The Master of Science in Biomedical Data Science at the University of Wisconsin–Madison equips students with advanced computational, statistical, and biomedical expertise to analyze complex biological and health-related data. The program prepares graduates for careers in biomedical research, healthcare analytics, pharmaceuticals, and public health innovation.
Machine Learning Models for Predicting Hospital Readmissions
Integrative Genomic Analysis for Cancer Subtype Classification
Natural Language Processing of Clinical Notes for Symptom Extraction
Developing a Clinical Decision Support System Using EHR Data
Deep Learning for Tumor Detection in Histopathology Images
Predicting Drug Response Using Multi-Omics Data Integration
Privacy-Preserving Machine Learning in Healthcare Datasets
Statistical Modeling of Disease Progression in Alzheimer’s Patients
Time-Series Forecasting of ICU Patient Deterioration
Genomic Variant Interpretation Using AI-Based Pipelines
Development of Mobile Health Apps with Real-Time Analytics
AI-Powered Risk Stratification for Cardiovascular Disease
Multi-Modal Imaging Analysis for Neurodegenerative Disorders
Evaluating Bias and Fairness in Clinical Algorithms
Survival Analysis Techniques for Cancer Outcomes
Clustering Algorithms for Population-Level Health Data
Real-Time Syndromic Surveillance Using Wearable Devices
Data Harmonization Techniques Across Health Institutions
Explainable AI in Clinical Decision Making
Modeling Infectious Disease Spread Using Agent-Based Simulation
Drive innovation at the intersection of computation and medicine by mastering analytical tools to transform biomedical data into actionable insights.
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