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Journal articles on the topic 'Personalized medicin'

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1

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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3

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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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 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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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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7

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

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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11

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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12

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
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13

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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14

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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15

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

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16

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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17

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 den
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18

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

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19

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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20

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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21

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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22

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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23

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
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24

Martaadisoebrata, Djamhoer. "Personalized Medicine dalam Pelayanan Kesehatan Reproduksi." Indonesian Journal of Obstetrics & Gynecology Science 2, no. 1 (2019): 1. http://dx.doi.org/10.24198/obgynia.v2i1.108.

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AbstrakTujuan: Untuk mencoba mencari kejelasan kelemahan dan keunggulan berbagai paradigma dan mencoba membuktikan bahwa Personalized Medicine itu adalah paradigma yang terbaik, sampai saat ini.Metode: Studi PustakaHasil: Dengan seiring waktu Clinical Medicine juga mendapatkan tambahan pengembangan dari Evidence Based Medicine dan Genome Medicine. Personalized Medicine lebih mengembangkan ilmu kedokteran sesuai dengan individu masing-masing sehingga menjadi lebih baik.Kesimpulan: Walaupun terbukti bahwa Clinical Medicine, Evidence Based Medicine dan Genome Medicine mempunyai kelemahan di sampi
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25

Sharma, Himanshu, Urmi Bhadouria, Teenu Sharma, Arindam Chatterjee, and Parveen Kumar. "An Updated Overview on Personalized Medicine: The Next-Gen Paradigm." INTERNATIONAL JOURNAL OF PHARMACEUTICAL QUALITY ASSURANCE 14, no. 02 (2023): 457–63. http://dx.doi.org/10.25258/ijpqa.14.2.34.

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Personalized medicine is a translational approach that utilizes an individual’s genetic profile to guide illness prevention, diagnosis, and treatment choices. The human genome project data is being used to enhance personalized treatment. “Personalised” medicine is beneficial over “individualized” medicine as it suggests that future hazards may be predicted based on the individual’s genes. The advancement of technology for personalized medicine depends heavily on standardization, integration, and harmonization. The scientific practices at various research sites, the connection between science a
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26

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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27

Popović, Mitar, and Marina Jakšić. "Personalized medicine and pharmacogenomics." PONS - medicinski casopis 21, no. 2 (2024): 60–68. https://doi.org/10.5937/pomc21-51232.

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Personalized medicine refers to any clinical approach that emphasizes the systematic use of preventive, diagnostic, and therapeutic interventions based on genomic and family history data to enhance health outcomes. In this sense, personalized treatment is frequently referred to as genomic medicine. Personalized medicine has several health strategies that rely on the identification of molecular-genetic markers, including molecular diagnosis, prognosis, and disease monitoring; predictive genetics and preventive medicine; pharmacogenomics; targeted molecular therapy, and gene-based therapy. This
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28

James Tabat Bature, Michael Alurame Eruaga, and Esther Oleiye Itua. "Integrating pharmacogenomic testing into personalized medicine practices in the USA: Implications for medication quality control and therapeutic efficacy." GSC Biological and Pharmaceutical Sciences 26, no. 3 (2024): 019–26. http://dx.doi.org/10.30574/gscbps.2024.26.3.0081.

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This concept paper explores the integration of pharmacogenomic testing into personalized medicine practices in the USA and its implications for medication quality control and therapeutic efficacy. By leveraging genetic information to optimize medication selection and dosing, this paper aims to improve patient outcomes and minimize adverse drug reactions, thereby enhancing medication safety and efficacy in clinical practice. Integrating pharmacogenomic testing into personalized medicine practices has the potential to revolutionize healthcare by improving medication quality control and therapeut
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29

James, Tabat Bature, Alurame Eruaga Michael, and Oleiye Itua Esther. "Integrating pharmacogenomic testing into personalized medicine practices in the USA: Implications for medication quality control and therapeutic efficacy." GSC Biological and Pharmaceutical Sciences 26, no. 3 (2024): 019–26. https://doi.org/10.5281/zenodo.11044371.

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This concept paper explores the integration of pharmacogenomic testing into personalized medicine practices in the USA and its implications for medication quality control and therapeutic efficacy. By leveraging genetic information to optimize medication selection and dosing, this paper aims to improve patient outcomes and minimize adverse drug reactions, thereby enhancing medication safety and efficacy in clinical practice. Integrating pharmacogenomic testing into personalized medicine practices has the potential to revolutionize healthcare by improving medication quality control and therapeut
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30

Romero-Garmendia, Irati, and Koldo Garcia-Etxebarria. "From Omic Layers to Personalized Medicine in Colorectal Cancer: The Road Ahead." Genes 14, no. 7 (2023): 1430. http://dx.doi.org/10.3390/genes14071430.

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Colorectal cancer is a major health concern since it is a highly diagnosed cancer and the second cause of death among cancers. Thus, the most suitable biomarkers for its diagnosis, prognosis, and treatment have been studied to improve and personalize the prevention and clinical management of colorectal cancer. The emergence of omic techniques has provided a great opportunity to better study CRC and make personalized medicine feasible. In this review, we will try to summarize how the analysis of the omic layers can be useful for personalized medicine and the existing difficulties. We will discu
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31

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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32

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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33

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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34

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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35

Nassimbwa, Kabanda D. "The Role of Biomarkers in Personalized Cancer Treatment." RESEARCH INVENTION JOURNAL OF PUBLIC HEALTH AND PHARMACY 3, no. 2 (2024): 3–33. http://dx.doi.org/10.59298/rijpp/2024/323033.

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Biomarkers are vital instruments in modern medicine, providing information about biological processes and disease progression. Biomarkers in oncology have had a substantial impact on the development of personalised cancer treatments by predicting therapy responses and outcomes. The study investigates the different types of biomarkers, such as diagnostic, prognostic, and predictive biomarkers, and their function in precision medicine. Personalised cancer treatment, which is guided by biomarker testing, improves patient outcomes by adapting medicines to individual genetic profiles. However, obst
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36

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 effi
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37

Mangampadath, Abhilash. "Integrating the concepts of Prakriti and Personalised Medicine in the practice of Ayurvedic immunology." Journal of Ayurveda and Holistic Medicine (JAHM) 13, no. 6 (2025): 130–37. https://doi.org/10.70066/jahm.v13i6.1822.

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Introduction: Prakriti is the cornerstone of Ayurveda, on which the entire principles and practices are built upon. The concept of Prakriti is comparable with that of personalised medicine which has been evolved separately and practiced worldwide. Ayurveda can be updated and matched with the current standards of personalized medicine by following prakriti based management protocols. Being the topic currently in limelight, immunology can be the best option to explore these possibilities. Methods: The pathophysiology and management of immunological disorders and infections are viewed from the an
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38

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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39

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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40

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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41

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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42

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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43

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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44

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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45

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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46

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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47

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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48

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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49

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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50

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

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