Eli Lilly & Novartis are entering a strategic research collaboration with Isomorphic Labs to use state-of-the-art AI technologies—including the next-gen model of #AlphaFold—to discover novel small molecule therapeutics for select biological targets.

We are reimagining the entire drug discovery process from first principles with an AI-first approach.

The survival strategies employed by one of the most aggressive, territorial and venomous ant species may pave the way to revolutionize robotics, medicine and engineering.

Fire ants survive floods by temporarily interlinking their legs to create a raft-like structure, allowing them to float collectively to safety as a unified colony and then releasing to resume their individual forms.

Drawing inspiration from this natural process, researchers at Texas A&M University discovered a method that allows synthetic materials to mimic the ants’ autonomous assembly, reconfiguration and disassembly in response to environmental changes such as heat, light or solvents.

Machine learning and laboratory experiments have provided scientists with insights into the different languages bacteria use to communicate. By understanding the ways in which bacteria interact and the circumstances under which their communication is disrupted, researchers can tackle issues related to drug-resistant bacteria and advance the development of biocomputing technologies.

The study builds on an earlier project in which the researchers showed that disrupting bacterial communication is an effective way to fight multidrug-resistant bacteria. Bacteria use small molecules to communicate with each other and coordinate infection, and the team showed that interfering with bacterial communication by blocking these molecules reduced inflammation and made the bacteria more vulnerable to antibiotics.