Part 6/9:
Target Identification & Validation: Analyzing massive biomedical datasets instantly to find promising drug targets.
Preclinical Optimization: Predicting how compounds will perform before costly lab tests.
Clinical Trial Design & Patient Recruitment: Using electronic health records to identify suitable candidates quickly, saving time and money.
Post-Approval Monitoring: Continuously analyzing data to monitor drug efficacy and safety.
While challenges such as AI hallucinations (errors or hallucinated data) still exist, the proven success of MIT’s antibiotic project demonstrates that these issues can be managed and mitigated.