A recent study by the Laboratory for Neuro-Analysis and Imaging (LANAI) at UMass Chan Medical School highlights how ...

Dividing patients into groups based on how they behave towards their condition can aid understanding of the issues that affect them and improve outcomes, such as quality of life in long-term ...

Alicia is a former Editor at Forbes Advisor specialising in loans Caroline Basile is Forbes Advisor’s student loans and mortgages deputy editor. With experience in both the mortgage industry and as a ...

I’ve been working with computers for ages, starting with a multi-year stint in purchasing for a major IBM reseller in New York City before eventually landing at PCMag (back when it was still in print ...

Medical research involves research in a wide range of fields, such as biology, chemistry, pharmacology and toxicology with the goal of developing new medicines or medical procedures or improving the ...

Abstract: The effectiveness and robustness of medical image segmentation algorithms inextricably depends on the quality and quantity of training data. Insufficient data continually restricts model ...

In a new study published in Liver Research, a team of researchers in China discovered that nicotinic acid-a common form of vitamin B3-can dramatically reduce liver damage caused by ...

Abstract: With the assistance of large language models, which offer universal medical prior knowledge via text prompts, state-of-the-art Universal Models (UM) have demonstrated considerable potential ...

Overview of VeloxSeg. VeloxSeg employs an encoder-decoder architecture with Paired Window Attention (PWA) and Johnson-Lindenstrauss lemma-guided convolution (JLC) on the left, using 1x1 convolution as ...

The FDA has approved inebilizumab-cdon (Uplizna, Amgen) for adults with anti-acetylcholine receptor and anti-muscle specific tyrosine kinase antibody positive generalized myasthenia gravis, according ...

A deep learning system for medical image segmentation using U-Net and Vision Transformer architectures. This project focuses on segmenting medical images (MRI, CT scans) for diagnosing conditions like ...