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