Oura Ring Integrates with Dexcom’s Stelo CGM for Enhanced Metabolic Health Tracking
Oura Ring and Dexcom’s Stelo CGM collaborate for improved metabolic health tracking, offering meal insights and glucose data. ππ½οΈ
May 7, 2025
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Discover the newest research about AI innovations in π₯ Nutrition.
Trends in the applications of artificial intelligence in fatty liver diseases.
AI’s role in fatty liver disease: 270 studies reveal diagnostic advancements, personalized therapies, and gene analysis potential. ππ§¬
May 2, 2025
Predicting Weight Loss Success After Gastric Sleeve Surgery: A Machine Learning-Based Approach.
Machine learning predicts weight loss success post-gastric sleeve surgery with 88% accuracy. Key factors: potassium, BMI, depression scores. ππ‘
April 27, 2025
A Scoping Review of Artificial Intelligence for Precision Nutrition.
Artificial intelligence is transforming precision nutrition. π€π Recent studies highlight its potential and address cultural factors.
March 3, 2025
New Self-Referral Service for NHS Weight Loss Medication Management
New NHS self-referral service for weight loss medications aims to manage rising demand. Over 375 patients registered already. ππ
January 27, 2025
Development of a clinical prediction model for benign and malignant pulmonary nodules with a CTRββ₯β50% utilizing artificial intelligence-driven radiomics analysis.
AI-driven model enhances diagnosis of pulmonary nodules. π€π Study shows promise in distinguishing benign from malignant cases.
January 21, 2025
Health Tech Insights: Expectations for 2025
Health Tech Insights: Expectations for 2025 π
Anticipation grows for NHS digital health advancements, focusing on data-driven care, integrated systems, and AI innovations. π₯β¨
January 2, 2025
Optimizing adult-oriented artificial intelligence for pediatric chest radiographs by adjusting operating points.
AI optimization for pediatric chest radiographs enhances diagnostic accuracy. Study reveals tailored operating points improve sensitivity. ππΆ
December 29, 2024
The factors affecting aerobics athletes’ performance using artificial intelligence neural networks with sports nutrition assistance.
Exploring how AI and nutrition enhance aerobics athletes’ performance. π€π₯ Review of recent findings from Sci Rep.
December 17, 2024
Automatic localization and deep convolutional generative adversarial network-based classification of focal liver lesions in computed tomography images: A preliminary study.
A new study reveals a deep learning system for accurately diagnosing liver lesions in CT images. π€π©»
November 15, 2024