From AI transformers to computer-based reasoning to rethinking drug design: AI pioneers discuss the future

Jensen Huang at GTC

In a packed panel discussion at GTC, moderated by NVIDIA Founder and CEO Jensen Huang, the architects of the groundbreaking transformer model gathered to explore their creation’s potential. The panel featured seven of the eight authors of the seminal “Attention Is All You Need Paper” paper, which introduced transformers – a type of neural network designed to handle sequential data, like text or time series, in a way that allows for much more parallel processing than previous architectures like recurrent neural networks (RNNs). Transformers accomplish this through a mechanism called “attention,” which enables the model to differentially weigh the importance of different parts of the input data.

The transformer architecture powers large language models like GPT-4 and has ignited widespread interest in AI applications across industries including in biology, wher…

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Genentech’s lab in the loop aims to tap the power of quantity for quality drug discovery

[NVIDIA]

We can design chips that power self-driving cars and create physically-realistic video footage based on text descriptions. Yet, as Genentech’s Aviv Regev pointed out in a session about the company’s lab in the loop at NVIDIA’s GTC conference, the humble cells within us operate with a complexity that still eludes our full understanding.

It turns out that a cell is itself like a computational device with circuits and code, Regev said. These molecular “circuits” interact with each other, receive information, make decisions, and execute them. “These molecular circuits — they’re hard to reverse engineer,” she said. That hasn’t stopped scientists from spending decades trying to model and predict their behavior. “Mostly unsuccessfully, I can tell you,” Regev added.

But what if we could harness the same technological power driving those other breakthroughs to unravel t…

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NVIDIA exec on how ‘NIMs’ can help biopharma navigate the challenges of deploying generative AI

[Image courtesy of Nvidia]

The buzz surrounding generative AI may be undeniable, but its real-world impact on heavily-regulated sectors like drug discovery continues to evolve. Consequently, most drug candidates, circa 90%, continue to fail. Kimberly Powell, vice president of Healthcare at NVIDIA, believes that a new microservices-based offering known as NIMs (NVIDIA Inference Microservices) could help pharma firms navigate this maze. “NIMs were built for the healthcare space, which has very private data,” Powell explained. Healthcare companies, including drug developers, “don’t always want to go to a cloud service. They want to do it in their own environment. We want to give them that capability,” she added.

To date, NVIDIA is offering about two dozen new healthcare microservices with more to follow.

NIMs intend to help scale AI deployment across infrastructures

NIMs, which …

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GE HealthCare, Nvidia team up to bring AI to ultrasound

GE HealthCare (Nasdaq: GEHC) + announced that it utilized Nvidia technology to develop an AI-powered research model called SonoSAMTrack.

SonoSAMTrack combines a promptable foundation model for segmenting objects on ultrasound images called SonoSAM. It segments anatomies, lesions and other essential areas in ultrasound images. GE HealthCare also offers a streamlined version called SonoSAMLite.

The latest development builds on a long-term AI collaboration between GE HealthCare and Nvidia. Nvidia, a leader in AI computing, has worked with a number of medtech companies to incorporate AI into their technologies. Johnson & Johnson MedTech announced this week that it plans to accelerate and scale AI for surgery in partnership with Nvidia.

Asensus Surgical linked up with Nvidia last year to deliver novel clinical intelligence to surgeons in surgical robotics. Medtronic also partnered with Nvidia to enable an AI Acce…

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NVIDIA expands BioNeMo platform with new foundation models and microservices for AI-powered Drug Discovery

The most recent NVIDIA BioNeMo foundation models can help drug discovery groups design drug molecules virtually. [Credit: NVIDIA]

NVIDIA is putting the power of generative AI for drug discovery into the hands of more pharmaceutical and biotech companies with an expanded collection of AI models and flexible deployment options. More than 100 firms are already using the company’s biomolecular BioNeMo platform to accelerate the development of therapeutics.

“For the first time in history, we can represent the world of biology and chemistry in a computer, making computer-aided drug discovery possible,” said Kimberly Powell, NVIDIA VP of healthcare, in a press briefing. “By helping healthcare companies easily build and manage AI solutions, we’re enabling them to harness the full power and potential of generative AI.”

The latest additions to BioNeMo, announced today at NVIDIA G…

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Johnson & Johnson MedTech partners with Nvidia on AI in surgery

Johnson & Johnson MedTech announced today that it plans to accelerate and scale AI for surgery in partnership with Nvidia.

The two companies paired up to support increased access to real-time analysis and global AI algorithm availability. They hope to affect surgical decision-making, education and collaboration across the connected operating room (OR).

This marks the latest medtech collaboration involving Nvidia, a leader in AI computing. Asensus Surgical linked up with Nvidia last year to deliver novel clinical intelligence to surgeons in surgical robotics. Medtronic also partnered with Nvidia to enable an AI Access platform to boost the GI Genius intelligent endoscopy module’s capabilities.

Read more on Nvidia and its use of generative AI in the pharmaceutical industry here.

According to a news release, the companies executed a memorandum of understanding to accelerate AI for Johnson & Johnson MedTech’s extensive surgical technolog…

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Denmark teams up with Novo Nordisk Foundation, NVIDIA to launch visionary AI research center

A total of 15,128 NVIDIA H100 Tensor Core GPUs (pictured here) will be used in the Denmark AI Innovation Center. The hardware can support the development of advanced AI applications, from protein structure prediction to quantum computing research.

A collaboration between the Novo Nordisk Foundation, the Export and Investment Fund of Denmark (EIFO), and NVIDIA will establish a national AI Innovation Centre in Denmark focused on accelerating research and innovation in fields including healthcare, life science, and quantum computing. The initiative is led on the Danish side by the Novo Nordisk Foundation, which has committed roughly DKK 600 million (around $90 million) toward the initial costs of the center, and the Export and Investment Fund of Denmark (EIFO), which has contributed another DKK 100 million.

In a press briefing, Kimberly Powell, NVIDIA’s VP of healthcare, highlighted Denmark’s “…

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Iambic Therapeutics and NVIDIA partner to slash cancer drug development timelines

Using generative AI in drug discovery, Iambic Therapeutics (formerly Entos) has advanced its IAM1363 drug candidate from program launch to clinical studies in fewer than 24 months — a process that often takes several years. Iambic Therapeutics’ AI drug development milestone relied on an alliance with NVIDIA researchers and engineers and through the use of AI tools, including NeuralPLexer, a generative AI model designed to predict the three-dimensional structure and binding interactions of protein-ligand complexes.

The company has since developed the next generation of the model, dubbed NeuralPLexer2 that boasts higher accuracy and new features for biomolecular structure prediction and drug design.

IAM1363 is a selective, brain-penetrant inhibitor designed to treat HER2-driven cancers. It is designed to target metastatic tumors throughout the body, including the brain, while offering a wider therapeutic index and reduced toxicity over existing therapies. Read more

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Amgen, Deepcell tap NVIDIA’s AI to drive drug discovery and advance cell morphology research

[surassawadee/Adobe Stock]

In 2023, generative AI (GenAI) entered the mainstream, capturing the attention of both the public and a growing number of biotechs. One of the most prominent Big Tech firms driving the trend is NVIDIA, which has forged alliances with biotechs ranging from Genentech, Recursion Pharmaceuticals and Evozyne, among others. 

The momentum is continuing in early 2024, with NVIDIA announcing renewed pacts with Amgen and DeepCell. Amgen will use NVIDIA’s drug discovery generative AI platform BioNeMo Cloud service to accelerate molecule screening and optimization processes. Meanwhile, NVIDIA’s partnership with Deepcell hinges on advancing cell morphology studies with generative AI. “There is a very big moment happening in the world of pharmaceuticals and how drugs are being discovered,” said Kimberly Powell, vice president of Healthcare at NVIDIA, in a call with journali…

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Nvidia-Genentech AI drug discovery alliance unites computing brawn with biological brains

NVIDIA BioNeMo AI molecular modeling software can uncover complex biochemical interactions through AI-driven molecular modeling techniques. [Image courtesy of NVIDIA]

Technically, graphics processing and AI hardware powerhouse Nvidia is also a drug discovery company. It may not discover drugs in-house, but it has developed BioNeMo, a comprehensive generative AI platform for drug discovery and Clara, a collection of healthcare frameworks, applications, and tools, including for biopharma. Nvidia partners include Amgen, AstraZeneca, GSK and Insilico Medicine.

Similarly, biotech pioneer and Roche subsidiary Genentech is also an AI company. It has experience in applying machine learning to an array of disease areas, and has extensive biological and molecular datasets and research capabilities. Its initiatives include alliance with firms such as Recursion Pharmaceuticals and Reverie Labs that focus on using AI for nov…

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Asensus, Nvidea to collab on AI for surgical robotics

The Intelligent Surgical Unit powers the Senhance surgical robot system. [Image courtesy of Asensus Surgical]Asensus Surgical (NYSE:ASXC) announced today that it entered into a collaboration with Nvidia to accelerate the development of its ISU.

The partnership aims to enhance the ISU (Intelligent Surgical Unit), part of Asensus’ performance-guided surgery offerings. Asensus designed its flagship Senhance surgical robot platform around the ISU. The real-time intraoperative surgical image analytics platform leverages augmented intelligence to reduce surgical variability. It allows the surgeon to measure anatomy, place digital tags, enhance surgical images and utilize AI-driven control of the camera.

Asensus said it linked up with Nvidia, an AI computing leader, to improve the ISU’s ability to deliver novel clinical intelligence to surgeons. Read more on Nvidia and its use of generative AI in the pharmaceutical industry here.

Research Triangle Park…

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Medical imaging AI startup Flywheel wins Series D round backed by NVIDIA, Microsoft and HPE

[Image courtesy of Flywheel]

Minneapolis-based Flywheel has received $54 million in a Series D round backed by NVIDIA, Microsoft, Hewlett Packard Enterprise and other strategic investors.

Flywheel will invest the cash to fuel growth in core verticals, the pharmaceutical and public sector healthcare sectors. A notable Big Pharma customer is Genentech. The company also aims to ramp up expansion into emerging areas such as healthcare providers, payers, IT service providers and software vendors. Finally, Flywheel intends to extend its global footprint, especially in key markets in Europe.

Current challenges in medical AI

Medical imaging has long faced challenges with data complexity and a mosaic of metadata and formats, including DICOM (Digital Imaging and Communications in Medicine) to JPG or TIFF and modalities spanning MRI, CT, PET and ultrasound. Despite some standardization, fragmented formats prevail fr…

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