research Comparison of mathematical indices of insulin resistance for clinical application in the four phenotypes of polycystic ovarian syndrome
Insulin resistance varies among PCOS types, and simple math tools can help identify it early.
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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 The population dynamics of cancer: a Darwinian perspective
Cancer development is like natural selection, involving mutated cells and environmental factors.
research A computational modelling framework to quantify the effects of passaging cell lines
Cell characteristics change with passage numbers, affecting experiment results.
research Hair and Scalp Disease Detection using Machine Learning and Image Processing
The machine learning model accurately detected hair loss and scalp diseases using processed images.
research Hair & Scalp Disease Detection Using Machine Learning & Image Processing
AI can accurately diagnose hair and scalp conditions and suggest treatments.
research Chaos and antichaos in pathology
Understanding chaos and control mechanisms in disease can improve diagnosis and prediction in medicine.
research Regenerative medicine meets mathematical modelling: developing symbiotic relationships
Mathematical modeling can improve regenerative medicine by predicting biological processes and optimizing therapy development.
research Enhanced stratification of male pattern hair loss using AI through novel loss region ratio analysis
AI improves accuracy and consistency in diagnosing male pattern hair loss.
research Materialism, Transformation Expectations, and Spending: Implications for Credit Use
People who are more materialistic often expect life changes from buying things, leading to more debt and credit misuse.
research Turing patterns in development: what about the horse part?
Turing patterns are now recognized as important in developmental biology.
research Analysis of the human diseasome using phenotype similarity between common, genetic and infectious diseases
The study found that diseases can be grouped by symptoms and that the accuracy of predicting disease-related genes varies with the data source.
research Low-frequency dual-frequency ultrasound-mediated microbubble cavitation for transdermal minoxidil delivery and hair growth enhancement
Using dual-frequency ultrasound with microbubbles can potentially improve the delivery of hair growth treatment through the skin and enhance hair growth.
research Capturing Stem Cell Behavior Using Intravital and Live Cell Microscopy
Stem cells are more dynamic and adaptable than previously believed.
research How good is artificial intelligence (AI) at solving hairy problems? A review of AI applications in hair restoration and hair disorders
AI is effective in diagnosing and treating hair disorders, including detecting hair loss and scalp conditions with high accuracy, but it should supplement, not replace, doctor-patient interactions.
research Viewpoint 4
Skin patterns form through molecular signals and genetic factors, affecting healing and dermatology.
research Mapping cell dynamics in human ex vivo hair follicles suggests pulling mechanism of hair growth
Hair growth may involve a pulling force from the outer root sheath.
research Classification Framework for Healthy Hairs and Alopecia Areata: A Machine Learning (ML) Approach
Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.
research A weighted non-negative matrix factorization approach to predict potential associations between drug and disease
WNMFDDA effectively predicts drug-disease associations.
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 Detecting shortcut learning for fair medical AI using shortcut testing
The ShorT method can detect and help reduce bias in medical AI by identifying shortcut learning.
research Identification of Potential Biomarkers for Diagnosis of Patients with Methamphetamine Use Disorder
Gene expression in hair follicles can help diagnose methamphetamine use disorder.
research KRDQN: An Interpretable Prediction Framework for Adverse Drug Reactions via Knowledge–Graph Reinforced Deep Q-Learning
KRDQN effectively predicts adverse drug reactions with high accuracy and clear explanations.
research Estimating Scalp Moisture in a Hat Using Wearable Sensors
A hat with sensors can measure scalp moisture well, helping with hair care.
research HairLossMultinet: A Multi Scale Feature Fusion Method Using Deep Learning Approach
HairLossMultinet accurately classifies hair damage with 98% accuracy but needs a more diverse dataset for broader use.
research Trichotillomania: Neurobiology and treatment
Trichotillomania involves hair pulling and can be treated with therapy and medication.
research Identification of dkk4 as a target of Eda-A1/Edar pathway reveals an unexpected role of ectodysplasin as inhibitor of Wnt signalling in ectodermal placodes
Ectodysplasin inhibits Wnt signaling to help form hair follicles.
research A Quantitative Measurement Method for Nuclear-Pleomorphism Scoring in Breast Cancer
A new method accurately measures cell changes in breast cancer.
research Novel potential therapeutic targets of alopecia areata
New treatments for hair loss from alopecia areata may include targeting immune cells, using stem cells, balancing gut bacteria, applying fatty acids, and using JAK inhibitors.
research Performance of Platycladus orientalis Leaves Yeast Fermented Solution on Human Dermal Papilla Cells
The fermented solution from Platycladus orientalis leaves may boost hair growth and reduce inflammation.