They identified 32 transportation-related risk factors that affect health.

Scientists are using the connectivity between artificial neurons to identify mutations of a new viral species.

Texas A&M civil engineering researchers are using a deep learning model to forecast the growth of COVID-19 cases.

The innovation could help speed up the drug discovery process.

A team of Texas A&M students is adapting its award-winning sanitization technology. The program provides resources and funding to further the commercialization of student products.

Participating universities presented their engineering solutions for issues affecting the planet. Finalists showcased their innovations virtually this year due to COVID-19.

Researchers from Texas A&M and the U.S. Army created synthetic materials with morphing abilities that can be 3D printed and self-heal within seconds.

Texas A&M researchers developed an image processing technique that can enhance low-resolution images and reveal details that were otherwise not discernable.

Texas A&M researchers have developed a method to more easily predict the amount of oil and gas that can be recovered from newly-drilled wells.

A 2D nanosheet developed by scientists in the Department of Biomedical Engineering could be used to control cell response via light.