NVIDIA’s Clara healthcare platform uses AI to study COVID-19
Graphics card manufacturer NVIDIA has, in more recent times, branched out from mainly focusing on gaming to areas such as automotive and, increasingly, healthcare.
A number of companies participating in the company’s Inception startup accelerator programme have interests in healthcare. One, Deep 6 AI, focuses on using machine learning to analyse medical records and identify potential candidates for medical trials. Another, Aiforia, is using AI to automate the analysis of tissue samples.
Nvidia’s CEO Jensen Huang has expressed his belief in the role of AI to power a new era of computing, writing in a blog post: “Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning. This new model — where deep neural networks are trained to recognize patterns from massive amounts of data — has proven to be “unreasonably” effective at solving some of the most complex problems in computer science. In this era, software writes itself and machines learn. Soon, hundreds of billions of devices will be infused with intelligence. AI will revolutionize every industry.”
NVIDIA’s own Clara healthcare platform serves as a framework for AI-powered imaging, genomics, and for the development and deployment of smart sensors.
Amidst the ongoing COVID-19 pandemic, NVIDIA announced it was expanding the platform to assist the medical community “track, test and treat” COVID-19. Those expansions include genome sequencing software, AI models to help with disease detection and video analytics and speech recognition software to reduce staff exposure in hospitals.
“The COVID-19 pandemic has supercharged the collaboration of technology, research and the healthcare industry to develop new computing solutions that accelerate the understanding of the spread, scale and severity of this disease,” said Kimberly Powell, vice president of Healthcare at NVIDIA. “Never before has there been such a critical need to apply the best AI technology and accelerated computing to every facet of healthcare, and its effects will be felt widely beyond this pandemic and across healthcare going forward.”
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