Nanozymes—artificial enzymes that can carry out pre-determined chemical reactions—could selectively activate a cancer drug within a tumor while minimizing damage to healthy tissue in a mouse model of triple negative breast cancer.

New study identifies concerning gaps between how human radiologists score the accuracy of AI-generated radiology reports and how automated systems score them. Researchers designed two novel scoring systems that outperform current automated systems that evaluate the accuracy of AI narrative reports. Reliable scoring systems that accurately gauge the performance of AI models are critical for ensuring that AI continues to improve and that clinicians can trust them. Source: Harvard Medical School/Science Daily

The Interagency Modeling and Analysis Group (IMAG) celebrated its 20th year during the two-day annual IMAG Multiscale Modeling Consortium meeting in late June at the Natcher Conference Center and via virtual attendance. Source: NIH Record. 

A team of Rice University engineers has launched a first of its kind, open-source software that constructs and uses personalized computer models of how individual patients move to optimize treatments for neurologic and orthopedic mobility impairments. Source: Rice University

New recommendations from the NIH Rapid Acceleration of Diagnostics (RADx®) Tech Program provide a blueprint for the design and manufacture of more accessible diagnostic tests.

Established by NIBIB in January, the BETA Center will serve as a hub for expert teams of technology developers at the NIH intramural program and beyond to work together to rapidly address pressing health needs. Source: NIH Catalyst

For most of our tissues and cells, a lack of oxygen, or hypoxia, is bad news. However, cancer cells can thrive in these conditions, rendering tumors less susceptible to anti-cancer treatments including radiation. Now, new research may offer a way to break through cancer’s hypoxia-induced defenses.

This fully wireless ultrasound patch, which can capture detailed medical information and wirelessly transmit the data to a smart device, could represent a major step forward in at-home health care technology.

With an eye toward early disease detection, synthetic biology engineers at the University of Wisconsin have designed and engineered bacteria that find and detect fragments of DNA shed from infectious pathogens.