Can AI cure autoimmune diseases? This episode of Impact AI dives into the groundbreaking work of DeepCure, where artificial intelligence meets medicinal chemistry to tackle some of healthcare's most stubborn challenges. Co-founder and CEO Kfir Schreiber shares how his team uses advanced machine learning tools, physics simulations, and human expertise to design the next generation of small molecule drugs. From overcoming data limitations to fostering tight collaboration between machine learning scientists and chemists, this discussion illuminates the potential of AI-driven innovation in transforming patient outcomes. With a rheumatoid arthritis drug nearing clinical trials, DeepCure is poised to redefine the future of medicine. Tune in to discover how AI can accelerate drug discovery, overcome data challenges, and create life-changing therapies, as well as how these insights can inspire your own innovative pursuits!
Key Points:
Quotes:
“Machine learning in our space is almost never a complete solution. It's a way to augment our chemists [and] our biologists [to] try to make them capable of solving problems that were unsolved before.” — Kfir Schreiber
“One of the best things about DeepCure [is the] very tight collaboration between the domain experts and our machine learning scientists.” — Kfir Schreiber
“Your average machine-learning scientist doesn't have chemistry intuition. We need this feedback and we need to integrate this feedback back into our models to make the predictions make sense.” — Kfir Schreiber
“Focus on the problem, focus on the value, and work your way backwards to the best tools to use.” — Kfir Schreiber
Links:
DeepCure
Kfir Schreiber on LinkedIn
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