Researchers have developed an infrared spectroscopy system that detects hazardous chemical aerosols from up to 11 meters away by bouncing laser light off everyday surfaces like traffic signs and tree bark.

New recommendations from the Harm Reduction Work Group of the Society for Research on Nicotine and Tobacco's Treatment Research Network, with contributions from researchers at MUSC Hollings Cancer Center, encourage clinicians to include nicotine e-cigarettes alongside other evidence-based smoking cessation options when counseling adults who smoke cigarettes. The recommendations emphasize shared decision-making and provide practical guidance to help clinicians tailor treatment to each patient's goals and preferences. The guidance is intended to help more people quit combustible cigarettes while correcting common misconceptions about nicotine e-cigarettes and supporting informed, patient-centered conversations about smoking cessation.

Researchers have developed a new imaging system that combines hyperspectral imaging with panoramic optical mapping to simultaneously visualize tissue composition and electrical activity across the entire surface of a living heart. Using a rat model of myocardial infarction, the team created detailed three-dimensional maps that distinguished healthy tissue, scar tissue, and the border zone between them based on collagen-related fluorescence signals. They then correlated these tissue maps with electrical measurements, revealing that abnormal beats often originated near the border of damaged tissue and that electrical waves slowed or became blocked within scarred regions. The system also showed that electrical activity lasted longer in infarcted tissue than in healthy tissue. By linking heart structure directly to function, the approach provides a new tool for studying how arrhythmias arise after cardiac injury and may help researchers evaluate future therapies aimed at preventing abnormal heart rhythms.

Researchers from the University of Osaka and collaborating institutions developed an autonomous solid-state nanopore that combines sensing, memory, and signal generation in a single device. Unlike conventional nanopores, the sensor continually reshapes itself through chemical reactions, producing unique electrical signatures as molecules pass through, providing a basis for memory. The device successfully identified a variety of nucleotides and amino acids, providing a new platform for molecular sensing and future iontronic computing.

Insilico Medicine (“Insilico”, HKEX:3696), a clinical-stage generative artificial intelligence (AI)-driven drug discovery company, today announced the launch of the Drug Discovery and Development (DDD) Benchmarks as a Service (BaaS). It is a pioneering standardized evaluation framework anchored in carefully decontaminated real-world data and proprietary validated programs. for measuring how frontier AI and foundation models built on other architectures perform on real-world tasks across medicinal chemistry, chemical synthesis, disease biology, clinical development, and longevity research.

Researchers discover a new way of switching a material between two fundamentally different magnetic states using an electric current, paving the way for energy-efficient cryogenic devices