News - Page 25 of 69 - Yokohama City University

2022-06-20

The 2nd Online PBL Session with the University of Hawaii John A. Burns School of Medicine

Following the COVID-19 pandemic, the face-to-face meetings are delayed to an unknown date. However, the YCU School of Medicine deems international education essential for our students. As a solution to this issue, the University of Hawaii John A. Burns School of Medicine (JABSOM) kindly offered us an opportunity to hold an online “PBL Hawaii Style Workshop” on March 22nd and 24th, for the second time after the outbreak of COVID-19.

2022-06-14

Chronic Kidney Disease and Clinical Outcomes in Patients with COVID-19 in Japan

Background Identifying predictive factors for coronavirus disease 2019 (COVID-19) is crucial for risk stratification and intervention. Kidney dysfunction contributes to the severity of various infectious diseases. However, the association between on-admission kidney dysfunction and the clinical outcome in COVID-19 patients is unclear.

2022-06-14

Indole-3-pyruvic acid regulates TAA1 activity, which plays a key role in coordinating the two steps of auxin biosynthesis

Significance The plant hormone auxin (indole-3-acetic acid [IAA]) plays a central role in regulating plant growth and development, but the regulation of IAA biosynthesis is poorly understood. Here, we identified a key push and pull feedback mechanism, which governs auxin biosynthesis through the tryptophan aminotransferase TAA1. We demonstrate that novel inhibitors of TAA1 function in both monocots and eudicots and present a catalytic mechanism that explains both its substrate specificity and its inhibition.

2022-05-30

Rapid screening using pathomorphological interpretation to detect BRAFV600E mutation and microsatellite instability in colorectal cancer

Purpose: Rapid decision-making is essential in precision medicine for initiating molecular targeted therapy for patients with cancer. This study aimed to extract pathomorphologic features that enable the accurate prediction of genetic abnormalities in cancer from hematoxylin and eosin images using deep learning (DL).