eBook - PDF

Information

Year
2026
eBook ISBN
9780841295513
Subtopic
Chemistry

Table of contents

  1. Artificial Intelligence & Machine Learning in Drug Discovery and Manufacturing
  2. ACS Symposium Series1529
  3. Foreword
  4. Preface
  5. Education and Skills Development in AI for Biotech
  6. Exploring and Addressing Critical Gaps in AI Education to Advance Biotech, Bioprocessing, and Smart Manufacturing
  7. Drug Discovery and Molecular Design
  8. Establishing Cell Free Protein Expression as the Preferred Screening Platform for AI Driven Drug Discovery
  9. The Final Paradox of Protein Structure: From Levinthal and Anfinsen to the Dynamic Structure Paradox (DSP)
  10. Artificial Intelligence-Driven Approaches to Next-Generation Snakebite Treatments
  11. Process Development and Biomanufacturing
  12. Hybrid Modelling Frameworks in Bioprocessing: Current Practices and Future Directions
  13. Leveraging Transfer Learning to Maximize Data Reusability in Protein A Chromatography Resin Screening
  14. Strategic Integration of Mechanistic, Hybrid, and AI Models in Biopharmaceutical Manufacturing
  15. Regulatory and Policy Considerations
  16. From Predictions to Understanding: Explainable Machine Learning in Pharmaceutical CMC Development
  17. AI-Ready GMP Quality Systems: Regulatory Governance for Machine Learning in Pharmaceutical Manufacturing
  18. Editors’ Biographies
  19. Indexes
  20. Author Index
  21. Subject Index
  22. Preface
  23. Education and Skills Development in AI for Biotech
  24. Exploring and Addressing Critical Gaps in AI Education to Advance Biotech, Bioprocessing, and Smart Manufacturing
  25. Drug Discovery and Molecular Design
  26. Establishing Cell Free Protein Expression as the Preferred Screening Platform for AI Driven Drug Discovery
  27. The Final Paradox of Protein Structure: From Levinthal and Anfinsen to the Dynamic Structure Paradox (DSP)
  28. Artificial Intelligence-Driven Approaches to Next-Generation Snakebite Treatments
  29. Process Development and Biomanufacturing
  30. Hybrid Modelling Frameworks in Bioprocessing: Current Practices and Future Directions
  31. Leveraging Transfer Learning to Maximize Data Reusability in Protein A Chromatography Resin Screening
  32. Strategic Integration of Mechanistic, Hybrid, and AI Models in Biopharmaceutical Manufacturing
  33. Regulatory and Policy Considerations
  34. From Predictions to Understanding: Explainable Machine Learning in Pharmaceutical CMC Development
  35. AI-Ready GMP Quality Systems: Regulatory Governance for Machine Learning in Pharmaceutical Manufacturing
  36. Editors’ Biographies
  37. Indexes
  38. Author Index
  39. Subject Index

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