Translational Medical Science

Build a text-mining pipeline that ranks approved drugs for long COVID by symptom overlap, adverse events, and target-pathway matching.

Map herbal compounds to arthritis pathways, score synergy, and build bioinformatics skills with DrugBank, STRING, and Reactome.

Build a peptide design pipeline that predicts antimicrobial activity, hemolysis, and biofilm disruption, then ranks candidates for testing.

Map food access, air pollution, and clinic access to model cardiometabolic risk, then test how small interventions shift the score.

Build a structured smell test and analyze how scent scores relate to risk factors, survey responses, and basic biomarker screening.

Build a CNN that reads dried blood spot patterns and estimates hemoglobin, then compare your results with reference curves and anemia status.

Build a CNN model that reads handwriting stroke data and compares tremor patterns, using interpretable features and real medical datasets.

Build a webcam posture tracker and test whether phone vibration feedback lowers neck-flexion dose during homework over 4 weeks.

Use causal discovery and Mendelian randomization to test links between sleep apnea and hypertension, and build real epidemiology analysis skills.

Model how CAR-T cells act in hypoxic tumors, then test how affinity and exhaustion change killing, growth, and design rules.