Metal Minds: AI in Healthcare
Read about this analysis which speeds the identification of patients who meet the criteria for a clinical trial leading to more effective treatments.
In this demo, the power of parallelism and scalability allows physicians and researchers to identify even subtle changes in pathology.
Find out how using algorithms to analyze a virtual library of chemical compounds helps to create faster and more effective treatment options for cancer patients.
Funded in part by Intel® Parallel Computing Centers, the ROME System was developed to rapidly assemble 2D Cryo-EM images into 3D high-resolution structures.
See what’s new in Life Sciences simulation for cancer research, drug development, patient screening, and visualization.