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A Reality Check – When Lab-Trained AI Meets the Real World, "Mistakes Can Happen"

Contamination of tissue samples can mislead AI models, preventing them from making accurate diagnoses in real-world situations. Human pathologists undergo rigorous training to identify instances where tissue samples from one patient are accidentally placed on microscope slides meant for another pat
Ismail Irmakci Rujoi Zhou Mariavittoria Vescovo Ramin Nateghi Madeline Saft Jefferya Goldstein

Interdisciplinary dream team receives $3 million grant to revolutionize Alzheimer's diagnosis

What do a synthetic chemist, a medical imaging expert, and a neurologist have in common? They're coming together in the Biomedical Imaging Center at the Beckman Institute for Advanced Science and Technology to develop better diagnostic tools and imaging agents to detect early-stage Alzheimer's disease and other neurodegenerative diseases.
Janetg Lycan Livium Mirica Brad Sutton Daniela Llano Wawryzneic Wawosz Dobrucki Beckman Magnetic Resonance Imaging Laboratory

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Datavant Joins NSF and Partners in Launch of the National AI Research Resource (NAIRR) Pilot Providing Privacy-Preservation Technologies to Safeguard AI-Enabled Data

/PRNewswire/ -- In collaboration with 11 federal agencies, alongside private sector, nonprofit, and philanthropic organizations, the NAIRR pilot is set to...
United States Al Iskandariyah Vera Mucaj Sethuraman Panchanathan National Ai Research Resource National Institutes Of Health

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