McClure HSHS Current Issues in Healthcare Practice Test 2026 - Free Practice Questions and Study Guide for Healthcare Industry Trends

AI-accelerated, end-to-end drug development describes speeding the entire process from identifying targets to designing molecules and running trials. This goes beyond just discovery work and includes the optimization, testing, and data analysis phases that occur during development, so the term that best fits is AI & drug development. A phrase like AI in drug discovery focuses mainly on early-stage activities such as target identification and lead finding, which doesn’t fully capture the trial-design and trial-execution components described. Genomic medicine centers on tailoring therapies to a patient’s genetic makeup, not on applying AI across the whole development pipeline. Digital therapeutics refer to software-based treatments, not AI-enabled drug development in the traditional sense. So using AI & drug development reflects the integrated role of AI across creating, validating, and testing new therapies.