In this detailed piece, Scientific American's David H. Freedman examines emerging strategies to extend healthspan. The article outlines how therapies like rapamycin and senolytic drugs, combined with AI-driven insights, delay aging. For instance, advanced screenings reshape preventive care, offering promising real-world applications.

Matt Kaeberlein, CEO of Optispan, details a forward-thinking healthcare model on Scientific American. He explains how embracing nutritional, exercise, sleep, and social pillars can shift care from reactive fixes to proactive prevention, offering a practical strategy for extending healthy longevity.

A study by Runze Li and colleagues demonstrates AI’s role in gastric cancer management. Using deep learning and radiomics, the research highlights enhancements in early detection and personalized treatment. The work offers a modern example of digital technology transforming oncology and streamlining clinical workflows.

Silicon Valley’s robust investment in anti-aging technologies is reshaping our future. ET Now Digital reports that pioneers like Altos Labs, backed by billionaires, are driving breakthroughs in cellular reprogramming and senolytics. Their work offers a glimpse into extended, healthier lives while raising concerns about equitable access.

A recent study from Nature Scientific Reports presents a machine learning-based diagnostic model for PCOS. By analyzing hormonal markers like AMH, LH, and testosterone, the logistic regression model achieved an impressive AUC. This approach could improve early diagnosis in clinical settings.

Exploring ways to slow aging, Dr. Chinta Sidharthan outlines five biohacking strategies that recalibrate our biological clocks. The article presents lifestyle tweaks such as intermittent fasting and cold exposure as practical examples to stimulate cellular repair and reduce inflammation, offering actionable insights for balanced longevity.

Gabriel Falcão’s article details a comprehensive framework for AI regulation. Setting explicit protocols, the text distinguishes between human-interactive and autonomous neural networks, underscoring the importance of cybersecurity and ethical governance. This regulatory structure not only addresses cross-platform data segregation but also emphasizes responsibility among service providers, reflecting emerging challenges in digital technology.

Explore how AI, especially machine learning and generative AI, is transforming business practices. Kogod School of Business shares insights and practical examples through its updated curriculum. The article illustrates real-world applications that prepare students for digital challenges.

A recent study by Wang Tingting and team at Scientific Reports analyzed how factors such as maternal home renovations, repeated antibiotic treatments, and extended exclusive breastfeeding influence atopic dermatitis risk in preschoolers. The research, employing machine learning, provides a data-driven look at these associations and hints at novel preventive strategies.