Medicine
Showing 781-790 of 1,153 Results
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Michele Lanpher Patel
Instructor, Medicine - Stanford Prevention Research Center
BioMichele L. Patel, PhD is an Instructor in the Stanford Prevention Research Center at the Stanford University School of Medicine. Trained as a clinical health psychologist, Dr. Patel conducts research to optimize scalable digital health interventions for adults with obesity. She leads clinical trials that test innovative strategies to address the critical challenge of suboptimal engagement in digital interventions.
Dr. Patel's research is supported by an NIH career development award (K23; 2022-2027). Her recent Spark trial investigated the most potent combination of self-monitoring strategies in a behavioral weight loss intervention among 176 adults with overweight or obesity. Results are expected to be published in 2026.
She is also testing other strategies to promote engagement, weight loss, and health. This includes the impact of easier vs. harder goals, and the effect of high-frequency, low-friction behavioral strategies. Her work leverages the Multiphase Optimization Strategy (MOST) to systematically identify intervention strategies that maximize effectiveness while minimizing patient burden.
Dr. Patel received her PhD in clinical psychology from Duke University. She completed her clinical internship at the VA Palo Alto with a specialization in behavioral medicine, followed by a postdoctoral fellowship (T32) at the Stanford Prevention Research Center. She currently serves as the Chair of the Optimization of Behavioral and Biobehavioral Interventions special interest group in the Society of Behavioral Medicine.
Primary Research Interests:
-- Optimizing digital interventions for obesity treatment and prevention
-- Leveraging behavioral science to create lower-burden self-monitoring strategies to improve engagement and outcomes
-- Identifying psychosocial factors (including health literacy and self-efficacy) that influence treatment success
Methodological Expertise:
-- Randomized clinical trials, including factorial designs and embedded trials
-- Systematic reviews
-- Signal detection analysis -
Neha Patel, MD
Clinical Assistant Professor, Medicine - Oncology
BioDr. Neha Patel is a triple board-certified, fellowship-trained medical oncologist with Stanford Health Care. She is also a clinical assistant professor in the Department of Medicine, Division of Oncology at Stanford University School of Medicine.
Dr. Patel provides expert, personalized care for patients with both common and rare cancers and specializes in treating patients with genitourinary cancer. She is deeply committed to delivering comprehensive, patient-centered oncology services, with an emphasis on helping individuals and their families understand their diagnosis and navigate treatment options with confidence and clarity.
Her research focuses on designing and implementing system-level interventions to advance equitable, high-value cancer care. Dr. Patel is particularly passionate about integrating oncology and palliative (symptom-relieving) care—creating collaborative models that improve patient outcomes, elevate the quality of life, and enhance the overall care experience.
Known for her compassionate and relational approach, Dr. Patel builds strong, trusting partnerships with the patients and families she serves. She prioritizes care that aligns with each individual’s values, preferences, and goals, with the aim of achieving the best possible quality of life and longevity. -
Achyut Patil, MD
Clinical Assistant Professor, Medicine - Pulmonary, Allergy & Critical Care Medicine
BioDr. Achyut Patil is a board-certified pulmonologist at Stanford Health Care and a clinical assistant professor in the Department of Medicine, Division of Pulmonary, Allergy & Critical Care Medicine at Stanford University School of Medicine.
He diagnoses and treats disorders of the lungs and respiratory system, including pneumonia and chronic obstructive pulmonary disease (COPD). In addition, Dr. Patil performs various pulmonary and critical care procedures. These include bronchoscopy (viewing the airways with a camera scope) and catheterization (placing a thin tube into a blood vessel for monitoring), among others.
Dr. Patil’s research interests include improving the experience of medical school trainees. He is also involved in teaching resident and fellow physicians.
Dr. Patil has published in the peer-reviewed journals Neuro Oncology, Journal of Biological Chemistry, and Lipids. -
Ria Paul
Clinical Associate Professor, Medicine - Primary Care and Population Health
BioClinical Focus
.Internal Medicine
.Geriatric Medicine
.Wellness
.Focus on Health Disparities in Elderly Population -
Mark Pegram
Susy Yuan-Huey Hung Professor
Current Research and Scholarly InterestsMolecular mechanisms of targeted therapy resistance in breast and other cancers
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Marco Perez
Associate Professor of Medicine (Cardiovascular Medicine)
BioDr. Marco Perez's research goal is to better understand the fundamental causes of cardiovascular disease through the study of genetics and epidemiology. His group studies the genetic variations and environmental exposures that are associated with conditions such as atrial fibrillation and heart failure. He has led the studies of atrial fibrillation in Women's Health Initiative, one of the largest nation-wide population-based cohorts. He is currently conducting a large study monitoring for silent or asymptomatic atrial fibrillation in women from the WHI randomized to exercise intervention, and was co-PI of the Apple Heart Study, a clinical trial that validated the ability of a smartwatch to detect atrial fibrillation. He is now PI of the Clinical Coordinating Center at Stanford for the REACT-AF which is a clinical trial to evaluate efficacy and safety of a "pill-in-the pocket" approach to anticoagulation for AF using a smartwatch. He is interested in understanding the paradox that atrial fibrillation is less common in African Americans and Hispanics, despite a greater burden of risk factors such as hypertension. As director of the Stanford Inherited Arrhythmia Clinic, he evaluates families with rare inherited arrhythmias associated with sudden death such as Long QT and Brugada Syndromes and explores their links with novel genes. He also studies the genetic causes of very early onset atrial fibrillation. He also studies how best to use the electrocardiogram and imaging modalities using Machine Learning techniques to identify patients at risk for cardiovascular disease. Dr. Perez receives funding from the NIH/NHLBI, Apple Inc., Janssen and the Colson Foundation.
