The front page of AI-driven biology
Thursday, October 15, 2026Thu, Oct 15
Updated 7:01 PM PT
Illumina announced the launch of BioInsight, a unified software suite that combines its multiomics analytics, artificial intelligence tools, and biological datasets.
Neuroscientists developed LightSuite, an open-source image-processing framework that automates large-scale 3D anatomical alignment and single-cell detection across the central nervous system.
Researchers have released MassNet, an AI-ready training dataset containing 1.5 billion tandem mass spectrometry spectra across 35 species, stored in a tensor format designed for deep learning.
A new open-source simulator called ALBIS generates synthetic spatial transcriptomics datasets from simulated 3D tissues, providing an explicit molecular ground truth for benchmarking spatial analysis algorithms.
Developers restructured the pairwise structural comparison algorithms in the macromolecular docking suite HADDOCK3 into continuous GPU tensor operations.
Researchers built a deep-learning model called InfluProto that evaluates the cross-species transmission risk of influenza A by framing host adaptation on a continuous spectrum rather than as rigid categories.
Researchers have released Tangermeme, an optimized computational package designed to interpret the complex regulatory logic learned by genomic deep-learning models.
The Advanced Research Projects Agency for Health introduced Surpass, a program using predictive computational modeling, shared trial infrastructure, common controls, and real-time analysis to modernize clinical trials.
Researchers released a standalone desktop application for intelligent Differential Mobility Spectrometry, a deep learning tool that automates parameter tuning for distinguishing nearly identical lipid molecules.
Researchers built NuCaliby, a structure-conditioned generative model that designs protein amino-acid sequences together with their corresponding DNA and mRNA nucleotide sequences.
Xaira Therapeutics unveiled X-Design, its generative artificial intelligence platform built to design drug-ready antibodies from scratch, along with two early preclinical pipeline candidates.
Abbott has initiated the U.S. commercial launch of SimpleScreen CRC, an FDA-approved blood test developed and manufactured by Freenome for average-risk adults aged 45 and older.
Computational biologists developed SCITRAM, a desktop tool that infers gene regulatory networks from single-cell RNA sequencing and simulates transcription factor activation cascades to identify master control proteins.
Seattle-based Talus Bioscience has unveiled Ptarmigan-1, an AI tool designed to predict small-molecule binding sites directly across disordered and unstructured human proteins.
The Department of Health and Human Services has unveiled SURPASS, a five-year program run by the Advanced Research Projects Agency for Health to speed up clinical trials using artificial intelligence and computational modeling.
Researchers built CellMSA, a single-cell foundation model that borrows the concept of multiple sequence alignments in proteins to capture gene relationships across different cell types and batches.
The Fusion2AI framework uses large language models to synthesize fragmented functional descriptions into standardized English annotations, Gene Ontology terms, and Enzyme Commission numbers for approximately 100,000 uncharacterized bacterial protein groups.
TxCyto uses deep learning to estimate the signaling activity of 645 cytokines, which are immune signaling proteins, directly from standard RNA sequencing data rather than direct laboratory measurement.
Researchers built NexuST, a biological foundation model that interleaves gene-level patterns with tissue-level spatial context during pretraining.
BiomiX 3.0 adds four integration methods to its biological data analysis platform, including PRAMIGO, a new supervised model that uses graph neural networks to connect different molecular measurement layers.
CheckAMG combines standard functional annotation with a fine-tuned genomic language model to find auxiliary viral genes, which phages and other viruses use to rewire host metabolism, physiology, and regulation.
ProteoScopeR is an open-source R package and Shiny web tool designed to run reproducible method comparisons across quantitative mass spectrometry datasets.
Chemists at New York University created an open-source machine learning model called Tautomer-Predictor to determine the most stable structural forms of drug candidates by predicting hydrogen atom positions.
Anthropic has launched its newest frontier model, Opus 5.5, which cuts output token pricing to $20 per million tokens compared to $25 for its predecessor.
The National Institutes of Health released a pilot tool called Linked Discoveries to help scientists track citations, topic connections, and reproducibility across PubMed papers.
Researchers developed ARCHER-LD, a multi-GPU tool coded in Python using CuPy that computes genetic correlation matrices, known as linkage disequilibrium, across millions of DNA variants.
The Steinegger lab released version 3 of the Big Fantastic Virus Database, expanding its collection of ColabFold-predicted viral protein structures to 5,776,417 models across UniProt sequences.
Anthropic has set up a physical biology laboratory to run wet-lab experiments that validate predictions made by its artificial intelligence models, life sciences head Eric Kauderer-Abrams told Reuters.
An update to the open-source ModelSEED Biochemistry Database expands the resource to approximately 46,000 compounds and 56,000 mass- and charge-balanced reactions for whole-cell metabolic modeling.
MicroClaw is an artificial intelligence assistant designed to plan and execute automated imaging experiments across multiple microscope platforms using natural language prompts.