The use of generative artificial intelligence (AI), able to produce text, images and video on demand, has grown exponentially in recent years. While its applications for personal and professional use continue to expand, many have questions about how children might be interacting with this technology. In a new state of the review article, researchers describe the potential benefits and risks to children and adolescents and how these might vary over different age groups.

Georgia Tech has been awarded up to $21.8 million from the Advanced Research Projects Agency for Health (ARPA-H) to develop a first-of-its-kind therapy for lymphatic disease, a condition that has long lacked effective treatment options. Led by Woodruff Professors Susan Napier Thomas and J. Brandon Dixon, the project aims to move beyond symptom management and address the disease itself, offering hope to patients who often experience chronic pain and disfigurement. Funded through ARPA-H’s GLIDE program, the initiative will focus on advancing the therapy toward initial human trials, including for rare pediatric conditions. The award highlights Georgia Tech’s leadership in engineering-driven healthcare innovation and its commitment to improving care for underserved patient populations.

University of Pittsburgh professors Lev Khazanovich and Julie Vandenbossche have secured a highly competitive $600,000, three-year grant from the National Academies' National Cooperative Highway Research Program (NCHRP) to pinpoint the root causes of longitudinal cracking and create predictive models for integration into design software.

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease. Scientists used their tool, named Merlin, to assess 3D abdominal computed tomography (CT) scans, accomplishing tasks as simple as identifying anatomical features to as complex as predicting disease onset years in advance. Despite being developed as a general-purpose CT model, Merlin surpassed a gauntlet of similar automated tools in tasks they were specifically built to handle.

In a large study, AI programs were highly accurate at detecting AI-generated faces, known as deepfakes, but humans outperformed computers at spotting fake videos

Low-quality AI content hurts both consumers and professional content creators, according to a new market study, but if AI-generated content improves enough, it could ultimately help consumers, novice artists and professional content creators