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MRI helps distinguish between pituitary adenomas and craniopharyngiomas, guides treatment for pediatric CNS tumors, and assesses rhinocerebral mucormycosis with a high mortality rate in transplanted patients.

A hybrid model using traditional methods, trichoscopy, and AI improves hair loss assessment.

Skin-derived stem cells grow faster and are easier to obtain than hair follicle stem cells, but both can become various cell types.

DALL-E 2 can create realistic hair images but struggles with specific hair disorders.

Epidermal neural crest stem cells from hair follicles can help repair nerve injuries.

Hair follicle stem cells might help treat traumatic brain injury.

Neural crest-derived progenitor cells in the cornea could help treat corneal issues without transplants.

Exosomes from stem cells help improve nerve repair in rats.

Bayesian networks are tools for modeling variables' probabilistic relationships, which can efficiently represent complex probabilities and help in making inferences.

The VGG-SVM method accurately identifies and classifies stages of Alopecia Areata and other hair loss conditions.

The laser system helps study brain cell functions by precisely removing specific cells and observing changes.

The tumor likely shows dual neural crest differentiation.

A machine-learning test using hair can help detect autism early in infants.

Clinicians can use vibe coding to easily engage in machine learning research without needing to know Python.

Using certain small proteins with a growth factor and specific materials can increase the creation of neurons from stem cells.

Understanding cellular interactions in VCA may lead to better treatments and reduce rejection.

Co5M offers a new way to observe and understand wound healing without labels.

Stem cells can move to brain injury sites and be tracked, showing promise for treating brain diseases.

AI can help diagnose Follicular Lymphoma by accurately identifying specific cell types.

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

Neurons and synapses are key to brain function and learning.

Confocal microscopy is useful for studying how nanoparticles interact with skin.

The hairline can reliably guide neurosurgical planning.

Complete removal of large scalp nevi is recommended to prevent complications.

Machine learning can accurately predict mental disorders.

A combined surgical approach by different specialists can effectively treat large birthmarks on the scalp.

Stem cells in hair follicles can become neurons and other cells, especially in the upper part, useful for nerve repair.

AI improves medical care by enhancing diagnosis and treatment for better patient outcomes.

Human hair follicle cells can be turned into neural stem cell-like cells, which might help treat brain diseases.

Hair follicle stem cells need all reprogramming factors to become pluripotent.