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Leveraging HPC for Real-Time Quantitative Magnetic Resonance Imaging

W. Joe Allen from TACC gave this talk at the HPC User Forum. “The Agave Platform brings the power of high-performance computing into the clinic,” said William (Joe) Allen, a life science researcher for TACC and lead author on the paper. “This gives radiologists and other clinical staff the means to provide real-time quality control, precision medicine, and overall better care to the patient.”

AI Technology from China Helps Radiologists Detect Lung Cancer

Today Infervision introduced its innovative, deep learning solution to help radiologists identify suspicious lesions and nodules in lung cancer patients faster than ever before. The Infervision AI platform is the world’s first to reshape the workflow of radiologists and it is already showing dramatic results at several top hospitals in China.

NSF Funds HPC Cluster at Penn State

The Penn State Cyber-Laboratory for Astronomy, Materials, and Physics (CyberLAMP) is acquiring a high-performance computer cluster that will facilitate interdisciplinary research and training in cyberscience and is funded by a grant from the National Science Foundation. The hybrid computer cluster will combine general purpose central processing unit (CPU) cores with specialized hardware accelerators, including the latest generation of NVIDIA graphics processing units (GPUs) and Intel Xeon Phi processors.

UCLA Researchers Simulate Injured Human Leg

Researchers at UCLA have created the first detailed computer simulation model of an injured human leg–complete with spurting blood. The simulation is designed to make training for combat medics more realistic. “To create the simulator model, researchers combined detailed knowledge of anatomy with real-life CAT scans and MRIs to map out layers of a human leg–the bone, the soft tissue containing muscle and blood vessels and the skin surrounding everything. Then the design team applied physics and mathematical equations, fluid dynamics, and pre-determined rates of blood flow from specific veins and arteries to simulate blood loss for wounds of varying sizes and severity.”