machine

A recent study explores the relationship between brain connectivity and intelligence, highlighting the value of interpretability in predictive modeling for deeper insights into human cognition. Study: Choosing explanation…
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A machine learning (ML) model incorporating both clinical and genomic factors outperformed models based solely on either clinical or genomic data in predicting which patients with hormone receptor (HR)-positive, HER2-negative…
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Sensor data from wearable devices analyzed over five years reveals walking and posture differences that predict fall risk in Parkinson’s patients. Study: Predicting future fallers in Parkinson’s disease using kinematic data…
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Cutting-edge machine learning tools reveal hidden patterns in Alzheimer’s disease mouse behavior, opening the door to innovative treatments targeting neuroinflammation. Study: Machine learning reveals prominent spontaneous…
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Subtle signs of Alzheimer's disease can emerge decades before a diagnosis-;often in the form of irregular behaviors that reflect very early stages of brain dysfunction. But until now, identifying and measuring these slight…
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Some patients with advanced heart failure can benefit from the support of a continuous-flow left ventricular assist device (CF-LVAD) to sustain heart function. However, despite improvements managing complications associated…
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Rheumatoid arthritis is a common disease affecting an estimated 17 million people worldwide. The disease is caused by immune cells attacking the joints and can result in pain, swelling, and damage to the cartilage and bone.…
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Discoveries that impact lifespan and healthspan in fruit flies are usually tested in mice before being considered potentially relevant in humans, a process that is expensive and time intensive. A pioneering approach taken at…
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By monitoring workers' vital signs and movements in real-time, researchers have developed a powerful system to predict fatigue, offering companies a cutting-edge solution for reducing injuries and improving job performance.…
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In a recent study published in the journal Science Advances, researchers in the United States used 3D transport-based morphometry (TBM) to identify and visualize brain changes linked to 16p11.2 genetic copy number variation…
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