Real-time, personalized medicine through wearable sensors and dynamic predictive modeling: A new paradigm for clinical medicine

Harrap, 2002, Genome-wide linkage analysis of the acute coronary syndrome suggests a locus on chromosome 2, Arterioscler Thromb Vasc Biol., 22, 874, 10.1161/01.ATV.0000016258.40568.F1 Ozaki, 2002, Functional SNPs in the lymphotoxin-alpha gene that are associated with susceptibility to myocardial infarction, Nat Genet, 32, 650, 10.1038/ng1047 Yamada, 2002, Prediction of the risk of myocardial infarction from polymorphisms in candidate genes, N Engl J Med, 347, 1916, 10.1056/NEJMoa021445 Bown, 2004, Cytokines, their genetic polymorphisms, and outcome after abdominal aortic aneurysm repair, Eur J Vasc Endovasc Surg, 28, 274, 10.1016/j.ejvs.2004.05.008 Hakonarson, 2005, Effects of a 5-lipoxygenase-activating protein inhibitor on biomarkers associated with risk of myocardial infarction: a randomized trial, J Am Med Assoc, 293, 2245, 10.1001/jama.293.18.2245 Cohen, 2006, Sequence variations in PCSK9, low LDL, and protection against coronary heart disease, N Engl J Med, 354, 1264, 10.1056/NEJMoa054013 Liu, 2012, Identifying critical transitions and their leading biomolecular networks in complex diseases, Sci Rep, 2, 813, 10.1038/srep00813 Chen, 2012, Detecting early-warning signals for sudden deterioration of complex diseases by dynamical network biomarkers, Sci Rep, 2, 342, 10.1038/srep00342 Ziegler, 2012, Personalized medicine using DNA biomarkers: a review, Hum Genet, 131, 1627, 10.1007/s00439-012-1188-9 Liu, 2014, Early diagnosis of complex diseases by molecular biomarkers, network biomarkers, and dynamical network biomarkers, Med Res Rev, 34, 455, 10.1002/med.21293 Looker, 2015, SUMMIT Investigators, Protein biomarkers for the prediction of cardiovascular disease in type 2 diabetes, Diabetologia, 58, 1363, 10.1007/s00125-015-3535-6 Soe, 2018, Identifying protein biomarkers in predicting disease severity of dengue virus infection using immune-related protein microarray, Medicine, 97, 10.1097/MD.0000000000009713 Yao, 2018, Identification of blood biomarkers for alzheimer's disease through computational prediction and experimental validation, Front Neurol, 9, 1158, 10.3389/fneur.2018.01158 Liu, 2019, Detection for disease tipping points by landscape dynamic network biomarkers, Natl Sci Rev, 6, 775, 10.1093/nsr/nwy162 Liu, 2019, Identifying critical state of complex diseases by single-sample-based hidden Markov model, Front Genet, 10, 285, 10.3389/fgene.2019.00285 Younes, 2019, Identifying changepoints in biomarkers during the preclinical phase of alzheimer's disease, Front Aging Neurosci, 11, 74, 10.3389/fnagi.2019.00074 Ong, 2020, Usefulness of certain protein biomarkers for prediction of coronary heart disease, Am J Cardiol, 125, 542, 10.1016/j.amjcard.2019.11.016 Sun, 2020, Identifying critical states of hepatocellular carcinoma based on landscape dynamic network biomarkers, Comput Biol Chem, 85, 107202, 10.1016/j.compbiolchem.2020.107202 Wilson, 2009, Systematic review: family history in risk assessment for common diseases, Ann Intern Med, 151, 878, 10.7326/0000605-200912150-00177 Brentnall, 2018, Long-term accuracy of breast cancer risk assessment combining classic risk factors and breast density, JAMA Oncol, 4, 10.1001/jamaoncol.2018.0174 Li, 2019, Using machine learning and the electronic health record to predict complicated Clostridium difficile infection, Open Forum Infect Dis, 6, ofz186, 10.1093/ofid/ofz186 Mars, 2020, Polygenic and clinical risk scores and their impact on age at onset and prediction of cardiometabolic diseases