In a study published today in Biofunctional Materials, Prof. Dr. Haidar, Founder and CEO of BioMAT’X I+D+I LABs in Santiago, Chile, unveils a groundbreaking advancement in dental care: Copper-incorporated microvesicles (CiMs). This innovative technology combines the healing power of copper with microvesicles to enhance tissue regeneration, promote healing, and combat oral diseases. With potential applications in dentistry, cranio-maxillo-facial surgery and beyond, CiMs; a promising leap forward in biomedical technology.

A team of researchers at Rice has developed an innovative AI-enabled, low-cost device that will make flow cytometry ⎯ a technique used to analyze cells or particles in a fluid using a laser beam ⎯ affordable and accessible.

Nanozymes are synthetic materials that have enzyme-like catalytic properties, and they are broadly used for biomedical purposes, such as disease diagnostics. However, inorganic nanozymes are generally toxic, expensive, and complicated to produce, making them unsuitable for the agricultural and food industries. A University of Illinois Urbana-Champaign research team has developed organic-material-based nanozymes that are non-toxic, environmentally friendly, and cost effective. In two new studies, they introduce next-generation organic nanozymes and explore a point-of-use platform for molecule detection in agricultural products.

A new study published in the journal Engineering has analyzed the correlation between different indoor transmission-risk assessment metrics for infectious diseases. By using simulation-generated data, researchers found that the choice of metric can lead to different conclusions about the effectiveness of non-pharmaceutical interventions. This discovery has important implications for facility managers in evaluating such interventions.

Data scientists and developers at Jefferson Lab are exploring some of the latest artificial intelligence techniques to help make high-performance computers more reliable and less costly to run. The study deploys machine learning models that are trained to monitor and predict the behavior of a scientific computing cluster. The goal is to help system administrators quickly identify and respond to troublesome computing jobs or hardware behavior, reducing downtime for scientists processing data from their experiments.

A new review in Engineering explores vacuum glazing, a technology with potential for improving building energy efficiency. With buildings consuming a large portion of society’s energy, this research delves into its fabrication, performance assessment, and energy-saving capabilities, aiming to contribute to low-carbon building development.