Ellinor, Patrick T.

Wearable accelerometer-derived physical activity and incident disease

Khurshid, S., Weng, L.-C., Nauffal, V., Pirruccello, J. P., Venn, R. A., Al-Alusi, M. A., Benjamin, E. J., Ellinor, P. T., & Lubitz, S. A. (2022) · npj Digital Medicine

Physical Activity and HealthContext-Aware Activity Recognition Systems

Cited by 63

Genetic analyses of the electrocardiographic QT interval and its components identify additional loci and pathways

Young, W. J., Lahrouchi, N., Isaacs, A., Duong, T., Foco, L., Ahmed, F., Brody, J. A., Salman, R., Noordam, R., Benjamins, J.-W., et al. (2022) · Nature Communications

Cardiac electrophysiology and arrhythmiasGenetic Associations and Epidemiology

Cited by 49

Natural Language Processing for Adjudication of Heart Failure in a Multicenter Clinical Trial: A Secondary Analysis of a Randomized Clinical Trial

Cunningham, J. W., Singh, P., Reeder, C., Claggett, B., Marti-Castellote, P. M., Lau, E. S., Khurshid, S., Batra, P., Lubitz, S. A., Maddah, M., et al. (2024) · JAMA Cardiology

Artificial Intelligence in HealthcareHeart Failure Treatment and Management

Cited by 38

Whole-genome association analyses of sleep-disordered breathing phenotypes in the NHLBI TOPMed program

Cade, B. E., Lee, J., Sofer, T., Wang, H., Zhang, M., Chen, H., Gharib, S. A., Gottlieb, D. J., Guo, X., Lane, J. M., et al. (2021) · Genome Medicine

Obstructive Sleep Apnea ResearchGenetic Associations and Epidemiology

Cited by 33

Rare Genetic Variants in LDLR , APOB , and PCSK9 Are Associated With Aortic Stenosis

Rämö, J. T., Jurgens, S. J., Kany, S., Choi, S. H., Wang, X., Smirnov, A. N., Friedman, S. F., Maddah, M., Khurshid, S., Ellinor, P. T., et al. (2024) · Circulation

Lipoproteins and Cardiovascular HealthCardiac Valve Diseases and Treatments

Cited by 26

Novel Polygenic Risk Score and Established Clinical Risk Factors for Risk Estimation of Aortic Stenosis

Small, A. M., Melloni, G. E. M., Kamanu, F. K., Bergmark, B. A., Bonaca, M. P., O’Donoghue, M. L., Giugliano, R. P., Scirica, B. M., Bhatt, D., Antman, E. M., et al. (2024) · JAMA Cardiology

Cardiac Valve Diseases and TreatmentsGenetic Associations and Epidemiology

Cited by 23

Natural language processing for adjudication of heart failure in the electronic health record

Cunningham, J. W., Singh, P., Reeder, C., Lau, E. S., Khurshid, S., Wang, X., Ellinor, P. T., Lubitz, S. A., Batra, P., & Ho, J. E. (2023) · JACC: Heart Failure

Machine Learning in HealthcareHeart Failure Treatment and Management

Cited by 21

Natural language processing to adjudicate heart failure hospitalizations in global clinical trials

Marti-Castellote, P. M., Reeder, C., Claggett, B., Singh, P., Lau, E. S., Khurshid, S., Batra, P., Lubitz, S. A., Maddah, M., Vardeny, O., et al. (2025) · Circulation: Heart Failure

Artificial Intelligence in HealthcareHeart Failure Treatment and Management

Cited by 14

Artificial Intelligence-Enabled ECG Analysis to Predict Incident Heart Failure

Khurshid, S., Friedman, S. F., Kany, S., D’Souza, V., Roshandelpoor, A., Kosyakovsky, L. B., Chitsazan, M., Cunningham, J. W., Singh, P., Lau, E. S., et al. (2026) · Circulation: Heart Failure

ECG Monitoring and AnalysisArtificial Intelligence in Healthcare

Cited by 2

Fine-tuning of polygenic score to local data improves risk prediction and clinical implementation

Kim, M. S., Sui, Y., Patel, A. P., Cho, S. M. J., Koyama, S., Paruchuri, K., Truong, B., Shim, I., Wang, M., Bitar, F. F., et al. (2026) · Nature Communications

Genetic Associations and EpidemiologyGenomics and Rare Diseases

Cited by 0