Ashley, Euan A.

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

Guidelines for investigating causality of sequence variants in human disease

MacArthur, D. G., Manolio, T. A., Dimmock, D. P., Rehm, H. L., Shendure, J., Abecasis, G. R., Adams, D. R., Altman, R. B., Antonarakis, S. E., Ashley, E. A., et al. (2014) · Nature

Genomics and Rare DiseasesGenetic Associations and Epidemiology

Cited by 1,224

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

Video-based AI for beat-to-beat assessment of cardiac function

Ouyang, D., He, B., Ghorbani, A., Yuan, N., Ebinger, J., Langlotz, C. P., Heidenreich, P. A., Harrington, R. A., Liang, D. H., Ashley, E. A., et al. (2020) · Nature

Cardiovascular Function and Risk FactorsArtificial Intelligence in Healthcare and Education

Cited by 1,153

Towards precision medicine

Ashley, E. A. (2016) · Nature Reviews Genetics

Genomics and Rare DiseasesGenomics and Phylogenetic Studies

Cited by 1,116

Patient-specific induced pluripotent stem cells as a model for familial dilated cardiomyopathy

Sun, N., Yazawa, M., Liu, J., Han, L., Sanchez-Freire, V., Abilez, O. J., Navarrete, E. G., Hu, S., Wang, L., Lee, A., et al. (2012) · Science Translational Medicine

Pluripotent Stem Cells ResearchCardiomyopathy and Myosin Studies

Cited by 696

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

Abnormal calcium handling properties underlie familial hypertrophic cardiomyopathy pathology in patient-specific induced pluripotent stem cells

Lan, F., Lee, A. S., Liang, P., Sanchez-Freire, V., Nguyen, P. K., Wang, L., Han, L., Yen, M., Wang, Y., Sun, N., et al. (2013) · Cell Stem Cell

Cardiomyopathy and Myosin StudiesCardiac electrophysiology and arrhythmias

Cited by 667

Accuracy in Wrist-Worn, Sensor-Based Measurements of Heart Rate and Energy Expenditure in a Diverse Cohort

Shcherbina, A., Mattsson, C., Waggott, D., Salisbury, H., Christle, J., Hastie, T., Wheeler, M., & Ashley, E. (2017) · Journal of Personalized Medicine

Non-Invasive Vital Sign MonitoringContext-Aware Activity Recognition Systems

Cited by 625

Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments

Van Valen, D. A., Kudo, T., Lane, K. M., Macklin, D. N., Quach, N. T., DeFelice, M. M., Maayan, I., Tanouchi, Y., Ashley, E. A., & Covert, M. W. (2016) · PLoS Computational Biology

Cell Image Analysis TechniquesAdvanced Neural Network Applications

Cited by 557

Deep learning interpretation of echocardiograms

Ghorbani, A., Ouyang, D., Abid, A., He, B., Chen, J. H., Harrington, R. A., Liang, D. H., Ashley, E. A., & Zou, J. Y. (2020) · npj Digital Medicine

Artificial Intelligence in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 518

Molecular Choreography of Acute Exercise

Contrepois, K., Wu, S., Moneghetti, K. J., Hornburg, D., Ahadi, S., Tsai, M.-S., Metwally, A. A., Wei, E., Lee-McMullen, B., Quijada, J. V., et al. (2020) · Cell

Exercise and Physiological ResponsesCardiovascular and exercise physiology

Cited by 502

Almanac — Retrieval-Augmented Language Models for Clinical Medicine

Zakka, C., Shad, R., Chaurasia, A., Dalal, A. R., Kim, J. L., Moor, M., Fong, R., Phillips, C., Alexander, K., Ashley, E., et al. (2024) · NEJM AI

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 424

Effect of Genetic Diagnosis on Patients with Previously Undiagnosed Disease

Splinter, K., Adams, D. R., Bacino, C. A., Bellen, H. J., Bernstein, J. A., Cheatle-Jarvela, A. M., Eng, C. M., Esteves, C., Gahl, W. A., Hamid, R., et al. (2018) · New England Journal of Medicine

