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Omics-Based Mathematical Modeling Unveils Pathogenesis of Periodontitis in an Experimental Murine Model
C. Fujihara, K. Murakami, S. Magi, D. Motooka, T. Nantakeeratipat, A. Canela, Reiko Tanaka, M. Okada, S. Murakami
DOI
A report and proposals for future activity from the inaugural Artificial Intelligence (AI) in Dermatology symposium held at the International Societies for Investigative Dermatology (ISID) 2023 meeting
Shannon Wongvibulsin, Tobias Sangers, Claire Clibborn, Yu-Chuan (Jack) Li, Nikhil Sharma, John E.A. Common, Nick J. Reynolds, Reiko Tanaka
DOI
Reliable detection of eczema areas for fully automated assessment of eczema severity from digital camera images
Rahman Attar, Guillem Hurault, Zihao Wang, Ricardo Mokhtari, Kevin Pan, Bayanne Olabi, Eleanor Earp, Lloyd Steele, Hybel C. Williams
Cite DOI
Determining the clinical applicability of machine learning models through assessment of reporting across skin phototypes and rarer skin cancer types: A systematic review
Lloyd Steele, Xiang Li Tan, Bayanne Olabi, Jing Mia Gao, Reiko Tanaka, Hywel C. Williams
Cite DOI
EczemaPred: A computational framework for personalised prediction of eczema severity dynamics
Prediction of the patient-pecific dynamic evolution of AD severity by EczemaPred will help manage and anticipate fluctuating disease symptoms, contributing to personalised medicine.
Guillem Hurault, Jean François Stalder, Sophie Mery, Alain Delarue, Markéta Saint Aroman, Gwendal Josse, Reiko Tanaka
Cite Code DOI R Package
Detecting eczema areas in digital images: an impossible task?
Guillem Hurault, Kevin Pan, Ricardo Mokhtari, Bayanne Olabi, Eleanor Earp, Lloyd Steele, Hywel C. Williams, Reiko Tanaka
Cite Code DOI MedRxiv
Data-driven research on eczema: systematic characterization of the field and recommendations for the future
Ariane Duverdier, Adnan Custovic, Reiko Tanaka
Cite Code DOI MedRxiv
Can serum biomarkers predict the outcome of systemic immunosuppressive therapy in adult atopic dermatitis patients?
Guillem Hurault, Evelien Roekevisch, Mandy .E. Schram, Krisztina Szegedi, Sanja Kezic, Maritza A. Middelkamp-Hup, Phyllis I. Spuls, Reiko Tanaka
Cite Code DOI MedRxiv
Model-based meta-analysis to optimise $\mathit{S.}$ $\mathit{aureus}$-targeted therapies for atopic dermatitis
Takuya Miyano, Alan D. Irvine, Reiko Tanaka
Cite Code DOI MedRxiv
Impact of environmental factors in predicting daily severity scores of atopic dermatitis
Guillem Hurault, Valentin Delorieux, Young‐Min Kim, Kangmo Ahn, Hywel C. Williams, Reiko Tanaka
Cite Code DOI MedRxiv