Computer and Communications Security. ACM, 2013. http://dx.doi.org/10.1145/2517840.2517843.

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Reports on the topic "Personalized medicin"

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Conley, Dalton. The Paradox of Personalized Medicine. Milbank Memorial Fund, 2024. https://doi.org/10.1599/mqop.2025.0405.

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Howard, David, Jason Hockenberry, and Guy David. Personalized Medicine When Physicians Induce Demand. National Bureau of Economic Research, 2017. http://dx.doi.org/10.3386/w24054.

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Egan, Mark, and Tomas Philipson. Health Care Adherence and Personalized Medicine. National Bureau of Economic Research, 2014. http://dx.doi.org/10.3386/w20330.

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Pasinetti, Giulio M. Personalized Medicine in Veterans with Traumatic Brain Injuries. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada505340.

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Pasinetti, Giulio M. Personalized Medicine in Veterans with Traumatic Brain Injuries. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada573371.

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Pasinetti, Giulio M. Personalized Medicine in Veterans with Traumatic Brain Injuries. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada584500.

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Pasinetti, Giulio M. Personalized Medicine in Veterans with Traumatic Brain Injuries. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada555685.

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Manski, Charles. Credible Ecological Inference for Personalized Medicine: Formalizing Clinical Judgment. National Bureau of Economic Research, 2016. http://dx.doi.org/10.3386/w22643.

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Garassino, Marina Chiara, Kunle Odunsi, Marciano Siniscalchi, and Pietro Veronesi. On the Economic Infeasibility of Personalized Medicine, and a Solution. National Bureau of Economic Research, 2025. https://doi.org/10.3386/w33539.

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Manski, Charles. Probabilistic Prediction for Binary Treatment Choice: with Focus on Personalized Medicine. National Bureau of Economic Research, 2021. http://dx.doi.org/10.3386/w29358.

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