Duke University · PhysiologyCardiovascular Genomics Lab
Svati H. Shah · Durham, North Carolina
Research Focus
Dr. Svati H. Shah's lab at Duke University focuses on improving the diagnosis and treatment of rare genetic heart diseases. By using advanced machine learning techniques, the lab seeks to better identify at-risk patients through analyzing heart images and electronic medical records. The ultimate goal is to develop reliable methods for early identification and therapeutic interventions tailored to individual patients, particularly those affected by conditions like hypertrophic cardiomyopathy and cardiac amyloidosis.
machine learninggenetic testingcardiovascular disordersdeep learningclinical utilityelectronic health recordshypertrophic cardiomyopathytransthyretin amyloidosisphenotypingprecision medicine
Research Aims
4AIM 01Refine imaging-based deep learning algorithms for diagnosing hypertrophic cardiomyopathy and transthyretin amyloidosis.
AIM 02Develop and validate a computable phenotype for identifying at-risk patients using electronic health records.
AIM 03Utilize machine learning algorithms to identify genetic variants of uncertain significance related to heart conditions.
AIM 04Evaluate the feasibility and clinical utility of an integrated approach combining imaging algorithms, electronic health records, and genetic testing.
Skills the Lab Values
machine learningdeep learningechocardiography analysisdata analysisgenetic variant interpretationcomputable phenotypespatient record analysisbioinformaticsclinical research methodshigh-throughput phenotyping
Output against the department
Publications567top 4% of dept.12th of 286
this lab
most publishedleast published
Citations71ktop 2% of dept.6th of 286
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.