Artificial Intelligence is reshaping life sciences, medicine, and healthcare as an industry. GPU-accelerated deep learning solutions are at the heart of this revolution. They’re enabling a new era of biomedical advancements—from real-time pathology assessment to point-of-care interventions to predictive analytics for clinical decision-making. Learn more about how AI-driven healthcare is taking center stage.
Our guest speaker, CEO of Parabricks Mehrzad Samadi, discusses the use of GPU-acceleration to speed the analysis of DNA sequencing data. Parabricks has accelerated secondary analysis of sequencing data to analyze a 30x whole genome from days to less than one hour. Using GPUs, Parabrick’s accelerated workflow can finish alignment, pre-processing and variant calling—a process that can easily take up to 30 hours on 32 vCPU servers—at trailblazing speeds.
By watching this webinar replay, attendees will:
- Learn how deep learning and AI are driving advances in healthcare, medical research, pharmacology, precision medicine and other areas
- Gain an in-depth understanding of how GPUs can be used for accelerating industry standard algorithms and deep learning technologies used in genomics and Medical Imaging
- Get access to the NVIDIA DGX Pod blueprint for large-scale development and deployment of both AI software and Healthcare software applications