top of page

Here are some references suggested by the HitchhikersAI community:

  1. A dynamic map for learning, communicating, navigating and improving therapeutic development, John Wagner et al, Nature Reviews Drug Discovery volume 17, page 150 (2018) 

  2. AI in biopharma research: A time to focus and scale, October 10, 2022, McKinsey

  3. Artificial intelligence in drug development: present status and future prospects, Kit-Kay Mak et al, Drug Discovery Today, Volume 24, Issue 3, March 2019, Pages 773-780

  4. Artificial intelligence in drug discovery: what is realistic, what are illusions? Part 1: Ways to make an impact, and why we are not there yet, Andreas Bender et al, Drug Discovery Today, Volume 26, Issue 2, February 2021, Pages 511-524

  5. Evaluation guidelines for machine learning tools in the chemical sciences, Andreas Bender et al, Nature Reviews Chemistry volume 6, pages 428–442 (2022)

  6. Critical assessment of AI in drug discovery, W. Patrick Walters et al, Pages 937-947, Expert Opinion on Drug Discovery Volume 16, 2021 - Issue 9: Artificial Intelligence (AI) in Drug Discovery

  7. Best practices for machine learning in antibody discovery and development, Leonard Wossnig et al, December 2023

  8. Unlocking the Potential of AI in Drug Discovery, June 2023, Boston Consulting Group

  9. Cultures of data mining in pharmaceutical drug discovery, Work in Progress Report, Itzelle Medina Perea et al, December 2023

  10. The Unreasonable Effectiveness of Mathematics in the Natural Sciences, Eugene Wigner, Communications in Pure and Applied Mathematics, Vol. 13, No. I (February 1960)

  11. AI-driven drug discovery has led to more than 30 assets in clinical trials, up from 0 in 2020, Artis Ventures

  12. Using chemical and biological data to predict drug toxicity, Srijit Seal et al, SLAS Discovery, Vol 28, Issue 3, April 2023, Pages 53-64

  13. A Plan Is Not a Strategy, Roger Martin, Dean, Rotman School of Management at the University of Toronto, 2023.

  14. Bringing computation to biology by bridging the last mile, Anne Carpenter et al, Nature Cell Biology, Volume 26, January 2024, Pages 5 - 7

  15. The Right Data for Good Results: Introducing the 5 ‘V’s of Drug Discovery Data, Leo Wossnig, July 2023.

  16. Results of CACHE Challenge #1, CACHE.

  17. REINVENT 4: Modern AI–Driven Generative Molecule Design, Hannes Loffler et al, Astrazeneca, November 2023.

Please also share your suggested reading.  Join us.

Community meeting recordings

May 3 2024

bottom of page