Alzheimer’s research is latest casualty in Trump administration war against ‘DEI’

A new round of scientific grant cancellations has hit brain health and Alzheimer’s disease research at two leading research institutions, Emory University and the University of Pittsburgh.

The latest cancellations are the Trump administration’s most recent effort to remove disfavored topics from the National Institutes of Health (NIH) $47bn scientific portfolio – and appear to target the study of the impacts of racism.

Hayden Panettiere obituary: A life of struggles alongside screen success

Hayden Panettiere's head seen turned to look behind her and smile softly, in front of a red backgroundImage source, Reuters

ByIan Youngs

Culture reporter

Hayden Panettiere, who has died at the age of 36, lived most of her life in the spotlight - from success as a child star to lead roles in hit TV shows Heroes and Nashville - but also endured struggles that went along with the pressures of fame.

Council Post: From Co-Pilots To Co-Workers: The Agentic AI Shift Coming To Healthcare Operations

Tammy Hawes is a healthcare tech executive who founded Virsys12 (acquired by Healthstream) and now serves as VP, Payer Solutions.

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For the past two years, most of healthcare's AI conversation has centered on the co-pilot—a smart assistant that drafts a note, summarizes a chart or answers a question while a human stays firmly in the driver's seat. That framing is already starting to feel dated. Agentic AI—systems that don't just suggest but act—is beginning to move into healthcare's administrative core, and it will change how operations run long before it changes what happens at the bedside.

Council Post: ​Why Your AI Power Problem Isn't Where You Think It Is

David Schie, CEO AIStorm Inc, CEO Linear Dimensions.

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The hardware industry has a power problem, and it's not the one most teams are trying to solve.

I've watched engineering leaders optimize neural networks, swap accelerators and tune every parameter only to find their devices drain batteries faster than expected. While many leaders think the issue is the models, the underlying architecture is most often the culprit.