Results 181 to 190 of about 223,220 (289)

Validated, Reliable, and Novel Skin Frailty Scale for Outpatient Usage and Its Association With Age, Sex, and Non‐Melanoma Skin Cancer: An Observational Study

open access: yesJEADV Clinical Practice, EarlyView.
Skin frailty (SF) is a common condition affecting adults aged ≥65 years. However, the lack of a validated and reliable visual scale to assess SF severity is a barrier to clinical care and research. In this study, we developed a 9‐parameter Skin Frailty Score (SFS), validated by two board‐certified dermatologists and meeting item and scale level content
Po‐Han Ho   +9 more
wiley   +1 more source

Non-Melanoma Skin Cancer: Assessing the Systemic Burden of the Disease. [PDF]

open access: yesCancers (Basel)
Karampinis E   +9 more
europepmc   +1 more source

Startups Driving Artificial Intelligence Into Clinical Dermatology

open access: yesJEADV Clinical Practice, EarlyView.
ABSTRACT Artificial intelligence (AI) is rapidly transitioning from innovation to routine clinical application in dermatology. This review examines how AI‐enabled technologies are being developed and integrated across diverse clinical purposes and workflows.
Dominique Du Crest   +10 more
wiley   +1 more source

Metastatic Head and Neck Non-Melanoma Skin Cancer: A Retrospective Analysis of Clinico-Pathologic Features and Reconstructive Approach. [PDF]

open access: yesJ Clin Med
Costan VV   +7 more
europepmc   +1 more source

Dosimetric Impact of Air Gaps in High-Dose-Rate Contact Interventional Radiotherapy (Modern Brachytherapy) for Non-Melanoma Skin Cancer of the Ear. [PDF]

open access: yesJ Clin Med
Rosa E   +12 more
europepmc   +1 more source

Data‐Independent Acquisition Mass Spectrometry in Tumor Classification and Cancer Biomarker Research

open access: yesMass Spectrometry Reviews, EarlyView.
Abstract Cancer treatment is far from optimal also because current classification systems do not reflect the complex molecular status of the tumor and its phenotype in sufficient detail. To construct molecular tumor classifiers, omics tools provide complex molecular data reflecting many aspects from genotype to phenotype.
Jan Simonik   +3 more
wiley   +1 more source

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