Artificial Intelligence in Drug Discovery

On this episode, I speak with Mauro Cozzi, co-founder of Researchably ( www.researchably.com ). Researchably is a biomedical search engine that uses artificial intelligence to save researchers time—Mauro says up to 90%—searching for scientific papers. I spoke with Mauro about how Researchably got started, how it helps researchers find relevant literature faster, and the challenges they’re working to overcome to continue their growth.

This episode is brought to you by BenchSci ( www.benchsci.com ). BenchSci uses artificial intelligence to reduce the cost of scientific experiments. Use it to find research antibodies up to 24x faster than using PubMed or Google Scholar. Just enter a protein of interest and filter by technique, organism, tissue, or 12 other options. BenchSci returns only relevant published figures and products. It’s free for academic researchers. Work in industry? Request a demo at www.benchsci.com.

For the inaugural episode of Artificial Intelligence in Drug Discovery, I spoke with Dekel Gelbman, CEO of FDNA ( https://www.fdna.com/ ). FDNA enables precision medicine by using artificial intelligence for next-generation phenotyping. Their technology links genetic traits with phenotypic characteristics such as facial structure. Listen now to learn what inspired the technology, the problems it solves, how it can help in the drug discovery process, and where FDNA plans to take it.

This episode is brought to you by BenchSci ( https://www.benchsci.com ). BenchSci uses artificial intelligence to reduce the cost of scientific experiments. Use it to find research antibodies up to 24x faster than using PubMed or Google Scholar. Just enter a protein of interest and filter by technique, organism, tissue, or 12 other options. BenchSci returns only relevant published figures and products. It’s free for academic researchers. Work in industry? Request a demo at https://www.benchsci.com.