Alzheimer’s disease (AD) — a neurodegenerative disorder — comes with a significant socioeconomic burden. Recent studies have found a strong association between AD and metabolic syndrome (MetS), a cluster of conditions that include diabetes, obesity, high blood pressure, and abnormal blood fat levels. In a recently published literature review article, researchers explore the link between AD and each individual component of MetS, analyzing the potential underlying mechanisms at cellular and molecular levels.

Heat stroke poses a significant health risk, especially during extreme temperature conditions. While social media posts have demonstrated potential for detection of infectious diseases, its reliability remains a challenge. Now, researchers from Japan demonstrate the potential of combining social media posts and deep learning models for early detection of heat stroke risks. This approach opens up new possibilities for leveraging real-time data in event-based surveillance, enabling timely detection and response to heat stroke threats.

Researchers at HSE University and the London School of Hygiene and Tropical Medicine have identified 15 key motives that drive human behaviour. By analysing people's views, preferences, and actions through an evolutionary lens, they demonstrated how these motives intertwine to shape habits and interpersonal relationships. The findings have been published in Personality and Individual Differences.