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Articles de revues sur le sujet « Personalized medicin »

Auteur : Grafiati

Publié le 9 mars 2023

Mis à jour le 10 mars 2023

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1

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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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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3

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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4

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 administered.

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5

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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6

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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8

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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9

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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10

Nardini, Christine, Venet Osmani, Paola G. Cormio, et al. "The evolution of personalized healthcare and the pivotal role of European regions in its implementation." Personalized Medicine 18, no. 3 (2021): 283–94. http://dx.doi.org/10.2217/pme-2020-0115.

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Personalized medicine (PM) moves at the same pace of data and technology and calls for important changes in healthcare. New players are participating, providing impulse to PM. We review the conceptual foundations for PM and personalized healthcare and their evolution through scientific publications where a clear definition and the features of the different formulations are identifiable. We then examined PM policy documents of the International Consortium for Personalised Medicine and related initiatives to understand how PM stakeholders have been changing. Regional authorities and stakeholders have joined the race to deliver personalized care and are driving toward what could be termed as the next personalized healthcare. Their role as a key stakeholder in PM is expected to be pivotal.

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11

Alahmari, Abdulwahab. "Numbers in radiology and personalized medicine: A commentary." International Journal of Clinical Case Reports and Reviews 8, no. 3 (2021): 01. http://dx.doi.org/10.31579/2690-4861/167.

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Some of the numbers in radiology used as a criteria to make or role out a diagnosis for some conditions. These numbers should not be taken for granted since personalized medicine state that every patient is different and should be treated based on his/her condition. Those numbers can’t be used as a golden slandered in all case. This commentary will focus on some examples where numbers as a criteria failed or made the diagnosis impossible.

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12

Pradhan, Dr Dibyabhaba. "Biomedical Informatics: From Clinical Data to Personalized Medicine." JOURNAL OF CLINICAL AND BIOMEDICAL SCIENCES 04, no. 3 (2014): 301–2. http://dx.doi.org/10.58739/jcbs/v04i3.11.

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13

Volchek, Igor Vladimirovich, Andrey Stanislavovich Petrov, and Ekaterina Alexandrovna Osmalovskaya. "Personalized therapy with use of screening drugs in pediatrics." Pediatrician (St. Petersburg) 4, no. 2 (2013): 75–80. http://dx.doi.org/10.17816/ped4275-80.

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Currently, personalized medicine is one of the most promising areas of medicine XXI century. We review the data on the use of screening drugs in vitro by its effect on the thiol-disulfide ratio (TDR) of blood for the personalized treatment of chronic hepatitis C, herpes and human papillomavirus infection, chronic bronchitis, repeated giardiasis in children and adults, as well as personalized immunotherapy of frequently ill children. It is concluded that this method can be used to personalize the antibacterial, antiviral, antiprotozoal and immunotherapy in children in order to increase its efficiency, to overcome resistance to antibiotic, antiviral, antiprotozoal and immune drugs, search for the best medications, their dosages and combinations, reducing the incidence of side effects and cost of treatment.

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14

Gupta, OP. "Personalized Medicine." Journal of Mahatma Gandhi Institute of Medical Sciences 24, no. 1 (2019): 1. http://dx.doi.org/10.4103/jmgims.jmgims_10_19.

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15

Dedov, Ivan I. "Personalized Medicine." Annals of the Russian academy of medical sciences 74, no. 1 (2019): 61–70. http://dx.doi.org/10.15690/vramn1108.

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Evidence-based medicine at the end of the 20th century saved many lives, allowing us to reliably screen out pseudoscientific and dangerous methods. The medical community has gained access to weighted “standards” for treating common diseases. Unfortunately, this algorithmic approach pays for the breadth of coverage with low specificity of recommendations. In this article, the necessity and timeliness of the next step - the transition from broad clinical generalizations to working with the individual characteristics of the patient - are substantiated. The discussion opens with a forced criticism of the current state of clinical medicine, which suffers from economic inefficiency and low accuracy of pharmacotherapy. According to the FDA reference agency, up to 75% of patients do not respond to medications, which is very alarming and requires a change in the dominant paradigm in medicine. Next, we turn to the scientific and technological prerequisites of personalized healing, focusing on the achievements of molecular genetics and the value of genetic counseling. We also deal with issues of genome-wide sequencing and rapidly developing post-genomic methods. Taking into account international experience, we consider organizational and methodological difficulties, as well as ways to overcome them on the way to personalization of medicine. Key points of the article are illustrated by case reports from the clinical practice of the Endocrinology research centre (Moscow).

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16

Eastman, Peggy. "‘Personalized Medicine’." Oncology Times 27, no. 20 (2005): 18–19. http://dx.doi.org/10.1097/01.cot.0000290951.75653.ad.

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17

Sznajder, Jacob I., and Aaron Ciechanover. "Personalized Medicine." American Journal of Respiratory and Critical Care Medicine 186, no. 10 (2012): 945–47. http://dx.doi.org/10.1164/rccm.201210-1772oe.

