AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized ...

From antibiotic resistance to emerging viral threats, the global demand for new medicines is intensifying, yet traditional drug discovery pipelines remain slow and expensive. A new scientific review ...

AI in Pathology Market OverviewThe global AI in pathology market is anticipated to witness robust expansion, growing at an estimated compound annual growth rate of around 26% during the forecast ...

Across neuroscience, biomedical engineering and artificial intelligence, researchers from Carnegie Mellon University are exploring how pain is measured, understood and treated to support safer, more ...

Artificial intelligence is being positioned as a catalytic force in reshaping biomanufacturing, with policymakers, scientists and industry leaders outlining a roadmap that blends computational power ...

What if vaccine development didn’t have to take a decade? This piece looks at how AI is helping scientists ask better ...

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The signals that drive many of the brain and body's most essential functions—consciousness, sleep, breathing, heart rate and motion—course through bundles of "white matter" fibers in the brainstem, ...

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...