AI agent operates laboratory microscopes through natural language
MicroClaw is an artificial intelligence assistant designed to plan and execute automated imaging experiments across multiple microscope platforms using natural language prompts.
Open-source Python software tracks neuron branch remodeling across four-dimensional microscopy
Researchers introduced Dynamo, an open-source Python tool designed to reconstruct, register, and track changes in branching neuronal dendrites and axons across time-lapse imaging series.
Graph-based representation handles missing values in clinical records
Researchers released POME, a self-supervised model that creates low-dimensional numerical representations for messy patient records characterized by mixed data types and missing values.
Adversarial random forests generate synthetic high-dimensional omics data
A new generative method called high-dimensional adversarial random forests (h-ARF) synthesizes tabular molecular profiles to supplement small biological sample cohorts from hard-to-access tissues.
Random data splits mislead single-cell machine learning benchmarks
A computational study showed that splitting single-cell datasets randomly between training and test sets leaks labels through related clonal sisters, patient backgrounds, or experimental batches.
Therna releases synthetic gene atlas measuring 60,000 regulatory elements
Therna Biosciences has released public datasets from its Chronos platform profiling roughly 60,000 synthetic regulatory elements across approximately 50 pooled cell lines.
Expanded RNA-binding database adds 3D pocket shapes and affinity data
Researchers released HARIBOSS++, an updated structural database and web platform cataloging small molecules that bind RNA.
Tree-aware DNA language model outperforms classical evolutionary methods in variant effect prediction
Researchers introduced GPN-Star, a genomic foundation model that integrates whole-genome alignments and evolutionary species trees across vertebrate, mammal, and primate lineages.
Virtual cell model maps dynamic protein shifts across 38 million measurements to predict drug response
Scientists developed ProteinTalks, an operational virtual cell model pretrained on more than 38 million time-resolved protein abundance measurements from perturbed breast cancer cell lines.
Self-supervised foundation model decodes mass spectrometry data
InstaNovo-FM is a self-supervised transformer model for bottom-up proteomics trained to interpret peptide mass fragmentation spectra across varying lab instruments and protocols.
AtlasFold predicts protein and complex structures without sequence alignments
AtlasFold is an open-source protein structure prediction model that generates three-dimensional atomic coordinates directly from single protein sequences without requiring evolutionary multiple-sequence alignments.