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18

Thrall, James H. "Personalized Medicine." Radiology 231, no. 3 (2004): 613–16. http://dx.doi.org/10.1148/radiol.2313040323.

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19

Simone, Joseph V. "Personalized Medicine." Oncology Times 30, no. 9 (2008): 4. http://dx.doi.org/10.1097/01.cot.0000319869.33262.f0.

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20

Kornman, K. S., and G. W. Duff. "Personalized Medicine." Journal of Dental Research 91, no. 7_suppl (2012): S8—S11. http://dx.doi.org/10.1177/0022034512449171.

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Human differences in disease phenotype and treatment responses are well documented. Technological advances now allow healthcare providers to improve the prevention and treatment of chronic diseases by stratifying patient populations. Although personalized medicine has great promise, it has, so far, been primarily applied in oncology. Wider adoption requires changes in the healthcare system and in clinical decision-making, and early applications of personalized medicine appear to require strong clinical utility and sufficient value to drive adoption. Personalized medicine is likely to enter dentistry as patients start to demand it and as new drugs are developed for pathways common to oral diseases.

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21

Rowell, Laurie. "Personalized medicine." netWorker 13, no. 4 (2009): 26–30. http://dx.doi.org/10.1145/1655737.1655744.

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22

Norris, Patrick R., Jeffrey A. Canter, Judith M. Jenkins, Jason H. Moore, Anna E. Williams, and John A. Morris. "Personalized Medicine." Transactions of the ... Meeting of the American Surgical Association 127 (2009): 155–61. http://dx.doi.org/10.1097/sla.0b013e3181b8fb1f.

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23

MULLIN, RICK. "PERSONALIZED MEDICINE." Chemical & Engineering News 86, no. 6 (2008): 17–27. http://dx.doi.org/10.1021/cen-v086n006.p017.

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24

Raparelli, Valeria, Muhammad Ahmer Wali, and Louise Pilote. "Personalized Medicine." JACC: Heart Failure 7, no. 8 (2019): 732–33. http://dx.doi.org/10.1016/j.jchf.2019.03.010.

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25

Zarbin, Marco A. "Personalized Medicine." JAMA Ophthalmology 131, no. 7 (2013): 837. http://dx.doi.org/10.1001/jamaophthalmol.2013.5145.

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26

Wang, Xijun, Aihua Zhang, Hui Sun, and Ping Wang. "Systems Biology Technologies Enable Personalized Traditional Chinese Medicine: A Systematic Review." American Journal of Chinese Medicine 40, no. 06 (2012): 1109–22. http://dx.doi.org/10.1142/s0192415x12500826.

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Traditional Chinese medicine (TCM), an alternative medicine, focuses on the treatment of human disease via the integrity of the close relationship between body and syndrome analysis. It remains a form of primary care in most Asian countries and its characteristics showcase the great advantages of personalized medicine. Although this approach to disease diagnosis, prognosis and treatment has served the medical establishment well for thousands of years, it has serious shortcomings in the era of modern medicine that stem from its reliance on reductionist principles of experimentation and analysis. In this way, systems biology offers the potential to personalize medicine, facilitating the provision of the right care to the right patient at the right time. We expect that systems biology will have a major impact on future personalized therapeutic approaches which herald the future of medicine. Here we summarize current trends and critically review the potential limitations and future prospects of such treatments. Some characteristic examples are presented to highlight the application of this groundbreaking platform to personalized TCM as well as some of the necessary milestones for moving systems biology of a state-of-the-art nature into mainstream health care.

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27

Theodorescu, Dan. "IL10 Personalized Medicine and Drug Discovery in Urological Cancer." Japanese Journal of Urology 101, no. 2 (2010): 59. http://dx.doi.org/10.5980/jpnjurol.101.59.

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28

Blum, H. E. "Molecular medicine - Personalized medicine." DMW - Deutsche Medizinische Wochenschrift 130, no. 25/26 (2005): 1568–72. http://dx.doi.org/10.1055/s-2005-870867.

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29

Borges, Anita M., and Murali Varma. "Personalized histopathology reporting for personalized medicine." Diagnostic Histopathology 27, no. 7 (2021): 275–78. http://dx.doi.org/10.1016/j.mpdhp.2021.04.001.

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30

Cornetta, Kenneth, and Candy Gunther Brown. "Balancing Personalized Medicine and Personalized Care." Academic Medicine 88, no. 3 (2013): 309–13. http://dx.doi.org/10.1097/acm.0b013e3182806345.

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31

Li, Cheng. "Potentiation of Bio Repositories In Personalized Medicine: Tumor Cells Establishment." Cancer Research and Cellular Therapeutics 1, no. 1 (2017): 01–03. http://dx.doi.org/10.31579/2640-1053/003.

