Leidos has committed $10 million to a five-year collaboration with the University of Pittsburgh’s Computational Pathology and AI Center of Excellence (CPACE). The focus is on developing AI tools to enhance the detection of diseases such as heart disease and cancer. The initiative aims to reduce diagnostic turnaround times, enabling earlier and more effective care management. A research hub will be established at the University of Pittsburgh to further CPACE’s digital pathology research and healthcare solutions. The partnership will also explore new imaging methods, advanced scanning technologies, and improved techniques for analyzing medical images. Educational programs, symposiums, and internships will be part of the initiative, providing students with hands-on experience alongside Leidos employees.
Tsarathustra
@tsarnick
·
Jan 22 Google DeepMind CEO Demis Hassabis says their AlphaFold AI system has performed a billion years of PhD work and they will have their first drugs in the clinic by the end of the year, with cancer, heart disease and neurodegenerative diseases on the list of targets
goodalexander
@goodalexander
·
Feb 15 The Incremental Buyer (doomer family offices) [long read]AI and Innovation
the reality is that despite every AI executive saying that AI will result in a health revolution, the Genomics and Biotech ETF is down 34% since 2020. And this is after we got global traction for the
Pitt Health Sciences
@PittHealthSci
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18h How can AI revolutionize health care?A $10M investment by
@LeidosInc
in #PittMed’s CPACE is developing AI tools to speed up diagnoses of heart disease, cancers and more!
Impakt CEO (Winston) – AI Agents for Fitness
@winston_zin
·
Jan 22 The $4.5 TRILLION health industry’s biggest fear:A small Japanese island where disease barely exists.Their simple methods cost nothing but adds decades to life.Here’s the ancient practice Big Pharma doesn’t want you to know:
Kyriakos Eleftheriou
@kyriakosel
·
20h Multimodal AIs are replacing processes in healthcare systems and hospitals
@chemistry_fund
just led a $26M round into Assort Health — an AI that:• Schedules appointments
• Answers patient questions
• Learns how clinics operateHere’s why
@ethankurz
is betting big on it.
The Royal Vox Post
@RoyalVoxPost
·
Apr 18 #DrugDiscovery #AI: researchers have developed a machine learning model to predict therapeutic targets for rare and orphan diseases from target perturbation signatures. The model could facilitate drug development for rare and orphan diseases – https://nature.com/articles/s41467-025-58464-4…
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