A picture (of the eye) is worth a thousand words to this AI system that predicts the risk for major diseases like diabetes, based on the gap between the patient’s real age and the estimated retinal age.

Nanyang Technological University, Singapore (NTU Singapore) will house the first two Max Planck Centres in Southeast Asia, the Max Planck – Singapore Centre for Data-Driven Chemistry and the Max Planck – NTU Singapore Centre for Biocultural Worlding.

 

These centres are flagship collaborative research initiatives between the Max Planck Society (MPG) in Germany and leading international research institutions. They serve as hubs of scientific excellence, bringing together top researchers from around the world to address frontier questions across diverse disciplines.

 

The Max Planck – Singapore Centre for Data Driven Chemistry aims to study how the complex volume of chemical research data can be digitalised and analysed effectively to better understand chemical processes and shed light on new reactions.

 

The Max Planck – NTU Singapore Centre for Biocultural Worlding will study how the close connection between nature and human cultures shape the future of our planet, and what kinds of knowledge and approaches are needed to respond effectively.

New findings of an Alliance Foundation Trials study show combining immunotherapy and chemotherapy before surgery improves outcomes for some patients with locally advanced non-small cell lung cancer, according to the results of AFT-46/CHIO3 published in Lung Cancer.

A standard quartz crystal microbalance (QCM) has been turned into a much more sensitive mass sensor by using a normally avoided physical behavior: non-linear resonance. 

Self-powered flexible sensors exhibit revolutionary potential in next-generation wearable technologies owing to their exceptional sensitivity and self-sustaining energy harvesting capabilities. Nevertheless, their widespread deployment remains constrained by three fundamental challenges: dynamic mechanical mismatch between biological tissues and rigid devices, suboptimal energy conversion efficiency, and interfacial impedance fluctuation under deformation. Drawing inspiration from the unique negative Poisson’s ratio mesh architecture of lacewing wings, we present a bioinspired auxetic metastructure-engineered triboelectric nanogenerator. This innovative design integrates engineered collagen and micropatterned fluorinated ethylene propylene as triboelectric layers, unified by an auxetic framework with re-entrant hexagonal unit cells interconnected via triangular ligaments. The metastructure enables exceptional lateral expansion under longitudinal strain while simultaneously enhancing structural rigidity and deformation adaptability. This dual functionality effectively minimizes tissue–device mechanical mismatch, thereby significantly improving signal fidelity, sensitivity, and mechanical-to-electrical conversion efficiency during multi-axial deformations. The optimized device achieves remarkable performance metrics, delivering 478 V output voltage with 13.8% energy conversion efficiency in linear configuration, while demonstrating threefold enhanced stability (58 V, 7.58% efficiency) under complex bending compared to conventional designs. Integrated with a convolutional neural network-based machine learning enables exceptional classification accuracy (> 99%) across diverse material recognition tasks, validating its robustness as a next-generation platform for adaptive self-powered wearable sensing.

An upcoming international online forum will bring together leading researchers to explore how engineered biochar can advance carbon capture and sustainable resource recovery, addressing urgent global climate and environmental challenges.

What do you look for when you buy wine? Is price the main consideration? Or do you notice quality logos, region of production or alcohol content? Researchers at the University of Tennessee Institute of Agriculture are studying how these attributes affect your decision. Their goal is to identify attributes Tennessee residents and visitors prefer when evaluating wines produced in the state.

 

In 2024, a research team from the UTIA Department of Agricultural and Resource Economics received a grant from the USDA Agricultural Marketing Service to examine how wineries utilize social media marketing to promote their wines and vineyards. In 2026, the research team received an additional $189,000 in funding to extend the original study for two years. The expansion allows the team to collect additional data to examine how wine buyers value the new Tennessee Quality Assurance Program (QAP) logo, the alcohol content of the product, and whether the wine originated from grapes from an American Viticultural Area (AVA) in Tennessee.