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Shefali S Verma

Showing results (1-10 of 72) with videos related to

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Medrxiv : the Preprint Server for Health Sciences|November 1, 2024
Understanding Pain in Polycystic Ovary Syndrome: Health Risks and Treatment EffectivenessTess Cherlin, Stephanie Mohammed, Sasha Ottey, et al.
Medrxiv : the Preprint Server for Health Sciences|September 2, 2025
Integrating Imaging-Derived Clinical Endotypes with Plasma Proteomics and External Polygenic Risk Scores Enhances Coronary Microvascular Disease Risk PredictionRasika Venkatesh, Tess Cherlin, , et al.
Journal of the American Medical Informatics Association : JAMIA|January 2, 2017
Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinomaDokyoon Kim, Ruowang Li, Anastasia Lucas, et al.
Microcirculation (New York, N.Y. : 1994)|January 4, 2025
Genetic Insights Into Coronary Microvascular DiseaseNicole Wayne, Venkata S Singamneni, Rasika Venkatesh, et al.
Frontiers in Digital Health|June 21, 2023
Leveraging electronic health record data for endometriosis researchNadia Penrod, Chelsea Okeh, Digna R Velez Edwards, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|February 27, 2026
Integrating Imaging-Derived Clinical Endotypes with Plasma Proteomics and External Polygenic Risk Scores Enhances Coronary Microvascular Disease Risk PredictionRasika Venkatesh, Tess Cherlin, Penn Medicine BioBank, et al.
Pharmacogenomics|November 15, 2024
Estimated clinical utility of multi-gene pharmacogenetic testing in a retrospective cohort of gynecology patientsGlenda Hoffecker, Karl Keat, Lakeisha Mulugeta-Gordon, et al.
Addiction Biology|October 6, 2021
Genetic liability for substance use associated with medical comorbidities in electronic health records of African- and European-ancestry individualsEmily E Hartwell, Alison K Merikangas, Shefali S Verma, et al.
BMC Bioinformatics|April 6, 2018
A simulation study investigating power estimates in phenome-wide association studiesAnurag Verma, Yuki Bradford, Scott Dudek, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 9, 2017
Evaluation of PrediXcan for prioritizing GWAS associations and predicting gene expressionBinglan Li, Shefali S Verma, Yogasudha C Veturi, et al.
Pageof 8

Showing results (1-10 of 72) with videos related to

Sort By:
Pageof 8
Medrxiv : the Preprint Server for Health Sciences|November 1, 2024
Understanding Pain in Polycystic Ovary Syndrome: Health Risks and Treatment EffectivenessTess Cherlin, Stephanie Mohammed, Sasha Ottey, et al.
Medrxiv : the Preprint Server for Health Sciences|September 2, 2025
Integrating Imaging-Derived Clinical Endotypes with Plasma Proteomics and External Polygenic Risk Scores Enhances Coronary Microvascular Disease Risk PredictionRasika Venkatesh, Tess Cherlin, , et al.
Journal of the American Medical Informatics Association : JAMIA|January 2, 2017
Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinomaDokyoon Kim, Ruowang Li, Anastasia Lucas, et al.
Microcirculation (New York, N.Y. : 1994)|January 4, 2025
Genetic Insights Into Coronary Microvascular DiseaseNicole Wayne, Venkata S Singamneni, Rasika Venkatesh, et al.
Frontiers in Digital Health|June 21, 2023
Leveraging electronic health record data for endometriosis researchNadia Penrod, Chelsea Okeh, Digna R Velez Edwards, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|February 27, 2026
Integrating Imaging-Derived Clinical Endotypes with Plasma Proteomics and External Polygenic Risk Scores Enhances Coronary Microvascular Disease Risk PredictionRasika Venkatesh, Tess Cherlin, Penn Medicine BioBank, et al.
Pharmacogenomics|November 15, 2024
Estimated clinical utility of multi-gene pharmacogenetic testing in a retrospective cohort of gynecology patientsGlenda Hoffecker, Karl Keat, Lakeisha Mulugeta-Gordon, et al.
Addiction Biology|October 6, 2021
Genetic liability for substance use associated with medical comorbidities in electronic health records of African- and European-ancestry individualsEmily E Hartwell, Alison K Merikangas, Shefali S Verma, et al.
BMC Bioinformatics|April 6, 2018
A simulation study investigating power estimates in phenome-wide association studiesAnurag Verma, Yuki Bradford, Scott Dudek, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 9, 2017
Evaluation of PrediXcan for prioritizing GWAS associations and predicting gene expressionBinglan Li, Shefali S Verma, Yogasudha C Veturi, et al.
Pageof 8