research [Molecular cloning of full-long cDNA sequences encoding hairless gene in the Kunming mouse].
The hairless gene in Kunming mice is important for hair and skin, and shows genetic variations.
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research Reflectance confocal microscopy assessment of alopecia: A case report
Reflectance confocal microscopy helped diagnose and manage a woman's hair loss without needing a biopsy.
research 268 Use of ultra-fast one-step CK5 ihc for identifying bcc and scc during mohs surgery
A new one-step test can quickly identify skin cancer during surgery.
research Detection of lentiviral constructs for release testing of CAR- T cells using digital droplet PCR
The new ddPCR method reliably detects unwanted viruses in CAR-T cell products, ensuring their safety for patients.
research A mechanism-informed deep neural network enables prioritization of regulators that drive cell state transitions
A new neural network helps identify key regulators in cell changes, aiding in understanding diseases and finding new treatments.
research The Dark Side of the Language: Syntax-Based Neural Networks Rivaling Transformers in Definitely Unseen Sentences
Syntax-based neural networks can match Transformers in handling unseen sentences.
research Neurospectrum: A Geometric and Topological Deep Learning Framework for Uncovering Spatiotemporal Signatures in Neural Activity
Neurospectrum effectively analyzes neural signals to predict and identify brain activity patterns better than traditional methods.
research An Analysis of Alopecia Areata Classification Framework for Human Hair Loss Based on VGG-SVM Approach
The VGG-SVM method accurately identifies and classifies stages of Alopecia Areata and other hair loss conditions.
research Comparative Analysis of Machine Learning Algorithms in Diagnosis of Polycystic Ovarian Syndrome
The Random Forest algorithm was the most accurate at diagnosing Polycystic Ovarian Syndrome.
research Analysis of trichoscopic images using deep neural networks for the diagnosis and activity assessment of alopecia areata – a retrospective study
AI can accurately diagnose and assess alopecia areata using scalp images.