Trend AI drives a bio revolution from genetic analysis to personalised medicine
Summary
The report sees AI analysing vast data to untangle the complexity of drug development and turning personalised medicine into reality. Plunging genome sequencing costs and the spread of wearables are rapidly accumulating individual genomic, clinical and lifestyle data. Because conventional drug development takes more than ten years on average at enormous cost, pressure is rising to cut time and cost with AI. Advanced AI is becoming the key tool to turn big data into knowledge, shifting medicine from treatment toward prediction, prevention and personalisation. AI is expected to become essential infrastructure across the whole drug development cycle, from candidate discovery to drug design, raising the odds of success.
Classification
Evidence 1
- 한국지능정보사회진흥원(NIA) NIA가 전망한 2026년 12대 AI·디지털 트렌드 한국지능정보사회진흥원(NIA) no link — bibliographic entry p. 25 2025-12-31 accessed 2026-09-30
Observed signals 2
Part of issues 1
- IssueRegulating AI-bio innovation and securing health data, with Korea's AI bio strategy1 trends · 0 signals
Relation types: constitutes · supports
Public id: fm-db216447799f
