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NIH inventors have developed an image-based machine learning system that is able to validate functional cell phenotypes. The system may be trained to automatically recognize image features that correlate with a desired cell-type or properties for research, diagnostic, and therapeutic purposes. This
Dr. Wiliam J. Pavan and his team at National Human Genome Research Institute (NHGRI) have established a novel diagnostic tool to predict time of onset for the rare neurodegenerative Niemann-Pick disease type C (NPC). The npc1 gene mutation leads to the lysosomal lipid storage disorder in neuronal
NCI research team, led by Dr. Mark Schiffman at Division of Cancer Epidemiology and Genetics (DCEG), is conducting a “Cervix Image Sharing Protocol (CISP)” study on artificial intelligence (AI) approach for better and low-cost screening and diagnosis of cervical cancer. TTC executed 14 Data Transfer
The European medical innovation journal, MedNous, featured a story in its March issue entitled “NCI and Industry: Moving Innovations from the Lab to Patients” authored by Michael Salgaller and Michele Newton. MedNous is both a print and online publication. NCI TTC is highlighted in the both the