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World obesity rate By 2035, over half the global populace could be overweight or obese, leading to a $4.32 trillion yearly cost. WHO study - one in eight people worldwide or one Billion people are now living with obesity Report: Obesity could cost the world over $4 trillion a year by 2035 Is Insulin Resistance Behind Your Weight Gain? - Are you one of the over 40% of adults that are insulin resistant? Learn more...

Latest Health News

Use of AI in healthcare

• Study shows increasing acceptance of AI by physicians

Zepbound approved for sleep apnea

• FDA approves Zepbound for Sleep Apnea

Stat

• They may be ‘miracle’ drugs, but obesity meds call for a team approach

Newsmax

• Weight Loss Drugs Slash Grocery Spending

The Hill

• Pharma giant seeks to join lawsuit against FDA over weight loss drugs

AOL.com

• Drugmakers to raise US prices on over 250 medicines starting Jan. 1

Wellness articles

Physical

Discover the latest articles and trending topics in health and wellness:

• Semaglutide for osteoarthritis - a study published in the New England Journal of Medicine shows benefit of using Semaglutide in treating Osteoarthritis - learn more...
• Intermittent fasting: Learn about the benefits and strategies of intermittent fasting for weight loss and overall health.
• Healthy eating tips: Get expert advice on nutrition, meal planning, and mindful eating to support a balanced diet and weight management.
• A new report from the American Heart Association states that weight-loss drugs should be a first-line treatment for preventing heart disease Learn more...

AI in healthcare

Introduction

GEN AI

Artificial intelligence (AI) has made transformative impacts across various sectors, with tools like ChatGPT and Google Gemini enabling the generation of human-like text and images. These advancements have enhanced industries such as customer service and content creation. However, AI models face a growing concern known as model collapse, which refers to the gradual degradation of model performance, resulting in increasingly unreliable outputs. To combat this, novel approaches such as Retrieval-Augmented Generation (RAG) have been introduced, enhancing AI's ability to generate more accurate and relevant responses by integrating information retrieval techniques.

Retrieval-Augmented Generation (RAG) Model in Healthcare

The Retrieval-Augmented Generation (RAG) model is an advanced artificial intelligence (AI) framework designed to enhance the performance of large language models (LLMs) by combining them with an information retrieval (IR) system. This hybrid model enables LLMs to search and retrieve relevant information from an external corpus or knowledge base, enhancing the quality and relevance of their responses. Learn more

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