Students in the inaugural Invention Convention Florida at the University of South Florida competed for top honors in various grade-level categories, with more than 80 standout projects earning the opportunity to advance to the Invention Convention U.S. Nationals later this year.

With the advent of artificial intelligence (AI), predictive medicine is becoming an important part of healthcare, especially in cancer treatment. Predictive medicine uses algorithms and data to help doctors understand how a cancer might continue to grow or react to specific drugs—making it easier to target precision treatment for individual patients. Now, researchers at the Institute for Genome Sciences at the University of Maryland School of Medicine set a foundation in two commentaries out this week for going beyond AI to find the best treatments for patients, as well as ethically data sharing to promote reproducible science.

 

New bat cell lines and reagents help to study bat antiviral immune responses against hantaviruses and coronaviruses

Barrier islands, which cover a majority of the Atlantic and Gulf coasts, protect coastal infrastructure, beach towns and ecosystems — such as marshes, mangroves and seagrass meadows — from damaging storms and high-energy waves. In a recent study, researchers from Texas A&M University led by Dr. Orencio Duran Vinent gained a better understanding of what makes a barrier island a “barrier.” 

Environmental Engineering Science, a premier peer-reviewed journal dedicated to critical advancements in environmental engineering and science, is pleased to announce the appointment of Dr. Venkataramana Gadhamshetty, PhD, PE, BCEE, MASCE, as its new Editor-in-Chief. Environmental Engineering Science is the official journal of the Association of Environmental Engineering and Science Professors (AEESP).

A novel artificial intelligence (AI) tool has revealed how disease-linked proteins misfold into harmful structures, a key advance in understanding neurodegenerative disorders such as Alzheimer’s and Parkinson’s. The study, led by Mingchen Chen of the Changping Laboratory and Rice University’s Peter Wolynes, introduces RibbonFold, a new computational method capable of predicting the structures of amyloids.