Translational Medical Science

Build PBPK models in PK-Sim to compare pediatric and adult acetaminophen exposure curves and design a weight-aware dosing nomogram.

Measure how essential-oil emulsions spread through a kombucha biofilm with smartphone microscopy, ImageJ, and clear kinetics data.

Build docking and rescoring skills by ranking natural products against a SARS-CoV-2 protease pocket and testing how stable each pose looks.

Build and test an AI pain coaching chatbot by scoring empathy, CBT fidelity, and response quality with a blinded rubric.

Use NLP, topic modeling, and survey testing to compare vaping quit messages and build a stronger chatbot prompt strategy.

Use NHANES data to test how ultra-processed food intake and sleep duration interact, and build causal-inference skills with real public health data.

Build a colorimetry-based screening model for anemia using standardized smartphone nail photos, lighting control, and diverse skin-tone data.

Build a HET-CAM assay to compare eye-drop irritancy, score vascular response with smartphone photos, and practice pre-clinical data analysis.

Build a data pipeline that links NOAA heat forecasts to ED visit patterns and tests whether a 72-hour alert can predict health spikes.

Test how wound-healing products change planaria regeneration and build smartphone time-lapse analysis skills with U-Net segmentation.