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An international research collaboration, including Professor Iijima Kazumoto et al. (of the Department of Pediatrics, Kobe University Graduate School of Medicine) has revealed that NPHS1 […] By applying unsupervised and automated machine learning techniques to the analysis of millions of cancer cells, Rebecca Ihrie and Jonathan Irish, both associate professors of […] What began as a 51-year-old mystery comes down to a single gene, as researchers from the University of Chicago and University of California, San Francisco […] A new discovery about pancreatic cancer sheds light on how the cancer fuels its growth and may help explain how promising cancer drugs work—and for […] Leukemia affects over 6,000 Canadians per year. A team of researchers used the Canadian Light Source (CLS) at the University of Saskatchewan to discover a […] Whether it’s probing a child’s understanding of a topic through questions or engaging in hands-on activities alongside them, parents can guide their children to learn […] A network of very fine blood vessels that connects bone marrow directly with the blood supply of the periosteum that was previously overlooked has now […] HIGH POINT, N.C.–(BUSINESS WIRE)–Jan. 16, 2019– vTv Therapeutics Inc. (Nasdaq: VTVT) today announced the publication of a paper in Science Translational Medicine showcasing the discovery […]
Discovery of new disease-susceptibility gene for steroid-sensitive nephrotic syndrome
Discovery of aggressive cancer cell types made possible with machine learning techniques
Gene discovery solves 51-year-old mystery cause of inherited pancreatitis
Pancreatic cancer discovery reveals how the aggressive cancer fuels its growth
Hyperactivated ‘garbage disposal systems’: Revolutionary discovery in leukemia research
Simple directions from parents can guide children’s discovery
Discovery of blood vessel system in bones
vTv Therapeutics Announces Publication of Comprehensive Data in Science Translational Medicine Detailing the Discovery and Clinical Development of TTP399, including Results of Phase 2 AGATA Study
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