NVIDIA’s contribution to accelerating medical imaging, genomics, computational chemistry and AI-powered robots was recognized Friday at the Precision Medicine World Conference in Santa Clara, California.
The Precision Medicine World Conference brings together healthcare leaders, global researchers and innovators across biotechnology. The Luminary Award recognizes people who transform healthcare by promoting precision medicine at clinics.
Nvidia has been involved in advanced healthcare computing for nearly 20 years. Working with researchers and industry leaders, we are building ways to help scientists better understand life science, medical imaging and genomics.
“If that’s the case, we’ve built a computational device. It’s not a gene sequencer, it’s not all the incredible scientific tools you’re talking about here. In our case, it’s programmable science. “It was a way of doing things,” Huang said in his acceptance speech. “We have served researchers and scientists as we strive to better understand our lives in space.”
The first use of accelerated computing in life sciences was in the 2000s. The introduction of the NVIDIA CUDA parallel computing platform in 2006 paved the way for researchers to demonstrate how NVIDIA GPUs can be used in medical imaging applications such as CT reconstructions.
“Nvidia continues to develop and develop GPUs at the heart of AI and machine learning, which are changing the world, including precision medicine,” says Dr. Gad Getz, a globally acclaimed leader in Massachusetts. states. When he awarded the award, General Hospital.
Today, NVIDIA AI and accelerated computing have an impact on the analysis, interpretation and translation of sequence data, and is a major factor in the development of new sequencing technologies, imaging data, spatial technologies, single cell genomics, proteomics, molecular dynamics, pharmaceutical development, and large-scale It has an impact on large language models, a scaled language model, which can be used by doctors, patients, students and teachers to learn this field,” Getz said.
Promoting precision medicines through accelerated computing
Huang spoke about how AI can help doctors, scientists and researchers work to advance medicine. By investing in AI, research organizations and businesses can continuously improve accuracy, efficiency and insights by integrating additional data and feedback from all experts that interact over time. I explained that you can set the wheels.
“People say you want humans in loops and AI, but in fact the opposite is true. You want AI in loops along with humans,” fans said. “The reason is that when AI is in a loop with humans, it embodies our life experience. All the AI in the loop codifies that life experience and maintains it in the company. If you have AI with all researchers, scientists, engineers, marketers (all employees of your company) and all researchers, scientists, engineers, marketers.
Looking ahead, Huang said: AI helps doctors predict, diagnose and treat illnesses in ways we didn’t think we could do. The patient’s genome is scanned in seconds to identify risks before symptoms appear. AI builds our digital twins, modeling how tumors evolve and predict which treatments will be the most effective. ”
“I wouldn’t be surprised if I’d represented basically every cell before 2030, within the last 10 years,” Huang says. “We express it, we understand the language of it and can predict what will happen.”
Huang predicts that surgical robots will perform minimally invasive surgery with unparalleled accuracy, robot caregivers will assist nurses and other medical professionals, robot labs will run experiments around the clock, and drug discovery promotes. He said the AI assistant will allow doctors to focus on what’s most important to them: patients.
In his speech, Huang also thanked the medical research community and highlighted how a major breakthrough comes from partnerships between technology companies, researchers, biotech companies and healthcare leaders. Over 4,000 healthcare companies are part of the NVIDIA Inception program designed to help startups evolve faster.
Learn more about accelerated healthcare computing at NVIDIA GTC, a global AI conference held in San Jose, California from March 17th to 21st.
