Artificial_Intelligence_in_Healthcare_and_Drug_Discovery.pptx

AI IN HEALTHCARE

1. Artificial Intelligence in Healthcare and Drug Discovery Academic Presentation M.Pharm Level

2. Introduction AI applies computational algorithms to analyze medical data and accelerate drug discovery.

3. Applications in Healthcare Diagnosis, imaging, patient monitoring, and personalized medicine.

4. Applications in Drug Discovery Target identification, molecule screening, and clinical trial optimization.

5. Advantages Improved accuracy, reduced time, and cost-effective solutions.

6. Limitations Data privacy, model bias, and regulatory challenges.

7. Recent Advances AI-driven molecule design and predictive analytics for treatment response.

8. Future Outlook Integration of AI with genomics and wearable health devices.

9. Conclusion AI is revolutionizing modern medicine with data-driven insights and automation.

10. References 1. Mak KK, et al. Drug Discov Today. 2019;24(3):773–780. 2. Topol EJ. Nat Med. 2019;25:44–56.