The first-of-its-kind three-dimensional convolutional neural network (3D-CNN) tool noninvasively analyses magnetic resonance imaging (MRI) scans from an individual patient to track brain changes with time and measure the pace—P—of brain aging.
However, predicting a single protein structure from its amino acid sequence is like looking at a single frame of a movie—it offers only a snapshot of a highly flexible molecule. Biomolecular Emulator-1 (BioEmu-1) is a deep-learning model that provides scientists with a glimpse into the rich world of different structures each protein can adopt, or structural ensembles
‘One-shot’ approach that uses machine learning to screen immune cells could help to detect conditions with overlapping symptoms.
The AI CUDA Engineer has successfully translated more than 230 out of 250 evaluated PyTorch operations.
Evo 2...provides insights into DNA, RNA and proteins across diverse species.
ReviveMed has created a platform for measuring metabolites — products of metabolism like lipids, cholesterol, sugar, and carbs — at scale. The company is using those measurements to uncover why some patients respond to treatments when others don’t and to better understand the drivers of disease.
The capsule, measuring 18 meters in length and 3.6 meters in diameter, houses more than 400 high-performance servers.
…robot enabled him and his team to perform a complex microsurgical procedure with a higher level of precision and control than conventional methods to operate on micro blood vessels thinner than a human hair.
An artificial-intelligence network trained on a vast trove of sequence data is a step towards designing completely new genomes....Protein language models and other AI tools for protein design have ushered in a bio-design revolution.
Combined approach takes AI-engineered enzymes one step closer to practical applications.