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The wavy coat in NCT mice is caused by multiple genes, including a mutation in the Prss53 gene.

Tadalafil and Finasteride may help treat aggressive melanoma.

The modified Ferriman-Gallwey method is a useful tool for diagnosing hirsutism.

The study aims to create a model to improve personalized and preventive health care.

Machine learning can improve early and accurate detection of PCOS.

Passage numbers affect cell growth and experiment results.

The conclusion is that small hair follicles cause baldness in macaques, and treatments like antiandrogens and minoxidil can prevent hair loss and promote regrowth.

The model accurately predicts hair loss by analyzing various factors.

Large language models often give biased or inaccurate medical responses, especially for LGBTQIA+ prompts.

Better models and evaluation methods for alopecia areata are needed.

Problem-based learning in a biology class improved students' thinking and problem-solving skills.

Choosing the right model order in brain connectivity analysis can affect the detection of differences between healthy individuals and those with seasonal affective disorder.

Medical practitioners need to understand basic statistics to properly evaluate clinical trials and avoid unethical designs.

Adding obesity data to machine learning models improves heart disease prediction accuracy.

Current murine models need improvement for better human wound healing research translation.

AI can effectively predict COVID-19 mortality risk using patient data.

Finasteride, a drug that changes testosterone to a different hormone, was studied and its effects over time were modeled successfully.

The Spiral Model helps understand hair growth changes with age and identify hair problems early.

Multiple treatment comparison meta-analyses help doctors make better decisions by comparing different interventions.

Actin filaments help stabilize and integrate cell membranes during transfer.

Machine learning can predict stress-related hair loss and suggest prevention tips.

Microtechnology methods improve organoid production for medical research.

A deep learning model accurately predicts male hair loss types using scalp images.

A new model accurately predicts water intake in hair sheep using dry matter intake.