Machine learning predicts behavior of biological circuits

Biomedical engineers have devised a machine learning approach to modeling the interactions between complex variables in engineered bacteria that would otherwise be too cumbersome to predict. Their algorithms are generalizable to many kinds of biological systems.

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An artificial skin that can help rehabilitation and enhance virtual reality

Scientists have developed a soft artificial skin that provides haptic feedback and — thanks to a sophisticated self-sensing mechanism — has the potential to instantaneously adapt to a wearer's movements. Applications for the new technology range from medical rehabilitation to virtual reality.

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AI helps scientists predict depression outcomes

Two studies provide evidence for the impact of biology by using artificial intelligence to identify patterns of brain activity that make people less responsive to certain antidepressants. Put simply, scientists showed they can use imaging of a patient's brain to decide whether a medication is likely to be effective.

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Machine learning could offer faster, more precise results for cardiac MRI scans

Cardiac MRI scans can be read by AI (artificial intelligence) 186 times faster than humans, with comparable precision to experts. Because the greatest source of measurement errors are human factors, AI has the potential to improve future clinical decision making.

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Up-close and personal with neuronal networks

Researchers have developed an electronic chip that can perform high-sensitivity intracellular recording from thousands of connected neurons simultaneously. This breakthrough allowed them to map synaptic connectivity at an unprecedented level, identifying hundreds of synaptic connections.

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