Top  5 Ways to Lean Bioinformatics, Computational Biology, Computational Structural Biology, In silico Drug Discovery, Next Generation Sequencing Data Analysis, AI & Machine Learning for Bioinformatics, Data Science using R & Bioconductor, Deep Learning and  Programming for Bioinformatics.

Meet Robin: A Multi-Agent AI Framework for Scientific Discovery

Meet Robin: A Multi-Agent AI Framework for Scientific Discovery

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A team from the University of Oxford and Fordham University published a paper in Nature describing something that sounds like science fiction but is...
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Meet BiOmics: The AI Agent Bridging Data and Biological Meaning

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Biology today produces more data than anyone knows what to do with. Sequencers spit out genomes, single-cell experiments generate massive expression matrices, proteomics platforms...
Mycobacterium tuberculosis Control Switch

Scientists Discover TB’s Metabolic “Control Switch” — A New Target for Tuberculosis Drugs

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The interdisciplinary team, spanning researchers from the University of Surrey, Imperial College London, IISc, and others, discovered Virulence Associated Dikinase (VadK), which evolved from...
ATHENA-R1: A Reinforcement Learning AI Agent for Smarter Drug and Treatment Decisions

ATHENA-R1: A Reinforcement Learning AI Agent for Smarter Drug and Treatment Decisions

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Picking the right treatment for a patient is rarely a one-step decision. A doctor has to think about the disease, the patient's other health...
GeneBench-Pro: Can AI Actually Think Like a Computational Biologist?

OpenAI Unveils GeneBench-Pro to Benchmark AI in Genomics and Translational Medicine

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Here's an uncomfortable question for anyone building AI tools for genomics: can a model tell the difference between a real biological signal and a...