Lung cancer deaths prevented and life-years gained from lung cancer screening
Peer-Reviewed Publication
Updates every hour. Last Updated: 22-Nov-2025 01:11 ET (22-Nov-2025 06:11 GMT/UTC)
Targeting and treating diseases first requires being able to find specific cells—which is challenging because they travel within the body and can “hide.” Now, a new round of funding will support advancing technology invented at Case Western Reserve University that enhances the ability to locate therapeutic cells or diseased cells like cancer. Toward that goal, the National Institutes of Health awarded a $2.5 million Phase II Small Business Innovation Research (SBIR) grant jointly to CWRU and BioInVision Inc.
An AI tool that can analyse abnormalities in the shape and form of blood cells, and with greater accuracy and reliability than human experts, could change the way conditions such as leukaemia are diagnosed.
Complex digital images of tissue samples that can take an experienced pathologist up to 20 minutes to annotate could be analysed in just one minute using a new AI tool developed by researchers at the University of Cambridge. SMMILe, a machine learning algorithm, is able not only to correctly detect the presence of cancer cells on slides taken from biopsies and surgical sections, but it can predict where the tumour lesions are located and even the proportion of regions with different levels of aggressiveness.