We have developed and clinically validated a novel machine learning–based anticholinergic burden scale (ML-ACB) that integrates detailed pharmacological properties, including absorption, distribution, metabolism, excretion (ADME), blood–brain barrier penetration, and receptor affinity. Read more
Year round applications
PhD Research Project
Self-Funded PhD Students Only