Interpretable Machine Learning Model for Fungal Infection Prediction: A Real‐World Study
Our study successfully developed and validated a machine learning model based on large‐scale electronic health record data to predict the risk of fungal infections in hospitalized patients. Through a Streamlit‐powered web platform, the model was seamlessly embedded into clinical workflows, completing the full pipeline from model construction to real ...
Jinru Yang +5 more
wiley +1 more source
ABSTRACT Background Robust outcome data for anterior skull base cutaneous squamous cell carcinoma (cSCC) are limited, particularly as emerging therapies reshape management. We evaluated survival and prognostic factors following craniofacial resection. Methods Retrospective multi‐institutional case‐series (1995–2015) of patients who underwent skull base
Michael J. C. Schachtel +52 more
wiley +1 more source
Sex differences in donor T cell targeting of host splenocyte subpopulations in acute and chronic murine graft-vs-host disease: results from a novel induction and assessment protocol with implications for lupus-like autoimmunity. [PDF]
Soloviova K, Via CS.
europepmc +1 more source
Correction to: "Severe Hypertriglyceridemia in a Patient Treated With Sirolimus for Graft-vs-Host Disease Prophylaxis". [PDF]
europepmc +1 more source
Performance of Treatment Response Assessment at Day 7 by Baseline Acute Graft-versus-Host Disease Severity. [PDF]
Louloudis IE +33 more
europepmc +1 more source
Histopathologic Grading of Acute Cutaneous Graft-vs-Host Disease and Nonrelapse Mortality.
Chen J +5 more
europepmc +1 more source
Erosive Tarsal Conjunctival Lesions Following Immunogenic Events in Early Development of Ocular Graft-vs-Host Disease. [PDF]
Kohnstam MG, Surico PL, Luo ZK.
europepmc +1 more source
Editorial: Cellular Therapies: Past, Present and Future
Ralf Dressel +3 more
doaj +1 more source

