by Rinkle Dudhani
Amid AI’s booming impact across industries, healthcare stands out as a potential gold mine. NVIDIA and other such companies create a means to transform treatment, patient care, and disease prognosis with the help of AI.
NVIDIA is leading the way in healthcare through its AI hardware and software solutions. In June 2023, NVIDIA closed at a trillion-dollar market value for the first time, ranking it as the fifth most valuable US company. This not only demonstrates how much ground AIs can cover but also how well NVIDIA has merged AI into healthcare.
Thus, whether you are in medical practice or are just interested in what medicine will look like tomorrow, NVIDIA’s contributions to Healthcare AI must be taken into account. Read on for great insights into NVIDIA and its plans to revolutionise healthcare with AI.
What is NVIDIA AI?
Nvidia AI has been at the forefront of the artificial intelligence revolution since 1993, when it started using state-of-the-art computer technologies. NVIDIA’s entry marked a shift towards sophisticated GPUs, which are vital for rendering high-quality images and video.
Initially associated with gaming consoles, Nvidia’s GPUs quickly found novel applications in various industries. Today, NVIDIA AI drives progress in medical diagnostics, autonomous driving, natural language understanding, and robotics industries.
History of NVIDIA
NVIDIA’s presence in healthcare has been influenced by its innovative thinking on accelerated computing and approach to seemingly impossible challenges. The company initially aimed at bringing 3D graphics to gaming and multimedia markets; however, they did not stop there.
In 2012, NVIDIA started the modern era of AI by powering AlexNet. This led to transformative effects of AI across many areas, including health care. Recognising the enormous potential of HPC (High-Performance Computing) technologies and AI to revolutionise medicine, the company shifted its focus toward Healthcare. This was also because there was a growing demand for personalised medicine, next-generation clinics, and breakthroughs in biomedical research.
NVIDIA Vision
The company has a vision for healthcare that goes beyond mere technological innovation. It is about enabling healthcare organisations to redefine the future of medicine. By using AI and HPC, healthcare providers can improve patient outcomes as well as enable personalised treatment plans, and drive biomedical research advancements to combat diseases.
NVIDIA is promoting innovation in all sectors of healthcare. This is done through the 1,700 AI healthcare startups worldwide under the NVIDIA Inception program. The initiative provides start-ups with an opportunity to utilise the resources, expertise, and technology offered by NVIDIA at every stage of their development.
NVIDIA Mission
In the field of health care, NVIDIA’s mission is clear: to democratise futuristic AI and HPC technologies. This is so that breakthroughs can be made by healthcare practitioners and researchers. It will further lead to improved patient outcomes and a different outlook on medicine.
Its mission is reinforced through its numerous investments and collaborations. NVIDIA also launched about two dozen new AI-powered, healthcare-focused tools at its 2024 GTC AI conference. It deals with Johnson & Johnson and GE Healthcare for surgery and medical imaging. Last year, NVIDIA also invested $50 million in Recursion for its drug discovery projects.
Who are its Industry Partners?
NVIDIA’s success in advancing artificial intelligence and computing technologies is supported through strategic partnerships with various companies. Let’s discuss some of the industry allies who have teamed up with NVIDIA to drive AI development forward.
Drug Discovery
NVIDIA is helping pharmaceutical and biopharmaceutical companies discover and develop drugs more quickly and economically. Some of the health partners of NVIDIA in drug discovery are:
Domino Data Lab
Its enterprise machine learning operations platform enhances discovery and model deployment speed for the code-first data science team.
Schrödinger
Schrodinger provides physics-based modelling with machine learning that enables a more accurate evaluation of vast chemical space than ever before.
Vyasa
Vyasa is an analytics company that speeds up analytics and insight discovery. This is done by merging various data sources across healthcare organisations using its Vyasa Layar deep learning data fabric.
Smart Hospitals
NVIDIA aims to use smart sensors to ensure safety and operational excellence in hospitals. The goal is to improve patient care in healthcare facilities. Some companies that have partnered with NVIDIA to make smart hospitals are:
Artisight
Artisight was conceived by doctors, operational experts as well as AI scientists. The intent is to improve the operating room through smart IoT sensor network platforms for patient safety reasons.
Medical Imaging
NVIDIA helps researchers perform accurate early detection, medical classification, and automated 3D segmentation through medical imaging. Some companies that have partnered with NVIDIA in medical imaging are:
Flywheel
Flywheel offers imaging data management for research and machine learning. It gives researchers independent access to secure collaborative research, machine learning discoveries, and clinical trials.
Rhino Health
Forced distributed representation computing by Rhino Health aids in translating AI into clinical impact by breaking down data silos.
Weights & Biases
Weights & Biases provides machine learning tools to track experiments, manage and version data, and collaborate so data scientists can focus on building the best models.
How is NVIDIA Planning to Transform the Healthcare Industry?
Let’s now see how NVIDIA’s schemes aim to redefine the future of medicine. Here are some of the ways NVIDIA plans to drive this transformation in the healthcare sector.
NVIDIA BioNeMo
To facilitate the development of drugs, this NVIDIA BioNeMo eases and speeds up model training on proprietary data. It also ensures simple, scalable model deployment for drug discovery applications. It provides researchers and developers with the fastest and simplest way to build into their state-of-the-art generative AI applications such that they can be used in all parts of drug discovery from target identification.
NVIDIA Holoscan
The NVIDIA Holoscan is a sensor processing platform for developing and deploying AI and HPC (high-performance computing) applications that produce real-time insights. It speeds up the entire process, providing the software and hardware needed to make AI apps. It also supports the deployment of uniting data processing from edge-to-the-cloud. From surgery to satellites, Holoscan allows firms access to new possibilities, boosts speed to market, and reduces expenditures.
NVIDIA Flare
NVIDIA FLARE (Federated Learning Application Runtime Environment) is an extensible SDK for Federated Learning, which is domain-agnostic and open-source. It lets researchers and data scientists who are using existing ML/DL workflow adapt that workflow by the federated paradigm while platform developers can create secure privacy-preserving distributed multi-party collaboration models.
NVIDIA Monai
NVIDIA MONAI is a comprehensive set of enterprise-grade containers, AI models, and microservices. It offers a secure platform supported by NVIDIA based on Project MONAI open-source code. Enterprise developers can use specialised AI workflows to build, improve, or deploy Imaging AI solutions in various healthcare or life sciences applications at a faster pace.
NVIDIA Parabricks
NVIDIA Parabricks is a genomics analysis software suite. It uses full-stack accelerated computing to analyse information within minutes. It supports different bioinformatics workflows. It can be used with all popular sequencing instruments, and it integrates AI to enhance accuracy and customization. It offers an efficient and space-saving solution for large-scale genomics projects geared towards advancing the understanding and management of diseases.
