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Researchers discover way to predict treatment success for parasitic skin disease

Findings from a new UMD-led study could help doctors select more effective treatments earlier for patients suffering from leishmaniasis, a disfiguring skin infectionPeer-Reviewed Publication University of Maryland FacebookXLinkedInWeChatBlueskyMessageWhatsAppEmail image:  A closeup of leishmaniasis. view more  Credit: David Mosser Nearly one million people worldwide are plagued annually by cutaneous  leishmaniasis, a devastating skin infection caused by the Leishmania parasite. Predominantly...

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Cardioprotective glucose-lowering agents and dementia risk

JAMA NeurologyPeer-Reviewed Publication JAMA Network FacebookXLinkedInWeChatBlueskyMessageWhatsAppEmail About The Study: While cardioprotective glucose-lowering therapies were not associated with an overall reduction in all-cause dementia, this meta-analysis of randomized clinical trials found that glucose lowering with glucagon-like peptide-1 receptor agonists (GLP-1RAs) was associated with a statistically significant reduction in all-cause dementia. Corresponding Author: To contact the corresponding author, Catriona...

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The brain’s own repair mechanism: New neurons may reverse damage in Huntington’s disease

by University of Rochester Medical Center Graphical abstract. Credit: Cell Reports (2025). DOI: 10.1016/j.celrep.2025.115440 New research shows that the adult brain can generate new neurons that integrate into key motor circuits. The findings demonstrate that stimulating natural brain processes may help repair damaged neural networks in Huntington’s and other diseases. “Our research shows that we can encourage the...

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SCIENCE & TECHNOLOGY NEWS

AI to screen for language and speech disorders among children Posted Today University at Buffalo-led research team addresses nationwide shortage of speech-language pathologists. A 5-year-old wearing headphones is instructed by a prerecorded voice to repeat what they hear word for word. Such a test, called sentence recall, measures auditory processing, memory and language skills. Image credit:...

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AI tool can track effectiveness of multiple sclerosis treatments

by University College London Credit: Pixabay/CC0 Public Domain A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses mathematical models to train computers by using massive amounts of data to learn and solve problems in...

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Breakthrough provides potential for precise melanoma treatment

by University of Otago Targeted methylation sequencing in order to validate the 850K methylation data. Credit: Cancer Letters (2025). DOI: 10.1016/j.canlet.2025.217638 A major step forward has been made in predicting how well melanoma patients would respond to treatment, thanks to world-leading University of Otago—Ōtākou Whakaihu Waka research. More than 7,000 melanomas are diagnosed each year in Aotearoa New...

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Full recovery after a child’s concussion may take longer than previously thought

by Justin Jackson , Medical Xpress Credit: Unsplash/CC0 Public Domain University of Montreal-led research has found that children who sustain concussion may need three months or longer to be considered optimally recovered across physical, cognitive, socioemotional, and resilience domains. Concussion affects millions of children annually, leading to physical, cognitive, sleep, and emotional symptoms which can...

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Alternative approach to Lyme disease vaccine development shows promise in pre-clinical models

by Joseph Caputo, Tufts University The X-ray structure of CspZ-YA and the mutagenesis of amino acid residues in CspZ-YA by structure-based vaccine design. Credit: Nature Communications (2025). DOI: 10.1038/s41467-025-58182-x Meeting the unmet need for a vaccine is the top priority for researchers studying Lyme disease, which infects about 476,000 people in the U.S. each year and can come...

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Is AI in medicine playing fair? Researchers stress-test generative models, urging safeguards

by The Mount Sinai Hospital A new study raises concerns regarding responsible AI in health care. Researchers at the Icahn School of Medicine at Mount Sinai found that AI models can make different treatment recommendations for the same medical condition based on a patient’s socioeconomic and demographic background. This highlights the need for safeguards to ensure...

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New findings on T cell exhaustion: The body prepares early for mild to severe disease

by Anja Lapac, Technical University Munich Cells similar to memory precursor T cells and to exhausted precursors exist early in acute infection. Credit: Nature (2025). DOI: 10.1038/s41586-024-08451-4 Even in the case of uncomplicated infections, the body prepares itself early on for the possibility of a more severe course. A research team from the Technical University of Munich (TUM)...