Dudley, Joel T.

Deep learning for healthcare: review, opportunities and challenges

Miotto, R., Wang, F., Wang, S., Jiang, X., & Dudley, J. T. (2018) · Briefings in Bioinformatics

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 3,076

Deep patient: An unsupervised representation to predict the future of patients from the electronic health records

Miotto, R., Li, L., Kidd, B. A., & Dudley, J. T. (2016) · Scientific Reports

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 1,710

Personal omics profiling reveals dynamic molecular and medical phenotypes

Chen, R., Mias, G. I., Li-Pook-Than, J., Jiang, L., Lam, H. Y. K., Chen, R., Miriami, E., Karczewski, K. J., Hariharan, M., Dewey, F. E., et al. (2012) · Cell

Bioinformatics and Genomic NetworksHealth, Environment, Cognitive Aging

Cited by 1,291

TimeTree: A public knowledge-base of divergence times among organisms

Hedges, S. B., Dudley, J., & Kumar, S. (2006) · Bioinformatics

Genomics and Phylogenetic StudiesEvolution and Paleontology Studies

Cited by 1,234

Artificial intelligence in cardiology

Johnson, K. W., Torres Soto, J., Glicksberg, B. S., Shameer, K., Miotto, R., Ali, M., Ashley, E., & Dudley, J. T. (2018) · Journal of the American College of Cardiology

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 1,202

Gene expression elucidates functional impact of polygenic risk for schizophrenia

Fromer, M., Roussos, P., Sieberts, S. K., Johnson, J. S., Kavanagh, D. H., Perumal, T. M., Ruderfer, D. M., Oh, E. C., Topol, A., Shah, H. R., et al. (2016) · Nature Neuroscience

Schizophrenia research and treatmentGenetic Associations and Epidemiology

Cited by 1,091

Multiscale Analysis of Independent Alzheimer’s Cohorts Finds Disruption of Molecular, Genetic, and Clinical Networks by Human Herpesvirus

Readhead, B., Haure-Mirande, J.-V., Funk, C. C., Richards, M. A., Shannon, P., Haroutunian, V., Sano, M., Liang, W. S., Beckmann, N. D., Price, N. D., et al. (2018) · Neuron

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 708

Clinical assessment incorporating a personal genome

Ashley, E. A., Butte, A. J., Wheeler, M. T., Chen, R., Klein, T. E., Dewey, F. E., Dudley, J. T., Ormond, K. E., Pavlovic, A., Morgan, A. A., et al. (2010) · The Lancet

Genomics and Rare DiseasesGenetic Associations and Epidemiology

Cited by 674

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review

Sheikhalishahi, S., Miotto, R., Dudley, J. T., Lavelli, A., Rinaldi, F., & Osmani, V. (2019) · JMIR Medical Informatics

Biomedical Text Mining and OntologiesMachine Learning in Healthcare

Cited by 558

Machine learning in cardiovascular medicine: are we there yet?

Shameer, K., Johnson, K. W., Glicksberg, B. S., Dudley, J. T., & Sengupta, P. P. (2018) · Heart

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 555

Necroptosis activation in Alzheimer's disease

Caccamo, A., Branca, C., Piras, I. S., Ferreira, E., Huentelman, M. J., Liang, W. S., Readhead, B., Dudley, J. T., Spangenberg, E. E., Green, K. N., et al. (2017) · Nature Neuroscience

Alzheimer's disease research and treatmentsCell death mechanisms and regulation

Cited by 482

Viral Dynamics of SARS-CoV-2 Variants in Vaccinated and Unvaccinated Persons

Kissler, S. M., Fauver, J. R., Mack, C., Tai, C. G., Breban, M. I., Watkins, A. E., Samant, R. M., Anderson, D. J., Metti, J., Khullar, G., et al. (2021) · New England Journal of Medicine

SARS-CoV-2 and COVID-19 ResearchCOVID-19 Clinical Research Studies

Cited by 335

Deep learning predicts hip fracture using confounding patient and healthcare variables

Badgeley, M. A., Zech, J. R., Oakden-Rayner, L., Glicksberg, B. S., Liu, M., Gale, W., McConnell, M. V., Percha, B., Snyder, T. M., & Dudley, J. T. (2019) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationHip and Femur Fractures

Cited by 290

Early life stress alters transcriptomic patterning across reward circuitry in male and female mice