and common cancers, Nat Med, 26, 549, 10.1038/s41591-020-0800-0 Yang, 2010, A review of accelerometry-based wearable motion detectors for physical activity monitoring, Sensors, 10, 7772, 10.3390/s100807772 Rhee, 2015, Evaluating the validity of an automated device for asthma monitoring for adolescents: correlational design, J Med Internet Res, 17, e234, 10.2196/jmir.4975 Li, 2017, Digital health: tracking physiomes and activity using wearable biosensors reveals useful health-related information, PLoS Biol, 15, 10.1371/journal.pbio.2001402 Ohri, 2017, Continuous activity monitoring during concurrent chemoradiotherapy, Int J Radiat Oncol Biol Phys, 97, 1061, 10.1016/j.ijrobp.2016.12.030 Guk, 2019, Evolution of wearable devices with real-time disease monitoring for personalized healthcare, Nanomaterials (Basel), 9, 10.3390/nano9060813 He, 2019, Computational analysis of continuous body temperature provides early discrimination of graft-versus-host disease in mice, Blood Adv, 3, 3977, 10.1182/bloodadvances.2019000613 Pavic, 2019, Mobile health technologies for continuous monitoring of cancer patients in palliative care aiming to predict health status deterioration: a feasibility study, J Palliat Med Schüssler-Fiorenza Rose, 2019, A longitudinal big data approach for precision health, Nat Med, 25, 792, 10.1038/s41591-019-0414-6 Zahiri, 2019, Using wearables to screen motor performance deterioration because of cancer and chemotherapy-induced peripheral neuropathy (CIPN) in adults - toward an early diagnosis of CIPN, J. Geriatr. Oncol., 10, 960, 10.1016/j.jgo.2019.01.010 Radin, 2020, Harnessing wearable device data to improve state-level real-time surveillance of influenza-like illness in the USA: a population-based study, The Lancet Digital Health, 2, e85, 10.1016/S2589-7500(19)30222-5 Knowler, 2002, Diabetes Prevention Program Research Group, Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin, N Engl J Med, 346, 393, 10.1056/NEJMoa012512 Tabák, 2012, Prediabetes: a high-risk state for diabetes development, Lancet, 379, 2279, 10.1016/S0140-6736(12)60283-9 Guzick, 1978, Efficacy of screening for cervical cancer: a review, Am. J. Public Health., 68, 125, 10.2105/AJPH.68.2.125 Strogatz, 2018 Scheffer, 2009, Early-warning signals for critical transitions, Nature, 461, 53, 10.1038/nature08227 Cox, 2018, Use of wearable, mobile, and sensor technology in cancer clinical trials, JCO Clin Cancer Inform, 2, 1, 10.1200/CCI.17.00147 Piwek, 2016, The rise of consumer health wearables: promises and barriers, PLoS Med, 13, 10.1371/journal.pmed.1001953 Fisch, 2016, Using technology to improve cancer care: social media, wearables, and electronic health records, Am Soc Clin Oncol Educ Book, 35, 200, 10.1200/EDBK_156682 Tabbara, 2002, Allogeneic hematopoietic stem cell transplantation: complications and results, Arch Intern Med, 162, 1558, 10.1001/archinte.162.14.1558 Gyurkocza, 2010, Allogeneic hematopoietic cell transplantation: the state of the art, Expert Rev. Hematol., 3, 285, 10.1586/ehm.10.21 Ferrara, 1991, Graft-versus-host disease, N Engl J Med, 324, 667, 10.1056/NEJM199103073241005 He, 2018, Biomarkers in graft-versus-host disease: from prediction and diagnosis to insights into complex graft/host interactions, Curr. Hematol. Malig. Rep., 13, 44, 10.1007/s11899-018-0433-2 Zhao, 2019, Seeking biomarkers for acute graft-versus-host disease: where we are and where we are heading?, Biomark Res, 7, 17, 10.1186/s40364-019-0167-x Sprinthall, 1990 Liu, 2016, Personalized characterization of diseases using sample-specific networks, Nucleic Acids Res, 44, e164, 10.1093/nar/gkw772