More and more areas of medicine are relying on support from artificial intelligence (AI). This is particularly true for the wide range of questions based on the evaluation of image data: for example, doctors search mammograms ...
Feb 12, 2024
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A team of University of Michigan researchers has developed a multimodal AI model to predict treatment outcomes of tuberculosis (TB) patients. Their analysis of worldwide patient data may lead to personalization of TB treatment.
Feb 12, 2024
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Scientists have developed a new AI tool that maps the function of proteins in a cancerous tumor, enabling clinicians to decide how to target treatment in a more precise way.
Feb 9, 2024
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In a recent study conducted by the Institute of Anatomy, Faculty of Medicine, University of Ljubljana, researchers have provided new insights into the detrimental effects of type 1 diabetes mellitus (T1DM) on skeletal muscle ...
Feb 8, 2024
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A new King's College London scanning study of 390 babies has shown distinct patterns between term and pre-term babies in the moment-to-moment activity and connectivity of brain networks.
Feb 8, 2024
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A suite of filters that can be applied to medical images to help health care professionals with analysis and diagnosis has been developed by an international team of researchers.
Feb 7, 2024
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How many of us recall having to calculate our body-mass index (BMI) as children at school, prompting comparisons of our weight with that of our peers? Or perhaps we remember references to calories and diets in the classroom.
Feb 6, 2024
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EPFL researchers have developed a machine learning approach to compressing image data with greater accuracy than learning-free computation methods, with applications for retinal implants and other sensory prostheses.
Feb 6, 2024
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Up to 72% of women and 61% of men are dissatisfied with their weight or body image, according to a U.S. study. Globally, millions of people attempt to lose weight every year with the hope that weight loss will have positive ...
Feb 2, 2024
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A recent study opens up a novel approach for improving personalized treatments for patients with glioblastoma, one of the most aggressive types of cancer in existence today.
Jan 31, 2024
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