research Revolutionizing Hair Fall Analysis: The Advanced Precipitation U-Net Model
The Advanced Precipitation U-Net Model improves early hair fall detection with 92% accuracy.
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360-390 / 1000+ resultsresearch VITILIGO: WHAT’S OLD, WHAT’S NEW?
Vitiligo treatments are improving but relapses are common.
research Knockout of the ING5 epigenetic regulator confirms roles in stem cell maintenance and tumor suppression in vivo
ING5 is crucial for stem cell maintenance and preventing certain cancers.
research Hair cluster detection model based on dermoscopic images
The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.
research Self-Assembled Peptide Hydrogels in Regenerative Medicine
Peptide hydrogels show promise for healing skin, bone, and nerves but need improvement in stability and compatibility.
research Male pattern hair loss: Can developmental origins explain the pattern?
Male pattern hair loss may be linked to the developmental origins of hair follicles.
research Unravelling a novel role for Cannabidivarin in the modulation of subventricular zone postnatal neurogenesis
Cannabidivarin (CBDV) helps new brain cells grow and develop in a specific brain area through a certain receptor.
research 1376 A multi-scale spatial atlas of human skin links cancer cell states to site of origin
The research shows that skin cancer likely originates from hair follicles and that certain cell populations expand to promote skin cancer growth.
research 203 Automated skin surface phenotype for melanoma risk assessment
An automated method accurately assesses melanoma risk using 3D body images to analyze skin traits.
research Hair growth and restoration by transcriptional control of tissue regeneration in cancer recovery process by Huaier.
Huaier helps hair grow back and repairs tissue after cancer treatment.
research A proposed etiopathology of persistent dysfunctions emerging from use and discontinuation of 5-alpha reductase inhibitors: sequelae of drug-mediated microvasculopathy
The document suggests that drugs for prostate issues might cause lasting sexual, mental, and physical health problems due to blood vessel damage in the penis.
research 1040 Photographing alopecia - How many pixels are needed for clinical evaluation?
Higher resolution images are needed to identify scarring and fine hair in alopecia.
research Notch Signaling in Hair Follicle Development
The Notch signaling pathway is important for hair follicle development and could help create treatments for hair disorders.
research Discovery of HAP Stem Cells
HAP stem cells in hair follicles could help repair nerves and spinal cords.
research Developmental Regulation of Prion Expression in Cattle and Mouse Embryonic Stem Cells
PrPC is important for neural differentiation in cattle and mouse embryonic stem cells.
research Regenerative Biology and Medicine
The book explains the science of tissue repair and regeneration, its medical uses, challenges, and ethical concerns.
research Human Hair Derived Keratins Mediate Schwann Cell Behavior in vitro and Facilitate Rapid Peripheral Nerve Regeneration in vivo
Human hair keratins help nerve regeneration and support Schwann cell activity.
research The hair in childhood and old age
Hair growth issues can be linked to genetics, diseases, or medications, and new treatments are being developed.
research Generation and characterization of hair-bearing skin organoids from human pluripotent stem cells
Scientists created hair-growing skin models from stem cells, which could help treat hair loss and skin diseases.
research Homing of stem cells to sites of inflammatory brain injury after intracerebral and intravenous administration: a longitudinal imaging study
Stem cells can move to brain injury sites and be tracked, showing promise for treating brain diseases.
research Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
The new method improves skin cancer detection in imbalanced datasets.
research Prediction of Alopecia Areata using CNN
A new CNN model can detect Alopecia Areata with 98% accuracy.
research Trichoscopy of Alopecia Areata: Hair Loss Feature Extraction and Computation Using Grid Line Selection and Eigenvalue
Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.
research Ensemble of pre-learned deep learning model and an optimized LSTM for Alopecia Areata classification
The new model improves Alopecia Areata classification accuracy to 93.1%.
research Hair & Scalp Disease Detection Using Machine Learning & Image Processing
AI can accurately diagnose hair and scalp conditions and suggest treatments.
research Hair Tone Estimation at Roots via Imaging Device with Embedded Deep Learning
The device accurately estimates natural hair color at the roots in real time.
research SNP variation in male pattern hair loss in Russians with different dihydrotestosterone levels
Certain gene variations increase male hair loss risk, influenced by hormone levels.
research Quantitative analysis and development of alopecia areata classification frameworks
A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
research A Novel Fusion Technique for Early Detection of Alopecia Areata Using ResNet-50 and CRSHOG
AlopeciaDet accurately detects Alopecia Areata early using advanced image analysis.
research Hair and scalp disease detection using deep learning
Deep learning can effectively detect hair and scalp diseases early.