Project Ideas for Stanford M.S. in Biomedical Informatics

Machine Learning Models for Predicting Hospital Readmission Rates

NLP on Electronic Health Records for Automated Risk Stratification

Privacy-Preserving Federated Learning for Multi-Hospital Datasets

Genomic Variant Interpretation Using Knowledge Graphs

Clinical Trial Matching Algorithms Based on Patient History

Wearable Device Data Analysis for Remote Patient Monitoring

Explainable AI for Clinical Decision Support in ICU Settings

Chatbot Design for Symptom Triage in Primary Care Apps

Deep Learning Models for Radiology Image Diagnosis

Real-Time Sepsis Detection Using Streaming EHR Data

Data Integration Pipelines for Multi-Omics Patient Profiling

Bias Detection in Predictive Models for Health Insurance Claims

Phenotype Extraction from Clinical Narratives Using Transformers

Predictive Modeling for Personalized Medication Dosing

Analysis of Social Determinants of Health Using Census Data

Interoperability Solutions for Cross-Platform Health Data Exchange

Temporal Pattern Mining in Longitudinal Patient Records

AI-Powered Screening Tools for Rare Genetic Disorders

Clinical Workflow Optimization Through Process Mining

Building Ethical AI Frameworks for Biomedical Data Use