Mushroom study expands knowledge of natural bitter compounds – new highly effective bitter compound identified
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Updates every hour. Last Updated: 6-Oct-2025 21:11 ET (7-Oct-2025 01:11 GMT/UTC)
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.
Mobile health technologies, such as wearable devices, mobile health apps and telehealth or remote coaching, have shown potential to help people start and maintain heart-healthy behaviors, such as eating a healthy diet, increasing physical activity, quitting smoking, monitoring sleep and more. People impacted by adverse social drivers of health, such as lower socioeconomic status, insufficient health care access, housing instability and/or low-income communities, may face barriers accessing cost-effective health technologies.
As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may recommend different treatments for the same medical condition based solely on a patient’s socioeconomic and demographic background. Their findings, which are detailed in the April 7, 2025 online issue of Nature Medicine [DOI: 10.1038/s41591-025-03626-6], highlight the importance of early detection and intervention to ensure that AI-driven care is safe, effective, and appropriate for all.