research Data-Driven Machine-Learning Methods for Diabetes Risk Prediction
Machine learning can effectively predict type 2 diabetes risk.
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960-990 / 1000+ resultsresearch Integrated multiple machine learning and Mendelian randomization reveal LTF gene as a prognostic biomarker for nonspecific orbital inflammation
The LTF gene may help predict and manage nonspecific orbital inflammation.
research Monitoring spatially resolved trace elements in polar bear hair using single spot laser ablation ICP-MS
Laser ablation ICP-MS is effective for tracking trace elements in polar bear hair over time.
research Temporal Triangular Alopecia: Report of Five Cases in Asian Children
Temporal triangular alopecia is a non-scarring hair loss seen in some Asian children.
research A powerful method for pleiotropic analysis under composite null hypothesis identifies novel shared loci between Type 2 Diabetes and Prostate Cancer
New method finds genetic links between Type 2 Diabetes and Prostate Cancer not seen before.
research 1616 Cross-comparison of inflammatory skin disease transcriptomics identifies PTEN as a pathogenic disease classifier in cutaneous lupus erythematosus
PTEN was identified as a specific marker for the skin disease cutaneous lupus erythematosus, and it helps increase the expression of harmful type I interferons.
research Obtener información gratuita Implantes de Cabello
research Kin‐cohort analysis of LRRK2‐G2019S penetrance in Parkinson's disease
The LRRK2-G2019S mutation in Parkinson's disease has a lifetime penetrance of 25-35%, and finasteride may help reduce symptoms in adult male Tourette syndrome patients.
research Weakly-Supervised Hair SEM Microscope Image Segmentation Using a Priori Structure Information
The method improves hair image segmentation accuracy while reducing annotation costs.
research The innervation of the mystacial pad in the adult rat studied by anterograde transport of HRP conjugates
The mystacial pad's innervation in adult rats is more complex than previously thought.
research A frameshift mutation in HTRA1 expands CARASIL syndrome and peripheral small arterial disease to the Chinese population
A new genetic mutation linked to CARASIL syndrome and small artery disease was found in a Chinese family.
research Development of an improved method to estimate the days of continuous drug ingestion, based on the micro‐segmental hair analysis
Researchers improved a method to more accurately estimate when and how long a drug was taken using hair analysis.
research FRCNN based Deep Learning for Identification and Classification of Alopecia Areata
The model accurately detects alopecia areata with 84.3% accuracy.
research Clinical and dermatoscopic features of temporal triangular alopecia in infants
Temporal triangular alopecia in infants is mostly seen in males at birth, with unique features that help with diagnosis.
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.
research A quantitative technique to analyze and evaluate microstructures of skin hair follicles based on mueller matrix polarimetry
The technique accurately identifies and evaluates hair follicle structures in skin.
research A new mutation Rim3 resembling Re den is mapped close to retinoic acid receptor alpha (Rara) gene on mouse Chromosome 11
research Étude PCPT : les biais attendus et leur gestion
Systematic end-of-trial biopsies are the most reliable way to assess outcomes.
research Triangular temporal alopecia: a rare case in adulthood
Triangular temporal alopecia can occur in adults and should be correctly identified to prevent misdiagnosis.
research TrichoScan: combining epiluminescence microscopy with digital image analysis for the measurement of hair growth in vivo.
TrichoScan accurately measures hair growth and showed improved hair counts and thickness after finasteride treatment.
research Scalp Disorder Imaging: How Deep Learning and Explainable Artificial Intelligence are Revolutionizing Diagnosis and Treatment
Deep learning and explainable AI are improving scalp disorder diagnosis, but challenges in transparency and data quality remain.
research Genetic prediction of male pattern baldness based on large independent datasets
New models predict male pattern baldness better than old ones but still need improvement.
research Weakly supervised learning of biomedical information extraction from curated data
The method can effectively extract biomedical information without needing expert annotation, performing better than previous models.
research Dynamic Trichoscopy
Trichoscopy is useful for diagnosing and monitoring hair and scalp conditions over time.
research Forensic DNA Phenotyping: Male Pattern Baldness: Traditional Review
DNA markers can help predict male pattern baldness, useful in criminal and missing person cases.
research Rapid Screening of Anticoagulation Compounds for Biological Target-Associated Adverse Effects Using a Deep-Learning Framework in the Management of Atrial Fibrillation
The framework helps predict adverse effects of blood thinners, improving drug selection for atrial fibrillation.
research Unraveling the Strand: A Comprehensive Review on the Forensic Significance of Microscopic Human Scalp Hair Analysis
Microscopic hair analysis is important in forensics but has limitations; new technologies are improving its accuracy.
research Case report: Heterozygous mutation in HTRA1 causing typical cerebral autosomal recessive arteriopathy with subcortical infarcts and leukoencephalopathy
A heterozygous mutation in HTRA1 can cause severe CARASIL symptoms.
research Quantitative mapping of melanin in hair fibers using fluorescence lifetime imaging microscopy
research Forensic Analysis of Hair by Infrared Spectroscopy
Infrared spectroscopy can analyze hair for forensic and medical insights.