research 311 Single-cell transcriptomics reveals distinct molecular programs in folliculotropic mycosis fungoides
Folliculotropic mycosis fungoides has unique molecular features and cell interactions that could guide targeted therapy.
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research Dunnigan-Type Familial Partial Lipodystrophy: Understanding and Treating the Syndrome
The document concludes that managing Dunnigan-Type Familial Partial Lipodystrophy involves treating associated health issues and using medications like metformin and leptin replacement.
research 555 Dermal single-cell atlas: a novel tool to explore fibroblast heterogeneity
A new tool helps study hair follicle cells to develop better treatments for hair disorders.
research Frontal fibrosing alopecia
Frontal fibrosing alopecia is a scarring hair loss condition mainly affecting older women, with no known cause and treatments that may help stabilize hair loss.
research Influence of dietary feathers on the fecal microbiota in captive Arctic fox: Do dietary hair or feathers play a role in the evolution of carnivorous mammals?
Feathers in diet increase gut bacteria diversity in Arctic foxes.
research Fibrosing alopecia in a pattern distribution
Fibrosing alopecia in a pattern distribution is a hair loss condition often confused with other types, requiring early treatment but usually not resulting in significant hair regrowth.
research Frontal Fibrosing Alopecia in Men: Presentations in 12 Cases and a Review of the Literature
FFA in men, often mistaken for other hair loss types, may be more common than thought and needs larger studies for confirmation.
research An ear for an ear, but only if you are a deomyinid
Only Deomyinae rodents can regenerate complex tissues.
research Examination of Clinical and Demographic Characteristics of 14 Cases with Frontal Fibrosing Alopecia
Early diagnosis and treatment can prevent or delay frontal fibrosing alopecia progression in postmenopausal women.
research An Integrated Approach for Diabetes Detection Using Fisher Score Feature Selection and Capsule Network
The method accurately detects diabetes with 94% effectiveness, reducing misdiagnosis risk.