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The two-factor model fits better for Chinese patients' understanding of illness causes than the original four-factor model.

Targeting neurosteroids may help prevent drug relapse.

Collider bias can distort our understanding of COVID-19 risk and severity.

Neurospectrum effectively analyzes neural signals to predict and identify brain activity patterns better than traditional methods.

Neurosteroids help reduce seizures, but their withdrawal increases seizure activity.

Microbeam Radiation Therapy is effective, but using a linear accelerator reduces its benefits.

Stress can cause hair to turn gray by depleting stem cells.

Recent selection on immune response genes was identified across seven ethnicities.

Animal models, especially mice, are essential for advancing hair loss research and treatment.

Understanding hair follicle communication can help treat hair loss.

Animal models have helped understand hair loss from alopecia areata and find new treatments.

WNMFDDA effectively predicts drug-disease associations.

Large language models struggle with accurate clinical decision-making compared to real-world needs.

Hair growth cycles need varied signals in space and time.

Neurosteroid withdrawal increases seizure frequency in a rat model of catamenial epilepsy.

The EMG-to-force model accurately predicts hip muscle forces during walking.

Moles may stop growing due to cell cooperation, not just because of individual cell aging.

Light scatters differently from elliptical hair fibers than from circular ones, and a new model better predicts this behavior, especially for shiny highlights.

Machine learning can improve early and accurate detection of PCOS.

Machine learning can accurately predict PCOS phenotypes using lifestyle and symptom data.

Researchers developed a new model for more realistic computer graphics of hair by considering how light scatters on hair fibers.

Sex and stress steroids quickly change brain cell structures in the hippocampus.

The conclusion is that the risk of losing significance in meta-analysis results increases with smaller effects and more missing data, and using the median standard deviation for imputation is recommended.

Researchers created a new mouse model, G4, that mimics human PCOS symptoms and links the condition to a specific gene.

Certain substances can decrease or increase exploratory behavior in rodents.

Genetic data can predict male-pattern baldness with moderate accuracy, especially for early-onset cases in some European men.

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.

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.