Helmholtz Pioneer Campus - Podcast Series
> Helmholtz Pioneer Campus researchers Fabian Theis [https://eur05.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.pioneercampus.org%2Fthemenmenue-rechts%2Fnews%2Fnews%2Farticle%2F30913%2Findex.html&data=05%7C02%7Calmut.barden%40helmholtz-munich.de%7Cc468a68c3d0841d664dd08dc642f50e1%7Ce229e4931bf240a79b8485f6c23aeed8%7C0%7C0%7C638495401592626266%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=BXHgCXxsHWueJmS%2BxOF9Cvew1h2%2F6yz%2FKC9o9pisZbI%3D&reserved=0] and Paolo Casale [https://eur05.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.pioneercampus.org%2Fthemenmenue-links%2Fabout-us0%2Fprincipal-investigators%2Ffrancesco-paolo-casale%2Findex.html&data=05%7C02%7Calmut.barden%40helmholtz-munich.de%7Cc468a68c3d0841d664dd08dc642f50e1%7Ce229e4931bf240a79b8485f6c23aeed8%7C0%7C0%7C638495401592637307%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=dNuirEJaU7Ry%2BCQfvRRueYJ1zXQUF7lRsxozSm0zX7g%3D&reserved=0] discuss how Artificial Intelligence and Machine Learning are changing biology and medicine. The emerging computational tools are undeniably valuable in organizing the vast amounts of data modern Biology generates – and predicting outcomes with an accuracy that often surpassess human experts. But can AI also help us understand biological processes? Cambridge University Professor Mihaela van der Schaar [https://eur05.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.vanderschaar-lab.com%2F&data=05%7C02%7Calmut.barden%40helmholtz-munich.de%7Cc468a68c3d0841d664dd08dc642f50e1%7Ce229e4931bf240a79b8485f6c23aeed8%7C0%7C0%7C638495401592645267%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=WV%2Br8BBnwcYEsCbMlliOGx4J5mYZKreinAcUIDJKgN4%3D&reserved=0] gives her perspective on the interpretability problem; she also talked about how we can make the field more inclusive and the importance of collaborating with researchers outside of traditional STEM disciplines. It’s biomedical AI, from clinical diagnostics and cell atlases to a new understanding of biology and disease.
4 episodes
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