Pepper Bio’s Post

Companies are pushing to embed AI into every aspect of the drug discovery process where biotech and big tech merge to attack human disease with artificial intelligence, but how beneficial is it? Read on to find out. #ai #biotech #drugdiscovery #drugresearch https://lnkd.in/dT6upRpt

AI has tremendous potential to accelerate drug discovery and development by identifying disease targets, designing new therapies and improving clinical trial success and efficiency. However, the industry may have a way to go before AI will unlock a cure for cancer or Alzheimer’s. As the article below states, “Because ChatGPT can write a poem based on a simple prompt does not mean generative AI as a technology can leverage the increasing supply of genetic information to unravel disease.”  As we are learning, even if AI can improve the slow, deliberate, and uncertain R&D process, successes will still come in fits-and-starts.  AI must be built on a solid foundation, and innovation starts with the fundamentals. To have strong algorithms you have to have strong data, and a lot of the companies that invested in AI early on are realizing the limitations of their own data. #generativeAI  

Check out this article... It talks about how AI is changing the game in drug design. Imagine, algorithms doing the heavy lifting, sifting through data at lightning speed. "AI has the potential to revolutionize drug discovery." What's next for AI?

As scientists we have our own biases towards what's trending in #drugdiscovery. I am not sure the #privateequity #VC community always agrees. I am delighted that Jernej Godec, Jenna Hebert, James Kasuboski, Jasmina Marjanovic and Swetha Murali are joining us at #BostonDOT24 to share their thoughts on -Key drivers of innovation in drug discovery -Improvements in translating discoveries from the lab to the clinic -Impact of emerging areas like AI/machine learning, targeted degraders and molecular glues -Perspectives on current challenges and opportunities Why wait until then to get talking?! https://lnkd.in/e3ED9js2

https://lnkd.in/eRXzGJxU if you are at BIO, Eeshit Dhaval Vaishnav will talk about using AI/ML for designing therapeutic molecules. Moderated by Michal Preminger

Anything #drugdiscovery you would like to see discussed at the upcoming #BostonDOT24 event? Final agenda now online but we are putting together topics for informal breakout discussions that seem to be very conducive for brainstorming and collaborations. Here are some that are already on my list #molecularglues #transcriptionfactors #proteindegraders #AI #ML #RNAtargets #3Dmodels https://lnkd.in/eQ5RvdTW

The next drug you take may be designed by AI. The current drug discovery process has a failure rate of about 90%. That is quite an impressive number. How can we apply AI to bring that number down? New AI models like AlphaFold 3 which can predict the structure and interactions of all of life’s molecules may be a fast step forward, still they need to prove their efficacy in the real world, which is often much more complex than simplified environments anticipated for predictions. #ai #drugdiscovery

The next drug you take may be designed by AI. The current drug discovery process has a failure rate of about 90%. That is quite an impressive number. How can we apply AI to bring that number down? New AI models like AlphaFold 3 which can predict the structure and interactions of all of life’s molecules may be a fast step forward, still they need to prove their efficacy in the real world, which is often much more complex than simplified environments anticipated for predictions. #ai #drugdiscovery

Interesting article on what the bright future of drug discovery may look like. How has AI impacted your business? The next drug you take may be designed by AI. The current drug discovery process has a failure rate of about 90%. That is quite an impressive number. How can we apply AI to bring that number down? New AI models like AlphaFold 3 which can predict the structure and interactions of all of life’s molecules may be a fast step forward, still they need to prove their efficacy in the real world, which is often much more complex than simplified environments anticipated for predictions. #ai #drugdiscovery

Learn how to prepare for the future of AI-driven scientific research at this upcoming webinar hosted by Shape Therapeutics Inc. & Benchling! Join us on Wednesday, April 24th at 12pm PST and register now to secure your spot. This webinar will cover how to reset your R&D with AI-ready data and AI-enabled scientists for scalable scientific results. Register today using the link below! #AI #scientificresearch #webinar #celltherapy #antibodyresearch #genetherapy #infectiousdisease #RNA #mRNA