Rice’s Moody Center for the Arts recently hosted its first engineering undergraduate social, bringing together students from across different engineering departments for an afternoon of fun activities, including art-making stations, door prizes and free food.
Rice engineers have developed an innovative way to make covalent organic frameworks, special materials that can be used to trap gases, filter water and speed up chemical reactions.
Rice’s Ken Kennedy Institute hosted the third annual AI in Health Conference Sept. 9-12, welcoming over 470 participants to Houston to explore the latest advancements in artificial intelligence.
A team of Rice engineering students was awarded the top prize in a prestigious national design competition for its innovative medical device for urological care.
Rice and Baylor College of Medicine have received $2.8 million from the NIH for research on reducing inflammation and lung damage in acute respiratory distress syndrome patients.
Rice and the University of Texas MD Anderson Cancer Center today announced the launch of the Center for Operations Research in Cancer, a joint initiative to solve complex challenges in cancer care using data science to make better operational decisions.
Rice bioengineers developed a road map for the protein-protein interactions that give rise to gas vesicles, naturally occurring nanobubbles with potential use in biomedical applications.
Rice inaugurated a new research center dedicated to ‘forever chemicals’ on Wednesday during a visit to campus by representatives of the United States Army Engineer Research and Development Center.
A research traineeship program developed by a team of Rice faculty led by Junichiro Kono has received an award of $3 million over five years from the National Science Foundation to equip a new generation of scientists and engineers with the skills needed to serve as leaders in quantum technology innovation.
Rice’s Ken Kennedy Institute is hosting the third annual AI in Health Conference Sept. 9-12 with themes this year including foundation models in medicine, LLM applications, AI in neuroscience and neurotechnology, digital twins in health care and patient engagement and equity in health AI.