Publications by authors named "T Shiraga"

Simple sensor-based procedures, including auscultation and electrocardiography (ECG), can facilitate early diagnosis of valvular diseases, resulting in timely treatment. This study assessed the impact of combining these sensor-based procedures with machine learning on diagnosing valvular abnormalities and ventricular dysfunction. Data from auscultation at three distinct locations and 12-lead ECGs were collected from 1052 patients undergoing echocardiography.

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Article Synopsis
  • Researchers created a smartphone app using artificial intelligence (AI) to help doctors check for a serious heart condition called aortic valve stenosis (AS), especially in older people.
  • They tested different AI methods to improve how accurately the app can detect AS by listening to heart sounds from various parts of the body.
  • The app performed really well, detecting AS with high accuracy, and it could help doctors learn more about heart sounds and give remote help to patients.
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Cell adhesion molecule 1 (CADM1), a member of the immunoglobulin superfamily, is identified as a novel cell surface marker for human T-cell leukemia virus (HTLV-1)-infected T cells. Adult T-cell leukemia/lymphoma (ATLL) is developed in HTLV-1-infected T-cells after a long infection period. To examine the mechanism of CADM1 overexpression in ATLL, we first identified that CADM1 is transcriptionally up-regulated by a transcriptional enhancer element through NF-κB signaling pathway.

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Darexaban maleate is a novel oral direct factor Xa inhibitor. Darexaban glucuronide (YM-222714) was the major component in plasma after oral administration of darexaban to humans and is the pharmacologically active metabolite. Additionally, YM-222714 N-oxides were detected as minor metabolites in human plasma and urine.

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Cell adhesion molecule 1 (CADM1/TSLC1) was recently identified as a novel cell surface marker for adult T-cell leukemia/lymphoma (ATLL). In this study, we developed various antibodies as diagnostic tools to identify CADM1-positive ATLL leukemia cells. In flow cytometric analysis, the percentages of CD4(+)CADM1(+) double-positive cells correlated well with both the percentages of CD4(+)CD25(+) cells and with abnormal lymphocytes in the peripheral blood of patients with various types of ATLL.

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