311-320 items (total 701)
Published At April 12, 2023
Elucidating the Mechanism that Determines the Left-Right Balance of Amino Acids in the Body: A Tug-of-War with Symbiotic Bacteria that Invert Chirality
Public Relations Office
Published At April 10, 2023
"SWIFT" (Tentative Name), a Program to Support the Detection and Severity Assessment of Depression, Designated as the First Software as a Medical Device for Priority Review by the Ministry of Health, Labour and Welfare
Public Relations Office
Published At April 05, 2023
World's First Successful Prediction of Molecular Adsorption on Solid Surfaces Using Next-Generation Computing
Public Relations Office
Published At April 04, 2023
Launching Production of "Environmentally Friendly Akaushi Beef" for Ethical Consumption and Producer Support from Industry, Academia, Government, and Financial Institutions—Fattening Cattle with Feed Expected to Suppress Methane Emissions and Launching Investment-based Crowdfunding with Financial Institutions for Social Impact—
Public Relations Office
Published At April 04, 2023
Keio Graduate School of System Design and Management to Exhibit at Salone del Mobile.Milano in Italy -Exhibiting Three Solutions under the Theme "Arranges the flow"- (April 17-23)
Public Relations Office
Published At April 04, 2023
Office of Innovation and Entrepreneurship Website Renewed
Public Relations Office
Published At April 03, 2023
Discovery that SARS-CoV-2 and its variants efficiently infect microglia, the brain's immune cells, without infecting neurons
Public Relations Office
Published At April 03, 2023
Keio University's Faculty of Nursing and Medical Care and Fujisawa City Sign Agreement to Promote Community Health Activities
Public Relations Office
Published At April 03, 2023
Controlling the Diradical Character of Charged π-Electron Systems through Ion Pair Formation—Promising for the Development of Electronic and Photofunctional Materials Using Electron Spins
Public Relations Office
Published At March 30, 2023
A Computational Method for Evaluating the Frictional Properties of Various Lubricants—An approach combining molecular dynamics simulations and machine learning makes it possible to estimate frictional properties from molecular motion—
Public Relations Office