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The introduction of three-dimensional (3D) tumor cultures has revolutionized anticancer drug research as these cultures allow for the study of drug resistance mechanisms that cannot be explored in traditional two dimensional (2D) monolayer cultures. Discoveries in the 3D tumor culture field suggest that individualized drug sensitivity testing of solid tumor specimens through the establishment and use of 3D tumor cell cultures following tissue collection will become a routine service offered by modern tissue repositories as they expand from their traditional research role to active participation in personalized medicine. Unfortunately, most information related to 3D tumor cultures comes from studies using established tumor cell lines rather than primary tumor cultures. However, accumulation of genetic aberrations in cancer cell lines occurs with increasing number of passages severely limiting their usefulness for personalized medicine. There is only very limited information available concerning technologies and standard operating procedures for the efficient and routine isolation and processing of primary tumor cells for the establishment of 3D tumor cultures from solid tumor specimens. The purpose of this work was to review experimental data from the literature that may provide relevant information concerning the isolation and processing of primary tumor cells for the establishment of 3D tumor cultures. Information reviewed here may help bio repositories in the development and standardization of technologies and standard operating procedures related to the use of 3D tumor cultures.

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32

Rajkumar, T. "Personalized medicine: FAQs." Indian Journal of Medical and Paediatric Oncology 31, no. 2 (2010): 72. http://dx.doi.org/10.4103/0971-5851.71661.

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33

Jain, KK. "Personalized medicine conference." Personalized Medicine 2, no. 4 (2005): 287–90. http://dx.doi.org/10.2217/17410541.2.4.287.

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34

Weatherall, Sir David J. "Personalized medicine – pharmacogenetics." Personalized Medicine 3, no. 1 (2006): 9. http://dx.doi.org/10.2217/17410541.3.1.9.

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35

Armitage, James O., William C. Wood, and Dan L. Longo. "Real Personalized Medicine." Journal of the National Comprehensive Cancer Network 14, no. 2 (2016): 233–36. http://dx.doi.org/10.6004/jnccn.2016.0024.

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36

Tarring, Adam. "Personalized Medicine: Foreword." Personalized Medicine 15, no. 1 (2018): 1–3. http://dx.doi.org/10.2217/pme-2017-0089.

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37

Møldrup, Claus. "Beyond personalized medicine." Personalized Medicine 6, no. 3 (2009): 231–33. http://dx.doi.org/10.2217/pme.09.10.

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38

Knoppers, Bartha Maria, and Denise Avard. "‘Principled’ personalized medicine?" Personalized Medicine 6, no. 6 (2009): 663–67. http://dx.doi.org/10.2217/pme.09.21.

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39

Daali, Youssef. "Personalized Medicine: Pharmacokinetics." Journal of Personalized Medicine 12, no. 10 (2022): 1660. http://dx.doi.org/10.3390/jpm12101660.

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40

Biagioli, Mario, and Alain Pottage. "Patenting Personalized Medicine." Osiris 36 (June 1, 2021): 221–40. http://dx.doi.org/10.1086/713991.

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41

Fanos, Vassilios, and Murat Yurdakök. "Personalized Neonatal Medicine." Journal of Maternal-Fetal & Neonatal Medicine 23, sup3 (2010): 4–6. http://dx.doi.org/10.3109/14767058.2010.513103.

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42

Haselden, John N., and Andrew W. Nicholls. "Personalized medicine progresses." Nature Medicine 12, no. 5 (2006): 510–11. http://dx.doi.org/10.1038/nm0506-510.

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43

Horwitz, R. I., M. R. Cullen, J. Abell, and J. B. Christian. "(De)Personalized Medicine." Science 339, no. 6124 (2013): 1155–56. http://dx.doi.org/10.1126/science.1234106.

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44

Bruehl, Stephen. "Personalized Pain Medicine." Anesthesiology 122, no. 5 (2015): 967–68. http://dx.doi.org/10.1097/aln.0000000000000638.

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45

Akner, G., and Y. Gustafson. "Personalized geriatric medicine." European Geriatric Medicine 5, no. 3 (2014): 145–46. http://dx.doi.org/10.1016/j.eurger.2014.04.002.

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46

Marmé, Dieter, and Michael Hallek. "Personalized Cancer Medicine." Onkologie 35, s1 (2012): 2. http://dx.doi.org/10.1159/000335980.

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47

Haas, Michael J. "Personalized medicine triumvirate." Science-Business eXchange 5, no. 9 (2012): 220. http://dx.doi.org/10.1038/scibx.2012.220.

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48

Smith, Lauren B., Colin R. Cooke, and Edward B. Goldman. "Truly Personalized Medicine?" Hastings Center Report 44, no. 4 (2014): 11–12. http://dx.doi.org/10.1002/hast.325.

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49

Novelli, Giuseppe. "Personalized genomic medicine." Internal and Emergency Medicine 5, S1 (2010): 81–90. http://dx.doi.org/10.1007/s11739-010-0455-9.

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50

Artzi, Natalie. "Materializing Personalized Medicine." Advanced Materials 32, no. 13 (2020): 1908065. http://dx.doi.org/10.1002/adma.201908065.

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