Udemy - Artificial Intelligence in Biopharma

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Udemy - Artificial Intelligence in Biopharma (Size: 1.8 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
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  1 - AI in Biopharmaceuticals
  1. The AI Revolution in Biopharmaceuticals.mp4 59.8 MB
  2 - Biology-foundations
  10. AI and Protein - AlphaFold.mp4 39.7 MB
  11. Manufacturing Biologic Drugs.mp4 22.7 MB
  3 - AI in Drug Discovery and Design
  12. Introduction to AI-Driven Drug Discovery.mp4 14.2 MB
  13. Biochips - Accelerating Target Discovery.mp4 38.2 MB
  14. AI for Target Identification.mp4 59.3 MB
  15. Gene Expression Analysis.mp4 89.3 MB
  16. AI for Molecular Design.mp4 30.8 MB
  17. AlphaFold's Role in Drug Design.mp4 35.1 MB
  18. AI Drug Discovery Platforms.mp4 31.2 MB
  19. AI Predicts ADMET.mp4 20.4 MB
  20. Molecule to Drug - AI for Lead Optimization.mp4 30.8 MB
  21. AI Is Reshaping the Drug Development.mp4 19.1 MB
  4 - AI in Clinical Trials
  22. Clinical Trial Fundamentals.mp4 38.6 MB
  23. AI for Patient Recruitment and Enrollment.mp4 37.6 MB
  24. AI for Clinical Trial Design.mp4 35.8 MB
  25. AI - Control Arms and Site Selection.mp4 49.7 MB
  26. AI Safety Monitoring.mp4 63.2 MB
  27. The Future of AI-Powered Clinical Trials.mp4 12.6 MB
  5 - AI in Pharmaceutical Manufacturing and Supply Chain
  28. Pharmaceutical Manufacturing Fundamentals.mp4 48 MB
  29. AI for Real-Time Process Monitoring.mp4 37.2 MB
  30. AI for Manufacturing Process Optimization.mp4 56.4 MB
  31. AI for Quality Assurance and Smart Manufacturing.mp4 64.6 MB
  32. AI in Pharmaceutical Supply Chain.mp4 22.3 MB
  33. Summary and Future Outlook.mp4 17.8 MB
  6 - AI in Regulatory Affairs and Pharmacovigilance
  34. Regulatory Affairs and Pharmacovigilance Fundamentals.mp4 46 MB
  35. AI in Regulatory Affairs.mp4 68.7 MB
  36. AI in Pharmacovigilance.mp4 39 MB
  37. AI for Drug Safety Monitoring.mp4 60.3 MB
  38. AI from the Regulator's Perspective.mp4 16.2 MB
  39. Summary and Future Outlook.mp4 17.8 MB
  7 - AI Success Stories in Biopharmaceuticals
  40. Introduction to AI Success Stories.mp4 11.4 MB
  41. Finding a COVID Treatment in Three Days.mp4 54.9 MB
  42. Designing a Drug No One Had Designed Before.mp4 49.6 MB
  43. A Cancer Vaccine Built for One Patient at a Time.mp4 56.8 MB
  44. Making Biology Into a Data Problem.mp4 66 MB
  45. Bringing Precision Medicine to the Clinic.mp4 66.8 MB
  46. Common Patterns Across AI Success Stories.mp4 28.4 MB
  4. The Language of Life.mp4 11.5 MB
  5. Cell and Gene.mp4 51.7 MB
  6. DNA.mp4 28 MB
  7. Protein.mp4 30.3 MB
  8. Codon Optimization.mp4 32.5 MB
  9. Transcription and Translation.mp4 28.6 MB
  2. What You Will Learn in This Course.mp4 39.7 MB
  3. Who Should Take This Course.mp4 60.8 MB

Description


Artificial Intelligence in Biopharma
https://WebToolTip.com
Published 7/2026

Created by Hozefa J

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Level: Intermediate | Genre: eLearning | Language: English | Duration: 46 Lectures ( 2h 35m ) | Size: 1.8 GB
AI applications in drug discovery, clinical trials, biopharma manufacturing and regulatory with real success stories.
What you'll learn

⚡ Understand how AI is transforming the biopharmaceutical industry from drug discovery and clinical trials to manufacturing and patient care.

⚡ Explain how AI accelerates drug discovery using target identification, AlphaFold, generative AI, and molecular design techniques.

⚡ Describe how AI improves clinical trials, pharmaceutical manufacturing, regulatory affairs, and pharmacovigilance workflows.

⚡ Evaluate real-world AI applications, leading biopharma companies, benefits, challenges, and future trends in pharmaceutical innovation.

⚡ Learn how AI is used throughout the drug development lifecycle from target discovery to post-market drug safety monitoring.

⚡ Identify AI applications across clinical trials, pharmaceutical manufacturing, regulatory affairs, and pharmacovigilance.
Requirements

❗ No prior AI, machine learning, or programming experience is required.

❗ Basic familiarity with healthcare, life sciences, or pharmaceuticals is helpful but not mandatory.

❗ The course is designed for both technical and non-technical learners.

❗ A willingness to learn about how AI is transforming the biopharmaceutical industry is the only prerequisite.

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