Researchers have developed a new methodology that uses artificial intelligence (AI) tools to identify and count target viruses more efficiently than previous techniques. The new approach can be used in applications such as pharmaceutical biomanufacturing.

A new ultra-efficient microchip developed at MIT enables resource-constrained wireless biomedical devices to implement post-quantum encryption protocols that can defend against cyberattacks from powerful quantum computers.

Researchers from the University of Liverpool, Japan, and Argentina have captured atomic‑resolution images of an important copper-containing enzyme using advanced X-ray Free Electron Laser (XFEL) technology at SACLA in Japan.

When supermarkets choose the right strategy for surplus food, they can both reduce food waste and improve their bottom line. An analysis from the University of Copenhagen shows that it is often more profitable to donate surplus food than to throw it away. In many cases, doing so leads to a direct financial gain.

Consumer trust in smart technologies — like Amazon’s Alexa or Ring’s video doorbells — may rely on more than just the technology. It may also depend on a person’s political beliefs. New research from the University of New Hampshire found that where you are on the political spectrum may sway your decision to use smart technology, with conservatives being more open to sharing their data with these devices and liberals showing more caution.

The Keck School of Medicine of USC and Keck Medicine of USC have launched collaborations with Tempus AI, Inc., a technology company at the forefront of applying AI to precision medicine, to integrate clinical care, clinical trials and research through a unified framework. The new framework intends to create an ongoing cycle of learning between patient care and research, with a primary goal of improving outcomes for the more than 1.5 million annual patient visits to Keck Medicine of USC hospitals and clinics. It is designed to promote more personalized and precise care to patients across the Keck Medicine of USC health system with tailored recommendations informed by large-scale clinical data. At the same time, it seeks to use clinical data to inform and accelerate research to develop innovative therapies and algorithms that may translate for public benefit. At the heart of the USC -Tempus collaboration is the pioneering research and patient care delivered by the USC Norris Comprehensive Cancer Center. The strategic undertaking is anchored by four key pillars. These include clinical testing, which can enable detailed molecular and genetic profiling at the patient level; clinical trials matching, which automatically matches eligible patients with novel targeted therapies; clinical care gap pathways, which uses AI-driven insights to promote evidence-based patient care; and research collaboration and co-development, aimed at moving academic discoveries into real-world diagnostics and treatments. Together, these elements have the potential to create an integrated ecosystem that connects patient care and research. This collaboration will start with a focus on precision oncology, with the intension of creating a proven model for integrating care and research, that can then be extended over time to other specialties, including cardiology, neurology and radiology.