Genomics and Rare DiseasesMetabolism and Genetic Disorders

Cited by 359

Identification of rare-disease genes using blood transcriptome sequencing and large control cohorts

Undiagnosed Diseases Network, Frésard, L., Care4Rare Canada Consortium, Smail, C., Ferraro, N. M., Teran, N. A., Li, X., Smith, K. S., Bonner, D., Kernohan, K. D., et al. (2019) · Nature Medicine

Genomics and Rare DiseasesGenomics and Phylogenetic Studies

Cited by 321

Feasibility of Obtaining Measures of Lifestyle From a Smartphone App: The MyHeart Counts Cardiovascular Health Study

McConnell, M. V., Shcherbina, A., Pavlovic, A., Homburger, J. R., Goldfeder, R. L., Waggot, D., Cho, M. K., Rosenberger, M. E., Haskell, W. L., Myers, J., et al. (2017) · JAMA Cardiology

Mobile Health and mHealth ApplicationsPhysical Activity and Health

Cited by 239

Rare variant associations with plasma protein levels in the UK Biobank

Dhindsa, R. S., Burren, O. S., Sun, B. B., Prins, B. P., Matelska, D., Wheeler, E., Mitchell, J., Oerton, E., Hristova, V. A., Smith, K. R., et al. (2023) · Nature

Genetic Associations and EpidemiologyGenomics and Rare Diseases

Cited by 193

Cardiovascular disease: The rise of the genetic risk score

Knowles, J. W., & Ashley, E. A. (2018) · PLOS Medicine

Genetic Associations and EpidemiologyCardiovascular Health and Risk Factors

Cited by 182

Variant Interpretation for Dilated Cardiomyopathy: Refinement of the American College of Medical Genetics and Genomics/ClinGen Guidelines for the DCM Precision Medicine Study

Morales, A., Kinnamon, D. D., Jordan, E., Platt, J., Vatta, M., Dorschner, M. O., Starkey, C. A., Mead, J. O., Ai, T., Burke, W., et al. (2020) · Circulation: Genomic and Precision Medicine

Genomics and Rare DiseasesCardiomyopathy and Myosin Studies

Cited by 114

The Undiagnosed Diseases Network of the National Institutes of Health: A National Extension

Gahl, W. A., Wise, A. L., & Ashley, E. A. (2015) · JAMA

Genomics and Rare DiseasesConnective tissue disorders research

Cited by 114

Telomere shortening is a hallmark of genetic cardiomyopathies

Chang, A. C. Y., Chang, A. C. H., Kirillova, A., Sasagawa, K., Su, W., Weber, G., Lin, J., Termglinchan, V., Karakikes, I., Seeger, T., et al. (2018) · Proceedings of the National Academy of Sciences

Telomeres, Telomerase, and SenescenceCardiomyopathy and Myosin Studies

Cited by 91

The effect of digital physical activity interventions on daily step count: A randomised controlled crossover substudy of the MyHeart Counts Cardiovascular Health Study

Shcherbina, A., Hershman, S. G., Lazzeroni, L., King, A. C., O'Sullivan, J. W., Hekler, E., Moayedi, Y., Pavlovic, A., Waggott, D., Sharma, A., et al. (2019) · The Lancet Digital Health

Mobile Health and mHealth ApplicationsPhysical Activity and Health

Cited by 90

Magnetic resonance imaging of progressive cardiomyopathic changes in the db/db mouse

Yue, P., Arai, T., Terashima, M., Sheikh, A. Y., Cao, F., Charo, D., Hoyt, G., Robbins, R. C., Ashley, E. A., Wu, J., et al. (2007) · American Journal of Physiology-Heart and Circulatory Physiology

Cardiovascular Function and Risk FactorsCardiomyopathy and Myosin Studies

Cited by 81

An Empirical Investigation of the Anxiolytic and Pain Reducing Effects of Music

Macdonald, R. A. R., Mitchell, L. A., Dillon, T., Serpell, M. G., Davies, J. B., & Ashley, E. A. (2003) · Psychology of Music

Music Therapy and HealthNeuroscience and Music Perception

Cited by 77