- DGIST research team led by Yoonhee Lee and Gyogwon Koo enhances lung cancer diagnostic accuracy by combining exosome physical properties with AI. - The research also proposes the potential for rapid and precise liquid biopsy-based lung cancer diagnosis without fluorescent labeling.

A  study by UC Riverside psychology scholors and co-authors find that when Black and Latino youth aspire toward careers in science and technology, their confidence in exploring career possibilities and how they think society views their ethnic-racial group can play a crucial role in whether their dreams take root.

Researchers from The University of Osaka have used a miniature heater positioned over a nano-sized opening to gently unzip DNA’s double helix into a single strand for quick, efficient analysis. The device enables detection of longer DNA strands than before while using less power and improving accuracy. The technology could be used in handheld medical devices, helping doctors to diagnose disease and tailor treatments based on patients’ genes.

A group of 60 scientists from across North America and the United Kingdom analyzed GPS collar data from 10 species tracked in 14 U.S. national parks and protected areas.  Although responses varied based upon species, exposure to human infrastructure and habituation, the scientists found animals continue to fear people and avoid areas of high human activity even while the parks were closed to the public. 

Lydia Kavraki, a pioneering researcher in robotics, computational biomedicine and artificial intelligence (AI) at Rice University, has been elected to the European Academy of Sciences. This prestigious organization recognizes excellence in scientific advancement and innovation. 

(IDAHO FALLS, Idaho) — The Idaho National Laboratory (INL) and Amazon Web Services (AWS) will collaborate to use AWS’s advanced capabilities and cloud infrastructure to develop artificial intelligence (AI) tools for nuclear energy projects.

A new analysis suggests that posts in hate speech communities on the social media website Reddit share speech-pattern similarities with posts in Reddit communities for certain psychiatric disorders. Dr. Andrew William Alexander and Dr. Hongbin Wang of Texas A&M University, U.S., present these findings July 29^th in the open-access journal PLOS Digital Health.