Peña, C. J., Smith, M., Ramakrishnan, A., Cates, H. M., Bagot, R. C., Kronman, H. G., Patel, B., Chang, A. B., Purushothaman, I., Dudley, J., et al. (2019) · Nature Communications

Stress Responses and CortisolChild Abuse and Trauma

Cited by 219

Deep representation learning of electronic health records to unlock patient stratification at scale

Landi, I., Glicksberg, B. S., Lee, H.-C., Cherng, S., Landi, G., Danieletto, M., Dudley, J. T., Furlanello, C., & Miotto, R. (2020) · npj Digital Medicine

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 213

The Asthma Mobile Health Study, a large-scale clinical observational study using ResearchKit

Chan, Y.-F. Y., Wang, P., Rogers, L., Tignor, N., Zweig, M., Hershman, S. G., Genes, N., Scott, E. R., Krock, E., Badgeley, M., et al. (2017) · Nature Biotechnology

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 204

Translational bioinformatics in the era of real-time biomedical, health care and wellness data streams

Shameer, K., Badgeley, M. A., Miotto, R., Glicksberg, B. S., Morgan, J. W., & Dudley, J. T. (2017) · Briefings in Bioinformatics

Electronic Health Records SystemsHealthcare Technology and Patient Monitoring

Cited by 198

Deficiency of TYROBP, an adapter protein for TREM2 and CR3 receptors, is neuroprotective in a mouse model of early Alzheimer’s pathology

Haure-Mirande, J.-V., Audrain, M., Fanutza, T., Kim, S. H., Klein, W. L., Glabe, C., Readhead, B., Dudley, J. T., Blitzer, R. D., Wang, M., et al. (2017) · Acta Neuropathologica

Neuroinflammation and Neurodegeneration MechanismsAlzheimer's disease research and treatments

Cited by 127

Dysregulation of miRNA-9 in a Subset of Schizophrenia Patient-Derived Neural Progenitor Cells

Topol, A., Zhu, S., Hartley, B. J., English, J., Hauberg, M. E., Tran, N., Rittenhouse, C. A., Simone, A., Ruderfer, D. M., Johnson, J., et al. (2016) · Cell Reports

MicroRNA in disease regulationSchizophrenia research and treatment

Cited by 122

Integrative approach to sporadic Alzheimer’s disease: deficiency of TYROBP in cerebral Aβ amyloidosis mouse normalizes clinical phenotype and complement subnetwork molecular pathology without reducing Aβ burden

Haure-Mirande, J.-V., Wang, M., Audrain, M., Fanutza, T., Kim, S. H., Heja, S., Readhead, B., Dudley, J. T., Blitzer, R. D., Schadt, E. E., et al. (2019) · Molecular Psychiatry

Alzheimer's disease research and treatmentsNeuroinflammation and Neurodegeneration Mechanisms

Cited by 84

Enabling Precision Cardiology Through Multiscale Biology and Systems Medicine

Johnson, K. W., Shameer, K., Glicksberg, B. S., Readhead, B., Sengupta, P. P., Björkegren, J. L. M., Kovacic, J. C., & Dudley, J. T. (2017) · JACC: Basic to Translational Science

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 83

Association of Hemoglobin A 1c Levels With Use of Sulfonylureas, Dipeptidyl Peptidase 4 Inhibitors, and Thiazolidinediones in Patients With Type 2 Diabetes Treated With Metformin: Analysis From the Observational Health Data Sciences and Informatics Initiative

Vashisht, R., Jung, K., Schuler, A., Banda, J. M., Park, R. W., Jin, S., Li, L., Dudley, J. T., Johnson, K. W., Shervey, M. M., et al. (2018) · JAMA Network Open

Diabetes Treatment and ManagementDiabetes Management and Research

Cited by 61

Longitudinal Autonomic Nervous System Measures Correlate With Stress and Ulcerative Colitis Disease Activity and Predict Flare

Hirten, R. P., Danieletto, M., Scheel, R., Shervey, M., Ji, J., Hu, L., Sauk, J., Chang, L., Arnrich, B., Bӧttinger, E., et al. (2021) · Inflammatory Bowel Diseases

Inflammatory Bowel DiseaseHeart Rate Variability and Autonomic Control

Cited by 60

Deep Learning to Predict Patient Future Diseases from the Electronic Health Records

Miotto, R., Li, L., & Dudley, J. T. (2016) · Lecture Notes in Computer Science

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 59