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Sensory neuron and Merkel-cell changes in the skin happen independently during normal skin maintenance.

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

A new method accurately estimates clone sizes in cells without considering time.

Organoids can revolutionize medicine by modeling diseases and aiding in personalized treatments.

The treatment improved facial structure and corrected bite issues in patients.

A new method accurately captures and renders hair color for real and synthetic images.

Hair follicle patterns form through a mix of self-organization and signaling interactions.

Simulations of hair keratin help improve disease treatment and cosmetic products.

Using a perfusion system and 3D spheroid culture improves the growth of corneal cell layers for tissue engineering.

Herman Bierens had a successful career in econometrics, contributed to education, and plans to continue research after retirement.

Mandarin duck sail feathers change with seasons due to hormones and genetic regulation.

A new model uses specific blood markers to predict if children's hair loss will return.

Basement membrane changes are crucial for hair follicle development.

Scientists are using clumps of special stem cells to improve organ repair.

Scientists created a lab-grown hair follicle model that behaves like real hair and could improve hair loss treatment research.

Feather patterns in birds are shaped by signaling interactions and cell movements, with EDA/EDAR crucial for pattern formation.

Moles may stop growing because of cell cooperation, not just because of aging cells.

Pre-trained Transformers need extreme retraining to perform well on DarkNet data.

The flap assay grows the most natural hair but takes the longest, the chamber assay is hard work but gives dense, normal hair, and the patch assay is quick but creates poorly oriented hair with some issues.

Machine learning can use blood tests to help predict moderate-to-severe alopecia areata.

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

Self-supervised learning improves medical image classification accuracy.

Hair stem cell regeneration is controlled by signals that can explain different hair growth patterns and baldness.

Endoglin is crucial for proper hair growth cycles and stem cell activation in mice.

Adjusting AI training data for skin condition distribution improves accuracy across different clinical settings.

A detailed 3D model of human skin was created to help develop artificial skin.