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Papers on “personalized precision medicine genomics”

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  1. Precision and Personalized Medicine: How Genomic Approach Improves the Management of Cardiovascular and Neurodegenerative Disease

    Oriana Strianese, Francesca Maria Rizzo, Michele Ciccarelli, et al. · 2020 · Genes · 243 cites

    Life expectancy has gradually grown over the last century. This has deeply affected healthcare costs, since the growth of an aging population is correlated to the increasing burden of chronic diseases. This represents the interesting challenge of how to manage patients with chronic diseases in order to improve health care budgets. Effective primary prevention could represent a promising route. To this end, precision, together with personalized medicine, are useful instruments in order to investigate pathological processes before the appearance of clinical symptoms and to guide physicians to choose a targeted therapy to manage the patient. Cardiovascular and neurodegenerative diseases represe

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  2. From “Personalized” to “Precision” Medicine: The Ethical and Social Implications of Rhetorical Reform in Genomic Medicine

    Eric T. Juengst, Michelle L. McGowan, Jennifer R. Fishman, et al. · 2016 · The Hastings Center Report · 209 cites

    Since the late 1980s, the human genetics and genomics research community has been promising to usher in a "new paradigm for health care"-one that uses molecular profiling to identify human genetic variants implicated in multifactorial health risks. After the completion of the Human Genome Project in 2003, a wide range of stakeholders became committed to this "paradigm shift," creating a confluence of investment, advocacy, and enthusiasm that bears all the marks of a "scientific/intellectual social movement" within biomedicine. Proponents of this movement usually offer four ways in which their approach to medical diagnosis and health care improves upon current practices, arguing that it is mo

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  3. The Penn Medicine BioBank: Towards a Genomics-Enabled Learning Healthcare System to Accelerate Precision Medicine in a Diverse Population

    A. Verma, S. Damrauer, Nawar Naseer, et al. · 2022 · Journal of Personalized Medicine · 137 cites

    The Penn Medicine BioBank (PMBB) is an electronic health record (EHR)-linked biobank at the University of Pennsylvania (Penn Medicine). A large variety of health-related information, ranging from diagnosis codes to laboratory measurements, imaging data and lifestyle information, is integrated with genomic and biomarker data in the PMBB to facilitate discoveries and translational science. To date, 174,712 participants have been enrolled into the PMBB, including approximately 30% of participants of non-European ancestry, making it one of the most diverse medical biobanks. There is a median of seven years of longitudinal data in the EHR available on participants, who also consent to permission

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  4. Genomic Medicine, Precision Medicine, Personalized Medicine: What’s in a Name?

    Dan M. Roden, Rachel Fynvola Tyndale · 2013 · Clinical Pharmacology & Therapeutics · 72 cites

    This issue of Clinical Pharmacology & Therapeutics is devoted to genomic medicine, and a reader may reasonably ask what we mean when we use those words. In the initial issue of the journal Genomics in 1987, McKusick and Ruddle pointed out that the descriptor "genome" had been coined in 1920 as a hybrid of "gene" and "chromosome," and that their new journal would focus on the "newly-developing discipline of mapping/sequencing (including analysis of the information)." A key milestone in the field was the generation of the first draft of a human genome in 2000, but this success really represents only one of many milestones in the journey from Mendel to MiSeq.

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  7. Personalized anesthesia and precision medicine: a comprehensive review of genetic factors, artificial intelligence, and patient-specific factors

    Shiyue Zeng, Qi Qing, Wei Xu, et al. · 2024 · Frontiers in Medicine · 44 cites

    Precision medicine, characterized by the personalized integration of a patient’s genetic blueprint and clinical history, represents a dynamic paradigm in healthcare evolution. The emerging field of personalized anesthesia is at the intersection of genetics and anesthesiology, where anesthetic care will be tailored to an individual’s genetic make-up, comorbidities and patient-specific factors. Genomics and biomarkers can provide more accurate anesthetic protocols, while artificial intelligence can simplify anesthetic procedures and reduce anesthetic risks, and real-time monitoring tools can improve perioperative safety and efficacy. The aim of this paper is to present and summarize the applic

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  8. Unsupervised Learning in Precision Medicine: Unlocking Personalized Healthcare through AI

    A. Trezza, Anna Visibelli, B. Roncaglia, et al. · 2024 · Applied Sciences · 40 cites

    Integrating Artificial Intelligence (AI) into Precision Medicine (PM) is redefining healthcare, enabling personalized treatments tailored to individual patients based on their genetic code, environment, and lifestyle. AI’s ability to analyze vast and complex datasets, including genomics and medical records, facilitates the identification of hidden patterns and correlations, which are critical for developing personalized treatment plans. Unsupervised Learning (UL) is particularly valuable in PM as it can analyze unstructured and unlabeled data to uncover novel disease subtypes, biomarkers, and patient stratifications. By revealing patterns that are not explicitly labeled, unsupervised algorit

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