Core Insights - The third annual conference of the China Anti-Aging Promotion Association's Functional Medicine Professional Committee was held in Shanghai, gathering nearly a thousand experts and industry representatives to discuss advancements in functional medicine for chronic disease management and health promotion [1][2]. Company Overview - JD Health's high-end health management channel is based on internationally certified functional medicine and lifestyle medicine principles, aiming to provide systematic health services that address the root causes of health issues rather than just symptoms [1][2]. - The channel features certified functional medicine and lifestyle medicine experts with international perspectives and rich clinical experience, offering comprehensive health consultations and personalized intervention plans [2]. Service Offerings - The health management process includes health information collection, one-on-one expert consultations, personalized testing and intervention plan development, and regular follow-ups, creating a complete health management loop [2]. - The channel specializes in addressing metabolic and organic issues such as diabetes, thyroid nodules, and breast nodules, as well as complex health conditions like ovarian insufficiency, chronic fatigue, anxiety, depression, and gastrointestinal dysfunction [2]. Industry Trends - As public health awareness increases and health needs become more refined, functional medicine is transitioning from theory to clinical application, showcasing broad application prospects [3]. - JD Health plans to leverage its platform advantages and professional team to promote the standardized development and innovative practices of functional medicine in China, helping users achieve proactive and root-cause health management [3].

Core Insights - The 2025 Regenerative Medicine Conference will be held in Dubai on October 24-25, 2025, organized by the American Spine Center in collaboration with the Abu Dhabi Biobank and the American Society for Regenerative Medicine [1] Group 1 - The conference will feature experts from the region and globally discussing the latest advancements in cell research, mitochondrial medicine, functional medicine, and applications of stem cell lasers [1] - Topics of discussion will include innovative methods in beauty treatments, hormone regulation, degenerative joint diseases, and brain disease therapies [1]

Core Viewpoint - The article discusses the challenges and biases associated with AI in the medical field, highlighting how socioeconomic factors can influence the quality of care patients receive, leading to disparities in medical treatment and outcomes [2][3][4]. Group 1: AI and Bias in Healthcare - Recent studies indicate that AI models in healthcare may exacerbate existing biases, with high-income patients more likely to receive advanced diagnostic tests like CT scans, while lower-income patients are often directed to basic checks or no checks at all [2][3]. - The research evaluated nine natural language models across 1,000 emergency cases, revealing that patients labeled with socioeconomic indicators, such as "no housing," were more frequently directed to emergency care or invasive interventions [3]. - AI's ability to predict patient demographics based solely on X-rays raises concerns about the potential for biased treatment recommendations, which could widen health disparities among different populations [3][4]. Group 2: Data Quality and Its Implications - The quality of medical data is critical, with issues such as poor representation of low-income groups and biases in data labeling contributing to the challenges faced by AI in healthcare [8][9]. - Studies have shown that biases in AI can lead to significant drops in diagnostic accuracy, with one study indicating an 11.3% decrease when biased AI models were used by clinicians [6][8]. - The presence of unconscious biases in medical practice, such as the perception of women's pain as exaggerated, further complicates the issue of equitable healthcare delivery [9][10]. Group 3: Overdiagnosis and Its Trends - Research from Fudan University indicates that the overdiagnosis rate for female lung cancer patients in China has more than doubled from 22% (2011-2015) to 50% (2016-2020), with nearly 90% of lung adenocarcinoma patients being overdiagnosed [11]. - The article suggests that simply providing unbiased data may not eliminate biases in AI, as the complexity of medical biases requires a more nuanced approach [11][12]. Group 4: The Need for Medical Advancement - The article emphasizes that addressing overdiagnosis and bias in healthcare is linked to the advancement of medical knowledge and practices, advocating for a shift towards precision medicine [19][20]. - It highlights the importance of continuous medical innovation and the need for sufficient data to clarify the boundaries between overdiagnosis and precision medicine [19][20]. - The integration of AI in healthcare should focus on a holistic approach, considering the interconnectedness of various medical fields to improve patient outcomes [21][22].