A new study published in the Journal of Neurology1 detailed the development of 2 machine learning–based tools that were able ...

As AI accelerates across biopharma and other science-driven industries, organizations are encountering a critical bottleneck: advanced technologies fall short without proper scientific context. In a ...

At AACR, Guardant Health and a Japanese group showcased data on machine learning models that predict the tissue of origin in cancers of unknown primary.

As technology and regulations evolve, enterprises need to address data governance throughout pipelines, models, and AI agents ...

A robust and quantitative map links chromatin modification and gene expression of cells during zebrafish embryogenesis.

Embed technical assurance into vendor contracts, requiring evidence of performance/robustness/bias testing, transparency ...

Generative AI systems operate differently enough that some assumptions underpinning today's governance approaches warrant ...

Statistics show that by the end of last year, more than half of gen AI projects were abandoned after POC due in large part to ...

Intelligence without integrity is just sophisticated risk. To build AI that lasts, you have to apply zero-trust principles to ...

Modular engineering models improve speed, audit readiness and measurable outcomes, ISG Provider Lens® report says ...

In the past 18 months, the FDA has outlined clear guidelines for designing, documenting, updating, and monitoring AI-powered ...

The limitation for many companies investing in AI is not the sophistication of the models being deployed, but the lack of AI-ready data.