A5069525721- Dermatology and Skin Diseases
- Asthma and respiratory diseases
- Machine Learning in Healthcare
- Urticaria and Related Conditions
- Artificial Intelligence in Healthcare
- IL-33, ST2, and ILC Pathways
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Health, Environment, Cognitive Aging
- Clinical practice guidelines implementation
- Biomedical Text Mining and Ontologies
- ECG Monitoring and Analysis
- HIV Research and Treatment
- Genetic Associations and Epidemiology
Kawamura Hospital
2024
RIKEN Center for Integrative Medical Sciences
2020-2023
RIKEN Center for Advanced Intelligence Project
2022-2023
Keio University
2023
Abstract Atopic dermatitis (AD) is a skin disease that heterogeneous both in terms of clinical manifestations and molecular profiles. It increasingly recognized AD systemic rather than local should be assessed the context whole-body pathophysiology. Here we show, via integrated RNA-sequencing tissue peripheral blood mononuclear cell (PBMC) samples along with data from 115 patients 14 matched healthy controls, specific presentations associate matching differential signatures. We establish...
For eradication of HIV-1 infection, it is important to elucidate the detailed features and heterogeneity HIV-1-infected cells in vivo. To reveal multiple characteristics HIV-1-producing vivo, we use a hematopoietic-stem-cell-transplanted humanized mouse model infected with GFP-encoding replication-competent HIV-1. We perform multiomics experiments using recently developed technology identify cells. Genome-wide integration-site analysis reveals that productive infection tends occur viral...
Persistent facial erythema represents a significant complication in atopic dermatitis (AD) patients undergoing treatment with dupilumab. Stratifying based on the course is crucial for elucidating heterogeneous phenotypes and facilitating advanced drug efficacy predictions.
In clinical research on multifactorial diseases such as atopic dermatitis, data-driven medical has become more widely used means to clarify diverse pathological conditions and realize precision medicine. However, modern data, characterized large-scale, multimodal, multi-center, causes difficulties in data integration management, which limits productivity science.
<title>Abstract</title> Patients’ conditions continue to change after the diagnosis, with each patient showing a different time course. Here, we propose dynamic prognostic risk assessment framework based on longitudinal data during hospitalization, using coronavirus disease (COVID-19) as an example. We extracted electronic medical records of 382 COVID-19 cases treated at Tokyo Shinagawa Hospital between 27 January and 30 September 2020. Gradient boosting decision trees were used predict...
<sec> <title>UNSTRUCTURED</title> Patients’ conditions continue to change after the diagnosis, with each patient showing a different time course. Here, we propose dynamic prognostic risk assessment framework based on longitudinal data during hospitalization, using coronavirus disease (COVID-19) as an example. We extracted electronic medical records of 382 COVID-19 cases treated at Tokyo Shinagawa Hospital between 27 January and 30 September 2020. Gradient boosting decision trees were used...
Abstract Atopic dermatitis (AD) is a skin disease heterogeneous both in terms of clinical manifestations and molecular profiles. It increasingly recognized that AD systemic rather than local should be assessed the context whole-body level biology. In this study, we integrated RNA-seq data PBMC along with from 115 patients matched 14 healthy controls aiming to comprehensively capture signature associated specific presentation. Analysis cross-tissue ligand-receptor coupling suggested increase...