AI method can spot potential disease faster, better than humans
A “deep learning” artificial intelligence model developed at WSU can identify signs of disease in images of animal and human tissue much faster, and often more accurately, than people.
Related Articles
Will AI driven legaltech replace lawyers or simply create a massive productivity boost?
Specialised AI assistants offer valuable efficiency gains for the legal industry. But will AI replace lawyers?
Study Finds Supplementation with 2′-Fucosyllactose Effective for Preventing Food Allergy
In this analysis, the benefits of 2’-FL for mothers’ offspring with regard to allergies were highlighted by investigators.
AI tool ‘sees’ cancer gene signatures in biopsy images
Researchers used artificial intelligence to predict the activity of thousands of genes in tumors based on routinely collected images of tumor biopsies. It could guide…
US says MetLife unit reached settlement over Iran sanctions violations
The U.S. Treasury Department said on Thursday that New York-based insurer MetLife’s unit, American Life Insurance Co, agreed to settle its potential civil liability for…
Apple to launch AI wall tablet in smart home market push
Apple is preparing to launch a new AI wall tablet, aiming to strengthen its position in the smart home market, reported Bloomberg.
HHS sued over public access to Medicare Advantage audit records
Freedom of Information Act case targets HHS inspector general’s reviews of billions of dollars in health plan overpayments.
New Pentagon report on UFOs includes hundreds of new incidents
The Pentagon has released a new report on UFOs that revealed hundreds of documented incidents of unidentified and unexplained aerial phenomena (UAPs).
79-Year-Old Patient with R/R Multiple Myeloma Achieves Complete Remission with CAR T-Cell Therapy
Patient with R/R multiple myeloma achieves deep response from CAR T-cell therapy
Trump’s health team: Who could be in the running?
As President-elect Donald Trump’s transition team vets candidates for key healthcare positions, pharmaceutical industry sources said the following people are possible appointees: