Drug Discovery Accelerated by Transformer Neural Networks

Get deep insights into the crucial role of GPU-powered transformer AI models for accelerating pharmaceutical innovation and designing new therapies.

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Disrupting Drug Development with Evolutionary AI and HPC

Get analyst insights on the importance of GPU-powered transformer neural networks for accelerating drug discovery and development. From top industry challenges and use cases to applications for fighting COVID-19, this IDC Perspective highlights everything you need to know about the growing importance of neural networks in drug discovery.

Training Biomedical NLP Models

Leveraging real-world data to build clinical language models is enabling the development of precision medicine strategies, the prediction of health outcomes, and assisting in patient recruitment.

AI-Powered Protein Structure Prediction

Understanding the 3D form of a protein is very complex, challenging, expensive, and time-consuming. Machine learning is enabling rapid, accurate prediction of protein structures.

HPC to Hyperscale Compound Screening

Transformer-enabled supercomputing is replacing computationally-intensive physics-based approaches to evaluate billions of compounds in minutes.

Accelerate COVID-19 research for vaccinations and treatments.

Accelerating COVID-19 Research

From genome analysis to cryo-EM and advanced molecular simulations, GPU-powered solutions are accelerating discovery of vaccines and therapies for COVID-19.

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