A new University of California San Diego School of Medicine study offers a unified biological model to explain how genetic predispositions and environmental exposures converge to cause autism spectrum ...
A new University of California San Diego School of Medicine study offers a unified biological model to explain how genetic predispositions and environmental exposures converge to cause autism spectrum ...
Are artificial neurons underestimating the power of their biological models? Ten years after initial theoretical predictions, researchers have demonstrated that an isolated biological neuron can ...
Top Left: A small blood sample is analyzed to measure 22 key steroids, and the data is fed into an AI system to calculate biological age. Top Right: The AI-predicted biological age (BA) shows a ...
Researchers at the Arc Institute, Stanford University, and NVIDIA have developed Evo 2, an advanced AI model capable of predicting genetic variations and generating genomic sequences across all ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
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Urine-based microRNA clock predicts biological aging without a blood test
Researchers developed and validated a non-invasive urinary microRNA aging clock using extracellular vesicle miRNAs from more than 6,000 adults. The model predicts age with about 4 to 5 years error and ...
Concerns over the biosecurity risks posed by artificial intelligence (AI) models in biology continue to grow. Amid this concern, Doni Bloomfield and colleagues argue, in a Policy Forum, for improved ...
AI will unlock nearly limitless potential in biology. . . . At the same time, it could create new pathways for malicious actors to synthesize harmful pathogens and other biomolecules. — America’s AI ...
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