Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Nvidia has been a leader in providing AI and digital twin infrastructure for the medical community. Its various offerings improve diagnostics, the development of new medical devices, medical research and drug development. At the Fall GTC Conference, Nvidia announced various new medical tools, partnerships and workflows.

Artificial intelligence (AI) solutions increasingly are driving M&A deal volume in the medical device industry, according to GlobalData. Based on the current AI medical device M&A transaction trends, GlobalData expects that diagnostic imaging, specialized sectors like oncology and neurology medical equipment, and in-vitro diagnostics will continue to lead M&A deals in 2022 after achieving 18,698, 18,095, and 13,775 deals in 2021 respectively. "AI is being adopted in the healthcare industry to drive treatment innovation in areas like chronic disease management and optimizing operational decision making, with platforms like Nvidia's Clara Holoscan MGX and Paige AI Inc's Paige Lymph Node software," said Selena Yu, a medical devices analyst at GlobalData. Nvidia, a leader in developing specialty AI applications, launched a new platform, Clara Holoscan MGX, designed for medical devices and computational sensing systems. The platform uses AI to support medical device development, with the capability of processing multiple data streams simultaneously and visualizing biology in real-time.

GTC brought together dozens of healthcare innovators to present their work -- and announce new AI-accelerated applications and medical devices. More than 200,000 people registered for last week's online conference, where they attended hundreds of sessions spanning industries. The healthcare track included speakers from AstraZeneca, Mayo Clinic, Medtronic, Netherlands Cancer Institute and Pfizer, as well as more than 50 NVIDIA Inception startups. Here's some of the healthcare news shared at the show by NVIDIA, leading research institutions, and AI and medical device companies: Janssen, the pharmaceutical arm of Johnson & Johnson, shared its intelligent automation work using natural language processing models to scan medical literature that reports patients who may have experienced possible side effects. The latest version of the Janssen AI platform, which uses a customized version of BioMegatron using the NVIDIA NeMo framework, was set up in late 2021 to help accelerate the shortlisting of medical literature for human review to analyze drug safety.

MD&M West Booth #1259 -- MBX Systems, a specialized hardware designer and integrator, announced today that it is working with the NVIDIA Clara Holoscan MGX AI computing platform to streamline the development of next-generation AI-defined medical instrument solutions. Medical technology developers using the NVIDIA platform can deploy their solutions on MBX's embedded and edge hardware building blocks to eliminate costly and time-consuming custom hardware development. Clara Holoscan MGX is an AI computing platform for commercial medical devices that require high-performance, low-latency AI capabilities. The platform can help medical technology developers reduce development time as well as certification time and effort. It also provides long-term whole-stack software support and long-lifecycle support for NVIDIA hardware components, reducing the need for costly hardware updates for obsolete components while also ensuring the software is regularly updated with bug fixes and security vulnerability patches.

This week, Nvidia, a company best known for its high-powered graphic processing units (GPUs) debuted a platform for the development of AI-powered medical devices. The device, called Clara Holoscan MGX, provides computing power allowing medical sensors to process multiple data streams in parallel, train AI algorithms, and visualize biology in real time. Clara Holoscan MGX, debuted at the Nvidia's 2022 GTC conference, is an "open, scalable robotics platform," as CEO Jensen Huang put it in a keynote address. It's a hardware and software stack designed to help connect robotic medical devices or sensors, with AI applications. Take the process of endoscopy as an example.