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Submit ReviewWhat is the Role of Artificial Intelligence in Drug Development and Drug Discovery?⭐ In this episode, we talk about:
Today’s speaker is Marco Schmidt, CSO of Biotx.aiMarco had an exceptional academic career. He won the best PhD of the year award in Chemistry in his home country Germany and then went on to do a Post-Doc at the University of Cambridge.⭐ EPISODE Links:Marco Schmidt on Linkedin Youtube 📖 Quotes:(24:45) “Eroom's law is the observation that drug discovery is becoming slower and more expensive over time”(56:05) “We need more data”(58:13) “Biobanks provide the infrastructure that we really need in the future”(01:16:39) “Prediction Models of Type 2 Diabetes Have 99% Accuracy”(01:17:50) “There is no longevity gene. There are shortevity genes.”(01:53:45) “We are living in fantastic times” ⏰ Timestamps:(00:00) Kick Off and Intro(06:15) Deep Mind’s Alphafold(07:06) Background to Marco Schmidt and Biotx.ai (12:00) Business Model in AI for Drug Development – from Service Provider to Developer(13:15) Basic Definition of Drug Discovery and Drug Development for the Listeners of the Episode(17:20) For Retail Investors who have an eye on investing in public drug development companies: What is a Ligand?(20:09) Why is Drug Discovery Expensive and Lengthy?(23:30) Success and Failure Rate in Drug Development(24:30) What is erooms Law?(27:25) What is the right place for innovation? Startups or Big Corporations?(30:00) The Value Chain in the Pharma Industry – From Research to Marketed Products.(34:00) Investing in Life Science Companies(50:15) Why is Artificial Intelligence an Attractive Area?Speaker and Company(55:00) The State of AI in Drug Development and Drug Discovery – What is Science and What is Still Fiction.(58:00) Accessibility of Data – Is this the bottleneck in Artificial Intelligence Based Drug Discovery?(01:10:00) What would change in Drug Development if scientists could access healthy population data?(01:12:30) Prediction Models for Cancer, Alzheimer, and other
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