Duke’s NIH-funded Medical Scientist Training Program (MSTP) integrates the rigor of an M.D. curriculum with the depth of Ph.D. discovery. Trainees rotate through clinical wards while running CRISPR screens on patient-derived organoids, devise AI-guided trial designs, and translate biomarkers into first-in-human studies. A protected “translational incubator” semester pairs fellows with FDA, venture capital, and community-health mentors, ensuring inventions advance equitably from bench to bedside.
Single-cell multi-omics of CAR-T neurotoxicity with clinical correlates
AI trial-matching engine for rare-disease basket studies
CRISPR base-editing therapy for sickle-cell in autologous HSCs
Wearable sepsis-prediction algorithm validated in the ICU
Nanoparticle-delivered mRNA vaccine for pan-influenza protection
Federated EHR analysis predicting chemo-cardiotoxicity
VR surgical rehearsal tools integrating patient-specific CT data
Blockchain consent ledger for longitudinal biobank studies
Policy brief on equitable reimbursement for genomic diagnostics
Liquid-biopsy methylome classifier for early pancreatic cancer
Long-COVID phenotyping cohort with metabolomic stratification
Machine-learning optimization of drug-dose personalization
Biosensor pill measuring real-time gut microbiota metabolites
Public-engagement video series demystifying gene-therapy trials
Open-source pipeline for synthetic clinical-trial data generation
Citizen-science platform collecting wearable sleep-apnea metrics
Ethics framework for AI triage in emergency departments
Cancer-avatar organoid panel guiding precision therapy decisions
Invent and deliver tomorrow’s cures through Duke’s integrated MSTP.
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