research Evaluation of Animal Models Suitable for Hair Research and Regeneration
Animal models, especially mice, are essential for advancing hair loss research and treatment.
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300-330 / 1000+ results research Decision letter: Deletion of the MAD2L1 spindle assembly checkpoint gene is tolerated in mouse models of acute T-cell lymphoma and hepatocellular carcinoma
Deleting the MAD2L1 gene in mice led to rapid tumor growth despite chromosomal instability.
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 A Model for Predicting Polycystic Ovary Syndrome Using Serum AMH, Menstrual Cycle Length, Body Mass Index and Serum Androstenedione in Chinese Reproductive Aged Population: A Retrospective Cohort Study
A model using hormone levels, cycle length, and BMI can help identify PCOS in Chinese women but isn't for screening teens.
research Clinically relevant skull models and optical measurement method to evaluate programmable hydrocephalus valve tool kit usability
Three skull models were found most useful for testing hydrocephalus valve programming.
research Author response: A multi-scale model for hair follicles reveals heterogeneous domains driving rapid spatiotemporal hair growth patterning
Understanding hair follicle interactions can help treat male pattern baldness.
research Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
research Autoimmune skin disease pathogenesis: a chronological immune cascade and multi-hit model
Autoimmune skin diseases result from genetic and environmental factors disrupting immune checkpoints.
research A comparative study of linear and nonlinear ANNs as classifiers of animal hair fibers
Nonlinear artificial neural networks are better at identifying different types of animal hair than linear ones.
research The mind-body problem; three equations and one solution represented by immaterial-material data
The mind and body don't directly interact; the mind acts as an interface linking abstract and physical data.
research Dodatek A: Model matematyczny AL/RC/ASE. Functional Androgen Axis (FOA) - wersja operacyjna v1.2
The model improves understanding of androgen interactions by focusing on signal intensity and system capacity.
research CNN-KNN Model for Assessing Hair Health in Telogen Effluvium
The model accurately predicts hair breakage in Telogen Effluvium, aiding early detection and treatment.
research A machine learning and network framework to discover new indications for small molecules
A machine learning model called CATNIP can predict new uses for existing drugs, like using antidepressants for Parkinson's disease and a thyroid cancer drug for diabetes.
research A Novel Nomogram for Predicting Gonadotropin-Releasing Hormone Analogue Treatment Outcome in Girls with Idiopathic Central Precocious Puberty
A new model helps predict treatment success in girls with early puberty.
research Dissection of genetic variation and evidence for pleiotropy in male pattern baldness
Male pattern baldness is mostly inherited, involves many genes, and is linked to other traits like early puberty and strong bones.
research Light scattering from human hair fibers
Researchers developed a new model for more realistic computer graphics of hair by considering how light scatters on hair fibers.
research The G1/S transition in mammalian stem cellsin vivois autonomously regulated by cell size
Cell size independently controls when stem cells divide.
research The Three-Dimensional Human Skin Reconstruct Model: a Tool to Study Normal Skin and Melanoma Progression
3D skin models better mimic human skin and melanoma progression than older methods.
research A Powerful Method for Pleiotropic Analysis under Composite Null Hypothesis Identifies Novel Shared Loci Between Type 2 Diabetes and Prostate Cancer
The new method found new shared genetic areas linked to both Type 2 Diabetes and Prostate Cancer.
research Inherited Disorders of the Hair
The study concluded that genetic mutations affect human hair diseases and identified key genes and pathways involved in hair growth and cycling.
research Combinatorial expression of cell cycle regulators is more suitable for immortalization than oncogenic methods in dermal papilla cells
Using a combination of specific cell cycle regulators is better for safely keeping hair root cells alive indefinitely compared to cancer-related methods.
research 080 Mouse models of alopecia areata: C3H/HeJ mice versus the humanized AA mouse model
The humanized AA mouse model is better for testing new alopecia areata treatments.
research 397 Predictive modeling of drug response and mechanism of action in alopecia areata clinical trials
Researchers found three different ways drugs work to treat hair loss from alopecia areata and identified key factors for personalized treatment.
research 606 Connecting signaling dynamics with cell fates in live mice
Stem cells control their future role by changing ERK signal timing, affecting tissue regeneration and cancer.
research Combination Therapies and the Theoretical Limits of Evidence-Based Medicine
The current system can't fully test all combination treatments, so alternative methods and regulatory flexibility are needed.
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 Candidate SNP markers of reproductive potential are predicted by a significant change in the affinity of TATA-binding protein for human gene promoters
Certain genetic markers linked to reproductive potential were identified by their impact on a protein's ability to bind to genes.
research An Explainable AI-Based Decision Support System for Teaching and Classifying Hair Loss Types
The AI system accurately classifies hair loss types and explains its decisions.
research QuantAnts machines discover biomarkers for RAS signaling activation and design sgRNAs for CRISPR to target complex CD9, CD34, and CD74.
The QuantAnts machines can find cancer markers and create CRISPR targets for them.
research Past, Present and Future Perspectives of Forensic Genetics
Forensic genetics can now predict physical traits and lifestyle habits, with future advancements expected from new technologies.