At the Nvidia GTC 2025 event in San Jose, California, this week-so-so called “Super bowl of ai” – Giant Chip announced many partnerships, using AI power to apply Turboarge in life and healthcare sciences, including a partnership with GE Healthcare and Google.
Autonomous diagnostic imaging
NVIDIA and GE Healthcare develop autonomous imaging solutions powered by artificial intelligence, starting with X -ray and ultrasonic technology.
Using Isaac Nvidia on the healthcare and space platforms, GE Healthcare plans to train and test autonomous imaging systems in a virtual environment before implementing in the real world.
The initiative initially focuses on the automation of repetitive tasks in X -ray imaging, enabling care teams to spend more time in sophisticated cases.
In ultrasounds, automation based on artificial intelligence can aid alleviate the physical load of sonographs and improve imaging consistency.
“We are excited about the potential of autonomous x-rays and ultrasounds, because we focus on unlocking smarter, more automated solutions that increase performance and reduce the burden on healthcare employees,” Roland Rott, president of Imaging at Ge Healthcare, said in a statement.
Progress related to AI in health, natural sciences
The NVIDIA GH200 and GB200 Superchips, in combination with miracle-X libraries, are aimed at accelerating the AI application in health science and natural sciences by ensuring significant calculation benefits.
The latest architecture can speed up engineering simulations to 11x and support calculations five times higher than conventional accelerated computer platforms. These progress can lead to breakthroughs in biomedical studies, medical imaging and discovering drugs.
The Miracle Nvidia library is already improving on a gigantic scale of engineering simulation, such as electromagnetic modeling and computing drug design, by effectively using the common CPU-GPU memory.
This technology, integrated with platforms such as Ansys HFSS and Altair Optistruct, allows scientists to conduct more sophisticated simulations faster.
“The ability to solve mass computing problems without limiting memory restrictions is a game changer in the field of health research and natural sciences,” said Kimberly Powell, Vice President for Health Care in Nvidia.
Extended AI cooperation with Google
Google Nvidia and Alphabet deepen their AI partnership in order to accelerate the progress of healthcare, natural sciences and discover drugs by using GPU and AI Nvidia platforms, including Omniverse, Cosmos and Isaac, to break up medical research, robotics and scientific calculations.
Isomorphic laboratories, a company organized by Google Deepmind, focused on discovering drugs powered by AI, built a drug design engine in Google Cloud using NVIDIA GPU, aimed at scaling and improving AI models that can significantly improve therapeutic development.
In addition to drug research, the partnership will boost the AI Google Cloud infrastructure, thanks to which the GPU based on Blackwell from NVIDIA has been provided with computational work in computational loads in biotechnology and medical imaging.
“AI and accelerated processing transform the future of healthcare, from discovering drugs into robotics and cloud-based tests,” said Jensen Huang, founder and general director of NVIDIA. “Together with Google, we move the AI boundaries to solve the most burning challenges in medicine and science.”