School of Medicine
Showing 1-10 of 39 Results
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Alireza Raissadati
Affiliate, Department Funds
Fellow in Pediatrics - CardiologyBioAlireza Raissadati, MD, PhD is a fellow in pediatric cardiology at Lucile Packard Children's Hospital, Stanford. He obtained his medical degree, PhD in medicine, and PhD in biotechnology from University of Helsinki. His research focused on population-based long-term outcomes of patients following congenital heart surgery and the role of vascular growth factors and gene vectors as management strategies for heart transplant rejection.
Dr. Raissadati completed his pediatric residency training at Boston Children's Hospital/Harvard Medical School and Boston Medical Center in Boston, MA. His clinical interest lies in treating pediatric patients with heart failure and following heart transplantation. His research is focused on understanding the intricacies of heart transplant rejection to find new therapeutic targets for acute rejection and coronary artery vasculopathy of the heart transplant. -
Ekanath Srihari Rangan
Affiliate, Department Funds
Resident in MedicineCurrent Research and Scholarly InterestsWearable medical systems for non-invasive and pervasive health monitoring in cardiovascular and critical care contexts; Correlation of genomic aspects of disease with phenotypic data from electronic health records; Informatics and machine learning for precise detection and early warning of infectious diseases; Preemptive protocols for managing disease severity trajectories; And IoT based Telemedicine.
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Adrit Rao
Affiliate, School of Medicine - MDRP'S - Biodesign Program
BioAdrit is passionate about research at the intersection of deep learning, healthcare, and mobile apps. For the past four years, he has been conducting digital health research at Stanford's Vascular Surgery division. He is also a member of the Stanford Mussallem Center for Biodesign's Digital Health group and serves as a TA for Stanford's CS342 course.
Adrit has co-authored 16 peer-reviewed publications, including 13 as first author. He has presented at several prestigious international conferences, including MICCAI, ICCV, CVPR, and MWSCAS. He developed AutoABI, a patent-pending AI-enabled app for peripheral artery disease diagnosis. He developed the A4 deep learning pipeline for automated abdominal aortic aneurysm measurement which is open-sourced through Stanford AIMI's Comp2Comp. His research also focuses on improving the explainability of computer vision for medical image analysis. He is also a contributor to Stanford Spezi's digital health ecosystem.
