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2. What is AI?
AI is the ability of a machine to perform tasks that
normally require human intelligence:
• - Understanding language
• - Recognizing patterns
• - Solving problems
• - Learning from experience
8. Key AI Terms
• AI: Machine mimics intelligence – e.g., chatbot
• ML: Learns from data – predicts ADR
• DL: Deep networks – pathology images
• NLP: Reads language – doctor notes
• Data Science: Analyze large datasets
15. How AI Works – 5 Steps
1. Data Collection
2. Preprocessing
3. Model Training
4. Model Testing
5. Prediction
16. Case Study 1 – Halicin Discovery
• MIT used deep learning on molecular
structures
• Found novel antibiotic Halicin in 48 hrs
• Effective against TB and C. difficile
17. Case Study 2 – Insilico Medicine
• AI platforms (PandaOmics, Chemistry42)
• Discovered IPF drug in 46 days
• Entered preclinical trials fast
18. Case Study 3 – Personalized Cancer Therapy
• Exscientia analyzed tumor samples
• Matched drugs using AI
• Result: 54% improved outcomes
19. Case Study 4 – Alzheimer’s Discovery
• Oxford DDI used AI for immune gene selection
• Found 54 targets for Alzheimer’s
• Accelerated biomarker discovery
20. Case Study 5 – Pharmacovigilance via Twitter
• NLP flagged statin-related muscle pain
• Detected 6 months before formal reports
• AI supports real-time ADR tracking
