Results 201 to 210 of about 123,035 (391)

Extensive discohesive melanoma: additional challenges beyond the Breslow Index. [PDF]

open access: yesAn Bras Dermatol
Quintella DC   +4 more
europepmc   +1 more source

Insights into lysosome-related organelle biogenesis: melanosome as a model organelle. [PDF]

open access: yesFront Cell Dev Biol
Barral DC   +5 more
europepmc   +1 more source

Altered E-Cadherin Levels and Distribution in Melanocytes Precede Clinical Manifestations of Vitiligo.

open access: yesJournal of Investigative Dermatology, 2015
Roselyne Y Wagner   +12 more
semanticscholar   +1 more source

Diagnosing Systemic Mastocytosis: State of the Art

open access: yesInternational Journal of Laboratory Hematology, EarlyView.
ABSTRACT With the advent of effective multikinase and selective tyrosine kinase inhibitors in systemic mastocytosis, diagnosing this rare disease has been critical to improving patient morbidity and mortality. This state‐of‐the‐art review interprets the international diagnostic criteria, including differences between the WHO 5th edition classification ...
Anton Rets, Tracy I. George
wiley   +1 more source

Clinical heterogeneity in vitiligo: Identification of clinical markers based patient clusters

open access: yesJournal of the European Academy of Dermatology and Venereology, EarlyView.
Vitiligo is a chronic autoimmune disease with heterogeneous clinical presentations. This study analysed 399 patients using hierarchical clustering and identified five phenotypes based on clinical characteristics and lesion distribution. Two groups exhibited high disease activity and extensive involvement.
Laura Galissi   +8 more
wiley   +1 more source

Exosomes released by keratinocytes modulate melanocyte pigmentation [PDF]

open access: gold, 2015
Alessandra Lo Cicero   +9 more
openalex   +1 more source

A deep learning–clinical nomogram hybrid for predicting sentinel lymph node metastasis in melanoma

open access: yesJournal of the European Academy of Dermatology and Venereology, EarlyView.
We developed MISSLE, a deep learning–clinical nomogram hybrid model, to predict sentinel lymph node metastasis in invasive cutaneous melanoma with a high area under the receiver operating characteristic curve of 0.950 on the test set. MISSLE identifies key histopathological features and integrates AI for improved clinical decision‐making.
Minh‐Khang Le   +8 more
wiley   +1 more source

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