The front page of AI-driven biology
Thursday, October 15, 2026Thu, Oct 15
Updated 6:32 PM PT
The FDA has extended its review period for Novo Nordisk's hemophilia A treatment Frehemgo while manufacturing site corrections are addressed.
Researchers built MOSAIC, an algorithm that converts complex biological graphs into compact coordinates by accumulating diffusion steps across the network rather than relying on standard eigenvalue sorting.
Computational biologists created Kidzoi by fine-tuning the Borzoi sequence-to-function model on single-nucleus chromatin accessibility data from human kidney tissue.
A deep-learning model named DeepND classified nucleosomal from linker DNA across the genome to reveal how spooling around histone proteins alters mutation and methylation rates.
A geometric diffusion model called Zephyr samples conformational ensembles of intrinsically disordered proteins directly from sequence, bypassing the need for slow physics simulations.
Using phage display immunoprecipitation sequencing on 1,268 plasma samples from 695 lupus patients and 301 controls, researchers applied machine learning to define an expanded profile of linear autoantibody targets.
Researchers combined high-content imaging of patient-derived human liver organoids with machine learning to identify drugs that cause liver injury, classifying 54 known hepatotoxicants and 20 non-toxic controls.
A computational benchmark evaluated ten large language models on linking 5,861 compounds from the ChEMBL database to 14 adverse outcome pathways spanning five neurodevelopmental toxicities.
Researchers developed G4SCOPE, a convolutional and transformer neural network that predicts the chromatin occupancy of four-stranded DNA structures known as G-quadruplexes straight from primary sequence.