New research is changing what we know about breast, lung, and prostate cancers. On Thursday, October 1, the Alliance for Clinical Trials in Oncology will host a public webinar highlighting key findings from Alliance and Alliance Foundation Trials (AFT) studies presented at the 2026 American Society for Clinical Oncology (ASCO) Annual Meeting.

The process of building and running an optics experiment to analyze a material’s properties could one day be fully automated, MIT scientists say. Taking a step toward such a future, they developed a reconfigurable, robotic optics laboratory.

A new AI-powered test, IICM+, may enhance recurrence risk prediction in HR+, HER2-negative breast cancer. Developed and independently validated in over 4,400 participants from the landmark TAILORx trial, IICM+ outperformed a widely used test. However, further validation is needed. By analyzing TAILORx tumor specimens and more than a decade of patient outcomes, this research extends the impact of this groundbreaking trial.

Researchers at San Diego State University, Arizona State University and the University of Utah are developing a new cybersecurity infrastructure for secure private data sharing. The work is part of a new $5 million grant from the National Science Foundation. 

Over the next five years, the team will deploy and support a novel cyberinfrastructure called Prototype Architecture for Research Advances using Privacy Enhancing Technologies (PARAPET), that could be used in a range of fields that require data analysis, like healthcare, internet security, science, finance and the social sciences, to protect sensitive information such as medical records, financial information and census statistics.

Using privacy-enhancing technologies, PARAPET is designed to be a more secure way to share and collaborate on sensitive data, safeguard data at rest and during computation, and train AI models without exposing private data.