Category Health/Medical

Researchers enhance Alzheimer’s disease classification through AI

Better detection of the disease may lead to earlier treatment, opportunity to participate in clinical trials. Warning signs for Alzheimer’s disease (AD) can begin in the brain years before the first symptoms appear. Spotting these clues may allow for lifestyle changes that could possibly delay the disease’s destruction of the brain.

“Improving the diagnostic accuracy of Alzheimer’s disease is an important clinical goal. If we are able to increase the diagnostic accuracy of the models in ways that can leverage existing data such as MRI scans, then that can be hugely beneficial,” explained corresponding author Vijaya B. Kolachalama, PhD, assistant professor of medicine at Boston University School of Medicine (BUSM).

Using an advanced AI (artificial intelligence) framework based on...

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Quadruple Fusion Imaging via Transparent Ultrasound Transducer

A quadruple fusion optical and ultrasound imaging system has been developed that allows diagnosis of eye conditions or tumors or to see the environment inside the body using a transparent ultrasound transducer.

Professor Chulhong Kim of POSTECH’s Department of Electrical Engineering, Convergence IT Engineering, and Mechanical Engineering, Dr. Byullee Park of Department of Convergence IT Engineering, Ph.D...

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The Bald Truth: Altered Cell Divisions cause Hair Thinning

Schematic model of the distinct types of stem cell divisions determine HF homeostasis and aging.
Young HFSCs undergo symmetric cell divisions (SCDs) and asymmetric cell divisions (ACDs) to generate new bulge cells for their self-renewal and expansion. Whereas aged HFSCs provoke hemidesmosomal instability including COL17A1 and undergo stress response (SR) type ACDs to induce epidermal differentiation that triggers their delamination, thereby causing stepwise miniaturization of HFs and hair thinning and loss.

Researchers have identified a novel mechanism underlying hair thinning and loss during aging...

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Pick up the pace! Slow Walkers Four Times more likely to Die from COVID-19, study finds

Slow walkers are almost four times more likely to die from COVID-19, and have over twice the risk of contracting a severe version of the virus, according to a team of researchers from the National Institute for Health Research (NIHR) Leicester Biomedical Research Centre led by Professor Tom Yates at the University of Leicester.

The study of 412,596 middle-aged UK Biobank participants examined the relative association of body mass index (BMI) and self-reported walking pace with the risk of contracting severe COVID-19 and COVID-19 mortality.

The analysis found slow walkers of a normal weight to be almost 2.5 times more likely to develop severe COVID-19 and 3.75 times more likely to die from the virus than normal weight fast walkers.

Professor Yates, Lead Researcher for the stud...

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