The pharma predictive analytics market offers opportunities in AI-driven drug discovery, maximizing healthcare and real-world data usage, and leveraging hybrid cloud deployments for improved data ...

Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...

In a recent study published in The Lancet Digital Health, researchers performed a meta-analysis to evaluate the quality and performance of deep learning and machine learning models for long-term ...

Key market opportunities in AI for omics studies include the demand for precision medicine, adoption of AI in drug discovery, and AI-powered multi-omics data integration. Emphasis on personalized ...

By 2050, urban centers will house nearly 70% of the global population. Transitioning to localized food production via Urban Agriculture (UA) including ...

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly accessible ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...