Jason Chang

Simulations using a mechanistic HIV model show that interindividual variability in infection dynamics drives differential responses to HSCT, with remission dependent on donor-to-host immune cell ratios and better predicted by clinical observations than model parameters.

This study evaluates supervised learning models for bias correction in eDNA metabarcoding, showing significant performance improvements with experiment-specific data.