The transformation of provider lifecycle management through AI and automation represents more than just technological ...

A senior medical practitioner is discussing things with his hospital administrator or pharmaceutical rep. getty. Here are three healthcare data and technology opportunities and insights on how to ...

More information: Frank Emmert-Streib et al, Complexity data science: A spin-off from digital twins, PNAS Nexus (2024). DOI: 10.1093/pnasnexus/pgae456 Provided by PNAS Nexus ...

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...

Even the most powerful AI models, including ChatGPT, can make surprisingly basic errors when navigating ethical medical ...

CAMP ASAKA, Japan — The speed, complexity, and volume of potential casualties of future large-scale combat operations will demand well trained and efficient U.S. Army medics and a data centric ...

Making data usable for AI applications is the most-cited data challenge companies expect in 2025-2026, and nearly one-third of enterprises expect data quality, accuracy and consistency to be one ...

While Microsoft connects all its data products through the Fabric strategy, OneLake technology actually stores the data. There is tremendous complexity in having a unified data lake that handles ...

Data centers are built for machines, not people.” The growing need to control data centers remotely centers chiefly on their energy consumption, but also on security requirements, he continued. “If ...

That means more data, more frameworks, more use cases, more velocity of information, more complexity. I believe what is being built now isn’t just bigger. It’s different.