research Collider bias undermines our understanding of COVID-19 disease risk and severity
Collider bias can distort our understanding of COVID-19 risk and severity.
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research Techniques for the discovery and evaluation of drugs against alopecia
We need better treatments for hair loss, and while test-tube methods are helpful, they can't fully replace animal tests for evaluating new hair growth treatments.
research Some progress in global existence of solutions to a higher-dimensional chemotaxis system modelling Alopecia Areata
The system can have a stable solution under certain conditions, helping understand hair loss in Alopecia Areata.
research Amplitude-guided deep reinforcement learning for semi-supervised layer segmentation
The new method improves accuracy in segmenting scalp tissue layers.
research Prioritizing Susceptibility Genes for the Prognosis of Male-pattern Baldness with Transcriptome-wide Association Study
The research identified genes linked to male-pattern baldness and potential drug targets for treatment.
research Integrating Biomarkers from Correlation Analysis and Metric Learning for Hair Loss Classification
Combining biomarker analysis and advanced algorithms improves hair loss detection accuracy.
research Exact, time-independent estimation of clone size distributions in normal and mutated cells
A new method accurately estimates clone sizes in cells without considering time.
research Boundary Conditions Cause Different Generic Bifurcation Structures in Turing Systems
Boundary conditions change how patterns form in Turing systems.
research The Mathematics of Hair Restoration Surgery
Math skills are crucial for planning and executing successful hair restoration surgeries.
research Epigenetic age estimation in saliva and in buccal cells
The model accurately predicts age from saliva and buccal cells for forensic use.
research Étude PCPT : les biais attendus et leur gestion
Systematic end-of-trial biopsies are the most reliable way to assess outcomes.
research Animal models for male pattern (androgenetic) alopecia.
The stump-tailed macaque is a good model for studying human hair loss, but it's expensive and hard to find, while rodent models are promising for understanding hair growth and finding new treatments.
research ADVANCES IN FUNCTIONAL NEUROSURGERY – MACHINE LEARNING, NEURAL ENGINEERING AND ROBOTICS IN TREATMENT OF NEURODEGENERATIVE DISORDERS
AI and robotics are improving treatment and monitoring of neurodegenerative disorders like Parkinson's.
research En pacientes jóvenes, el uso de finasteride podría asociarse con mayor riesgo de ansiedad, depresión y eventos adversos relacionados con el suicidio
Young patients using finasteride may have higher risks of anxiety, depression, and suicidal thoughts.
research Enhancing the diagnostic yield of monogenic diabetes in unresolved cases with early-onset hyperglycemia
Combining genetic and physical data improves diagnosis and treatment for early-onset monogenic diabetes.
research Analyses prospectives de mortalité : approches actuarielle et biomédicale
Biomedical innovations could extend human lifespan, but may impact pension systems.
research A Critical Evaluation of Evaluations for Long-form Question Answering
Current methods can't accurately predict which long-form answers people prefer; evaluations should consider different answer qualities separately.
research The palette of techniques for cell cycle analysis
New techniques improve understanding of cell cycle dynamics at the single-cell level.
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 A Data-Driven Approach to Polycystic Ovary Syndrome Diagnosis: Evaluating Machine Learning Models
Machine learning can improve early and accurate detection of PCOS.
research Solid-Phase Microextraction and Related Techniques in Bioanalysis
research Valency based novel quantitative structure property relationship (QSPR) approach for predicting physical properties of polycyclic chemical compounds
The neighborhood face index (NFI) accurately predicts properties of complex molecules.
research Deep Learning-based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia
A deep learning model accurately predicts male hair loss types using scalp images.
research Reliability of the pattern hair loss classifications: A comparison of the basic and specific and N orwood–H amilton classifications
The BASP classification is more reliable than the Norwood-Hamilton for classifying hair loss in men and women.
research RETRACTED: Is photoshop with Qualitative Image Analysis a valid technique for measuring hair morphology? A test using wires of known dimensions
QIA-64 software can measure straight wire lengths accurately but needs improvement for curved wires and width measurements.
research Photoacoustic imaging for prostate brachytherapy
Photoacoustic imaging can detect prostate brachytherapy seeds better with enhanced contrast methods, but depth limits remain.
research Methods of Transfer Learning for Multiclass Hair Disease Categorization
Transfer learning with three neural network architectures accurately classifies hair diseases.
research DNA phenotyping: current application in forensic science
DNA phenotyping helps predict physical traits from DNA with varying accuracy and requires careful ethical and legal handling.
research Automated Monkeypox Identification from Electronic Medical Records Using Large Language Models — Shenzhen City, Guangdong Province, China, 2023–2025
Large language models can accurately identify monkeypox from medical records.
research HERBSNAP: Advanced Classification of Bhringaraja and Honegone Herbal Species
Machine learning can accurately tell apart False Daisy and Smooth Joy Weed.