Scientists at City University of Hong Kong have cracked the code to identify ‘passwords’ needed to unlock the full potential of CRISPR, the revolutionary gene-editing "molecular scalpel" that can fix genetic diseases.

 

A multicenter study led by Prof. Shuixing Zhang and Prof. Bin Zhang from the First Affiliated Hospital of Jinan University enrolled 246 patients with locally advanced NPC treated with immunotherapy. By applying artificial intelligence algorithms, the team extracted and selected optimal radiomic features from medical imaging to construct a predictive model.

A research team from the Cognitive Neurotechnology Unit and the Visual Perception and Cognition Laboratory at Toyohashi University of Technology has found that approach–avoidance behavior in a virtual reality (VR) environment modulates how individuals recognize facial expressions. Notably, the study demonstrated that participants were more likely to perceive a facial expression as “angry” when they actively moved away from the face stimulus than when the face moved away from them. These findings contribute to a better understanding of the reciprocal relationship between perception and action in social contexts. The study was published online on July 31, 2025, in the International Journal of Affective Engineering. https://doi.org/10.5057/ijae.IJAE-D-24-00049

A trailblazing Genomic Press interview with Dr. Bruce M. Cohen explores how cutting-edge brain cell technology is providing revolutionary new information on the biological origins of psychiatric disorders. Among these findings, the Harvard professor discusses discoveries on mitochondrial dysfunction that are opening novel therapeutic pathways for schizophrenia, bipolar disorder, and Alzheimer disease. In addition, his advocacy for evidence-based diagnostic models challenges century-old psychiatric frameworks, proposing specific dimensional approaches that better capture the complexities of causes, presentations, and outcomes of mental illnesses.

The research team led by Dr. Byung Chul Lee at the Bionics Research Center of the Korea Institute of Science and Technology (KIST, President Sang-Rok Oh), in collaboration with Prof. Jae-Woong Jeong at KAIST (President Kwang-Hyung Lee), Prof. Whal Lee at Seoul National University Hospital (Director Young-Tae Kim), and Prof. Pierre T. Khuri-Yakub at Stanford University (President Jonathan Levin), announced the development of a silicon-based disposable eco-friendly ultrasound patch. This achievement marks the first realization of superior performance beyond conventional high-cost lead-based ultrasound transducers without using lead at all.

A team of researchers from Yong Loo Lin School of Medicine, National University of Singapore (NUS Medicine) and Tsinghua University has unveiled a new messenger ribonucleic acid (mRNA) vaccine technology that could make future vaccines safer, more effective, and less burdensome for patients.

Diabetes mellitus represents a major global health issue, driving the need for noninvasive alternatives to traditional blood glucose monitoring methods. Recent advancements in wearable technology have introduced skin-interfaced biosensors capable of analyzing sweat and skin biomarkers, providing innovative solutions for diabetes diagnosis and monitoring. This review comprehensively discusses the current developments in noninvasive wearable biosensors, emphasizing simultaneous detection of biochemical biomarkers (such as glucose, cortisol, lactate, branched-chain amino acids, and cytokines) and physiological signals (including heart rate, blood pressure, and sweat rate) for accurate, personalized diabetes management. We explore innovations in multimodal sensor design, materials science, biorecognition elements, and integration techniques, highlighting the importance of advanced data analytics, artificial intelligence-driven predictive algorithms, and closed-loop therapeutic systems. Additionally, the review addresses ongoing challenges in biomarker validation, sensor stability, user compliance, data privacy, and regulatory considerations. A holistic, multimodal approach enabled by these next-generation wearable biosensors holds significant potential for improving patient outcomes and facilitating proactive healthcare interventions in diabetes management.