Biomedical and Health Sciences

Build a machine learning project that compares voice and typing signals for Parkinson’s detection and checks fairness across age and sex.

Build an epitope-prediction workflow, compare HLA coverage across populations, and learn how immunoinformatics guides vaccine design.

Build a survival analysis project that tests whether honey, garlic, or oregano oil boosts sub-MIC antibiotics against E. coli K-12.

Build an interpretable model that predicts NAFLD from routine bloodwork, then test calibration, external validation, and decision-curve value.

Build a wearable-age model from steps, sleep, and heart data, then test whether it tracks chronic conditions in open datasets.

Build a cytokine-based age score from public Olink data, then test how well it tracks immune aging, frailty, and biological age.

Build a bioinformatics project that links GWAS variants to tissue-specific enhancers and ranks autoimmune risk with ABC-score logic.

Measure how fermentation changes antioxidant capacity with DPPH colorimetry, then model the reaction over time and compare common foods.

Build a tongue-image classifier on a public dataset, test its link to blood biomarkers, and learn image preprocessing, model validation, and feature comparison.

Model how prebiotic fibers change gut microbe metabolism and SCFA output, and practice network analysis with public AGORA models.