Cross-Species Cell Embeddings: AI enhances cell type discovery, identifies previously elusive “Norn cells”
Researchers used an AI system to identify animal cell types from gene sequences, including a cell type that conventional approaches had discovered only in the past year.
Deep Learning Discovers Antibiotics: Researchers used neural networks to find a new class of antibiotics.
Biologists used neural networks to find a new class of antibiotics. Researchers at MIT and Harvard trained models to screen chemical compounds for those that kill methicillin-resistant Staphylococcus aureus (MRSA), the deadliest among bacteria that have...
Protection for Pollinators: AI Could Help Create Pesticides That Don’t Kill Bees
A machine learning method could help chemists formulate pesticides that target harmful insects but leave bees alone. Researchers at Oregon State University developed models that classify whether or not a chemical is fatally toxic to bees.
Deep Doo-Doo: AI App Diagnoses Poop Better Than People
People who suffer from gastrointestinal conditions such as irritable bowel syndrome are number two when it comes to describing the characteristics of their own poop.
Tech Imitates Life, Life Imitates Art: Image Generation Technique Works Pixel By Pixel
The computational systems known as cellular automata reproduce patterns of pixels by iteratively applying simple rules based loosely on the behavior of biological cells. New work extends their utility from reproducing images to generating new ones.
Slime Pays: AI Helps Grow Algae for Renewable Fuel
A new machine learning technique is boosting algae as a renewable, carbon-neural source of fuel for airplanes and other vehicles typically powered by fossil fuels.
Spot the Bad Mutation: AI Model Spots Disease Linked Protein Mutations
Every gene in the human genome exists in a variety of mutations, and some encode protein variants that cause cells to malfunction, resulting in illness. Yet which mutations are associated with disease is largely unknown.
Bugbot: How AI can help with the insect biodiversity crisis.
An insect-sorting robot could help scientists grapple with the global biodiversity crisis. An automated insect classifier sucks in tiny arthropods, classifies them, and maps their most important identifying features.
What AI Knows About Proteins: NLP systems can be used to code amino acids.
Transformer models trained on sequences of amino acids that form proteins have had success classifying and generating viable sequences. New research shows that they also capture information about protein structure.
Algorithms for Orcas: AI-powered drones help with killer whale conservation.
A combination of computer vision and drones could help restore dwindling killer whale populations. Researchers at Oregon State University and conservation groups SR3 and Vulcan developed a system that assesses the health of orcas.
Boosting Biomedicine: The NIH's Bridge2AI program will fund new health datasets.
The U.S. government aims to turbocharge biomedical AI research. The National Institutes of Health, which invests $41.7 billion annually in medical research, announced a program called Bridge to Artificial Intelligence (Bridge2AI) to promote machine learning in human biology and medicine.
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