{"id":133434,"date":"2024-12-13T13:04:00","date_gmt":"2024-12-13T18:04:00","guid":{"rendered":"http:\/\/kendallharmon.net\/?p=133434"},"modified":"2024-12-14T16:36:48","modified_gmt":"2024-12-14T21:36:48","slug":"sr-scientists-call-for-all-out-global-effort-to-create-an-ai-virtual-cell","status":"publish","type":"post","link":"https:\/\/kendallharmon.net\/?p=133434","title":{"rendered":"(SR) Scientists call for all-out, global effort to create an AI virtual cell"},"content":{"rendered":"\n

Noting that recent advances in artificial intelligence and the existence of large-scale experimental data about human biology have reached a critical mass, a team of researchers from Stanford University<\/a>, Genentech<\/a>, and the Chan-Zuckerberg Initiative<\/a> says that science has an \u201cunprecedented opportunity\u201d to use artificial intelligence (AI) to create the world\u2019s first virtual human cell. Such a cell would be able to represent and simulate the precise behavior of human biomolecules, cells, and, eventually, tissues and organs. <\/p>\n\n\n\n

\u201cModeling human cells can be considered the holy grail of biology,\u201d said Emma Lundberg<\/a>, associate professor of bioengineering and of pathology in the schools of Engineering<\/a> and Medicine<\/a> at Stanford and a senior author of a new article<\/a> in the journal Cell<\/em> proposing a concerted, global effort to create the world\u2019s first AI virtual cell. \u201cAI offers the ability to learn directly from data and to move beyond assumptions and hunches to discover the emergent properties of complex biological systems.\u201d <\/p>\n\n\n\n

Lundberg\u2019s fellow senior authors include two Stanford colleagues, Stephen Quake<\/a>, a professor of bioengineering and head of science at the Chan-Zuckerberg Initiative, and Jure Leskovec<\/a>, a professor of computer science in the School of Engineering, as well as Theofanis Karaletsos, head of artificial intelligence for science at the Chan Zuckerberg Initiative, and Aviv Regev executive vice president of research at Genentech.<\/p>\n\n\n\n

Read it all<\/a>.<\/p>

Towards the #AI<\/a> virtual cell, which would represent one the most extraordinary achievements in life sciencehttps:\/\/t.co\/f4sLd0SBeB<\/a> @CellCellPress<\/a> @StephenQuake<\/a> @czi<\/a> @cziscience<\/a> @_bunnech<\/a> pic.twitter.com\/xi5YNYyaQ7<\/a><\/p>— Eric Topol (@EricTopol) December 12, 2024<\/a><\/blockquote>