Translational Medical Science

Design a VR exposure protocol and analyze galvanic skin response to learn how habituation curves can support pediatric fear treatment.

Build a voice-analysis project that measures jitter, shimmer, and HNR, then tests how well speech features track Parkinson’s metadata.

Build a smartphone pupillometry study to measure pupil reflex timing, compare against norms, and learn how screening metrics work.

Track classroom CO2 and symptom diaries to test how ventilation relates to illness risk, data analysis, and dose-response patterns.

Build and test a low-cost triage device with tinyML, sensor fusion, and validation against clinical ground truth for early warning scoring.

Reanalyze Cell-Painting images with self-supervised learning to predict drug mechanisms, compare embeddings, and test retrieval accuracy.

Measure how grocery-store polyphenols change worm movement and survival under heat stress, and build a clean screening workflow with image analysis.

Test grocery-store spice extracts against safe lab surrogates and quantify inhibition zones with smartphone color analysis and statistics.

Design a sleep micro-intervention and measure changes with wearable sleep-stage data, then analyze which CBT-I features help most.

Build and test a reinforcement-learning insulin controller in simulation, compare it with PID and MPC, and learn signal control for diabetes care.