Researchers at Technische Universität Berlin have discovered that teaching Large Language Models (LLMs) to mimic human intuition and reasoning significantly improves their ability to provide accurate medical care-seeking advice.

Robot-assisted laparoscopic surgeries are abdominal or pelvic surgeries that use a small camera inserted through a small incision, and photoacoustic imaging directs lasers deep into the tissue, which absorbs the light and produces sound waves. These sound waves can be picked up by ultrasensitive microphones and used to pinpoint subsurface structures like blood vessels and nerve bundles. Kai Zhang will present his work integrating photoacoustic imaging into robot-assisted surgeries as part of the 190th ASA Meeting.

A computational method combining generative AI with atomistic simulations can identify promising platinum alloy catalyst structures for hydrogen fuel cells, report researchers from Science Tokyo. Their approach addresses a longstanding challenge in catalyst design and consistently produces high-performing candidates from several material combinations.

CAMBRIDGE, Mass. - April 29, 2026. Researchers at the Massachusetts Institute of Technology have introduced Bioinspired123D, a generative AI system that translates plain-English design descriptions into executable 3D geometries inspired by biological materials, from crab exoskeletons to horse hoof walls. The work, published in AI for Science, shows that controllable, high-fidelity 3D generation for scientific design does not require massive 3D foundation models.

Developed by graduate student Rachel K. Luu and Professor Markus J. Buehler in MIT's Laboratory for Atomistic and Molecular Mechanics (LAMM), the system departs from mainstream text-to-3D methods that rely on meshes, voxels, or point clouds. Instead, Bioinspired123D generates compact Blender Python scripts — programs that, when executed, produce parametric, smooth, and fabricable structures. This "code-as-geometry" representation makes the resulting designs interpretable, editable, and ready for downstream simulation or 3D printing.

"Biological materials encode an extraordinary amount of design intelligence in their geometry - helicoidal plies in stomatopod clubs, gradient porosity in horse hooves, cellular cores in bird beaks," said Buehler, the McAfee Professor of Engineering at MIT and senior author of the paper. "We wanted to build a system that can take that intuition, expressed in natural language, and turn it directly into structures you can fabricate, without needing a supercomputer to do it."

Implanting a device into the deep temporal cortex of a mouse without damaging the brain has long been a major challenge in neuroscience research. A team at Meijo University and Dokkyo Medical University has now overcome this barrier with a flexible sheet thinner than a human hair that slides into place without penetrating the brain.