Researchers have proposed a new conceptual framework called “Health Elements” that positions digital technologies and AI as core structural drivers of health alongside biological, behavioral, social, and environmental factors. Published in Health Data Science, the framework argues that health outcomes emerge from dynamic interactions across multiple domains rather than from isolated risk factors alone. The study reflects growing recognition that digital systems—including algorithms, wearable devices, AI-enabled diagnostics, and health data infrastructures—are increasingly shaping health behaviors, access to care, and population-level outcomes.

The authors also discuss how multimodal health data integration, complex systems science, and AI-based analytical methods could support more adaptive public health and clinical decision-making. At the same time, they warn that algorithmic bias, digital inequity, and governance challenges may reinforce existing health disparities if ethical safeguards are not built into future digital health systems. An accompanying editorial describes the framework as a significant extension of traditional Social Determinants of Health models for the digital era.

Dr. Hirokazu Masai of the National Institute of Advanced Industrial Science and Technology (AIST) has developed a highly elastic pristine oxide glass using the conventional melt-quenching method. The transparent glass exhibits both high elastic modulus and thermal stability, making it suitable for vitrification and optical fiber drawing.

Artificial intelligence models using electronic health records and patient-reported outcomes may help identify cancer survivors at increased risk for emergency department visits, hospitalizations and worsening symptoms after treatment. Findings suggest AI-driven risk forecasting could help care teams intervene earlier with more proactive survivorship support.

A recent comprehensive review highlights that artificial intelligence, by integrating multiscale data from wearables, multiomics, imaging and largescale cohorts, can finally turn the “exercise is medicine” slogan into truly individualized clinical practice. This openaccess article entitled “Artificial intelligenceempowered multiscale data integration for precision exercise biomedicine” (DOI: 10.1515/teb20260009), was published in Translational Exercise Biomedicine (ISSN: 2942-6812), an official partner journal of International Federation of Sports Medicine (FIMS).

When people watch a scene in the film Jurassic Park where a giant dinosaur walks toward them, they naturally imagine a heavy, rumbling sound, as if the ground were shaking. This is because humans predict sound by considering not only the shape of an object, but also physical properties such as its size, weight, and speed of movement. However, existing video-to-audio generation AI mainly generates sound based on the category of objects or scene information in the video, and has not sufficiently reflected physical properties that vary depending on weight or speed.

Detecting melanoma before it becomes visible is a major challenge in dermatology. Now, with researchers from Université de Montréal, scientists at Université du Québec’s Institut national de la recherche scientifique (INRS) have developed a promising solution tested on mice.

Called SMEAR-ULM, it’s a high-tech system that can detect skin cancers at their earliest stages by measuring tiny temperature variations at the surface of the skin. Led by INRS professor Jinyang Liang, the research team’s findings are published in Nature Sensors. 

The work was carried out in close collaboration with several research teams, including ones led by INRS professor Fiorenzo Vetrone and, at UdeM, pharmacology professor Davide Brambilla and medical professor Sylvain Meloche. 

The potential impact of the work is significant, the scientists say. 

Student teams from Monta Vista High School in Cupertino, California, and Sierra Vista Middle School in Irvine, California, took top honors at the 42nd Annual Science Olympiad National Tournament at the University of Southern California on Saturday, May 23, 2026. This is the second time that Monta Vista High School has captured the title and adds a back-to-back championship for Sierra Vista Middle School. 

Anyone seeking to purchase healthy products at the supermarket needs clear guidance. Nutritional labelling schemes, such as Nutri-Score labels, are designed to help with that. The Nutri-Score front-of-pack label shows a five-colour system from favourable nutritional composition in green (A) through to unfavourable in red (E). The scheme is optional on products across the EU but has been adopted by companies in several countries, for instance, Germany and the Netherlands. Some supermarkets also print a grey version on the price tag, but the colourful version on the shelf also attracts more attention here. Researchers at Göttingen University – in collaboration with Osnabrück University of Applied Sciences, the German Institute of Food Technology and Giessen University – studied consumers’ visual attention on these label formats. Their research showed colourful labelling catches the eye more frequently and for longer than monochrome. Particularly frequent and prolonged glances at the dark green A or the yellow C were usually accompanied by choosing this particular product. The red E, on the other hand, did not have the desired warning effect: even when this unfavourable rating was viewed frequently, the products still ended up in shopping baskets. The study was published in the journal Food Quality and Preference.