Biomedical and Health Sciences

Design an in-silico multi-epitope mRNA vaccine against Candida auris using epitope prediction, codon optimization, and RNAfold stability checks.

Design CRISPR-Cas13 guide RNAs against conserved RNA virus regions, score human off-targets, and predict RNA structure access on a laptop.

Measure whether low-sodium labels match chloride results, then connect your audit to blood-pressure data and learn food analysis and modeling.

Use public immune cohorts to build and explain a machine learning model that predicts flu vaccine antibody response from baseline genes and demographics.

Compare public BCR and TCR clonotypes across COVID-19, influenza, and EBV data to build repertoire analysis and specificity prediction skills.

Model tumor-immune dynamics with coupled ODEs, fit them to published response curves, and compare dosing schedules for dose sparing.

Build a privacy-preserving sepsis model with federated learning, differential privacy, and clear baseline comparisons across hospital splits.

Model how flu, norovirus, or RSV move through a school, then test which ventilation, mask, and cohort rules cut spread for the least cost.

Use public gene-expression data and network analysis to rank long COVID drug repurposing candidates and build a testable bioinformatics project.

Compare adolescent and adult drug interaction signals with FAERS, DrugBank, and shrinkage methods that stabilize sparse data.