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Early diagnosis and treatment of Notoedres cati in cats is crucial for recovery and preventing reinfestation.

Beta-catenin boosts hair follicle cell growth by increasing c-myc expression.

Collider bias can mislead our understanding of COVID-19 risk and severity.

A new method improves the accuracy and reliability of language models by up to 42%.

A Cavalier King Charles Spaniel had both uveodermatological syndrome and alopecia areata, and treatment with ciclosporin helped regrow hair.

Cats with internal diseases can develop skin issues that may require specific treatments.

The cat fully recovered after treatment and showed no further symptoms.

A substance called TCQA could potentially darken hair by activating certain genes and increasing melanin.

Different types of hair loss in dogs and cats have various causes and treatments, with outcomes ranging from good to uncertain.

Gene expression, especially Dkk4, is key to cat color patterns.

The treatment was ineffective in humans.

Immunotherapy with pembrolizumab significantly reduced cancer in a young woman with adrenocortical carcinoma.

The new AI software predicts melanoma outcomes more accurately than traditional methods.

Cat color patterns are determined early in development by gene expression and epidermal changes, with the Dickkopf 4 gene playing a crucial role.

Cathepsin L deficiency causes large, abnormal cell structures and health issues in mice.

A gene variant in KRT71 causes the curly fur in Selkirk Rex cats.

Finasteride treatment increased blood volume and reduced vessel leakiness in beagle prostates.

Introducing the rat OTC gene normalized hair growth in SPF-ASH mice.

Reliable machine learning in medical imaging needs bias checks and data drift detection for consistent performance.

The model improves understanding of androgen interactions by focusing on signal intensity and system capacity.

The model improves understanding of androgen interactions by focusing on signal intensity and system capacity.

The new method improves skin cancer detection in imbalanced datasets.

CXXC5 can both suppress and promote cancer, making it a complex target for treatment.

Transfer learning with three neural network architectures accurately classifies hair diseases.

High-throughput LC-MS screening is effective for finding new autotaxin inhibitors for asthma treatment.

Turkish Van cats' genotypes don't affect traits like eye color or hair length.

The method can effectively extract biomedical information without needing expert annotation, performing better than previous models.