MedTech News

.................... by Andrew Celentano

Synthetic tumor data helps AI improve long-read cancer mutation detection

A research team at The University of Hong Kong (HKU), has developed ClairS—a deep-learning algorithm that significantly improves the detection of cancer mutations using long-read sequencing. Tested on breast cancer, lung cancer and melanoma cell line datasets, ClairS has demonstrated high accuracy across various cancer types and sequencing conditions.

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Sweat-powered fingertip patch accurately monitors Parkinson’s medication

Engineers and neuroscientists at the University of California San Diego have developed a soft, wearable fingertip patch that continuously tracks a patient’s Parkinson’s disease medication levels through sweat. The device operates using chemicals in the patient’s sweat—no batteries required. Its measurements were comparable to those obtained by standard laboratory blood tests.

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Stretchable antenna keeps wearable health sensors in tune with human health

Wearable health monitors are designed to move with the body. But for many devices, movement creates a problem: The more a person bends, stretches, reaches or runs, the harder it can be for the device to keep a stable wireless connection. Penn State researchers and international collaborators set out to solve that problem by developing a soft, stretchable antenna that can keep working even when pulled in different directions. The work, published in Nature Communications, could help make wearable health monitors more reliable during everyday activity.

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