Search

everythinglearnresearchcommunity

for

Search:↓

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

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

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

The Oat mouse model shows mild retinal degeneration, useful for testing treatments.

Curly and straight hair differ in how their internal fibers are arranged.

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

Scientists created a 3D skin model that shows typical signs of aging, which can help in aging research.

The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.

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

Trichoscopy can detect early signs of steroid overuse on the scalp, suggesting a need for non-steroidal treatments.

A machine learning model can predict scarring in lichen planopilaris using factors like vitamin D levels and diagnostic delay.

Hair root sheaths are more common in non-scarring hair loss and help diagnose the type of hair loss.

The ideal haircut routine can be determined using a model based on hair growth and regular haircuts.

The Theory of Planned Behaviour predicts consumer behavior better when emotions, personality, demographics, and marketing are included.

The method improves hair image segmentation accuracy while reducing annotation costs.

Strabismus research has advanced with AI diagnostics, minimally invasive surgeries, and non-surgical treatments, led by the USA, China, and the UK.

The document concludes that the new model realistically simulates male baldness and could be useful for medical purposes and entertainment.

Pattern mode isolation improves the reliability and predictability of Turing patterns.

Different levels of shear stress affect where cells move and gather in a 3D-printed model, helping to better understand cell behavior in blood vessels.

Hair growth pathways are a promising and simpler method for detecting chronic stress.

The mind and body don't directly interact; the mind acts as an interface linking abstract and physical data.

The new method provides more accurate vibrational frequencies for drug molecules than traditional models.

The model helps understand scar contraction and develop new treatments.

Type II spiral ganglion neurites avoid high concentrations of laminin and fibronectin.

The model predicts hair breakage based on key hair properties and helps product developers.

Countries with stricter cultures had fewer COVID-19 cases and deaths, paranoia is linked to false memories, psychosocial intervention works as well with or without antipsychotic drugs for young people with psychosis, smartphones can detect changes in behavior indicating illness relapse, and recruitment agents show regional and gender biases.

The Advanced Precipitation U-Net Model improves early hair fall detection with 92% accuracy.

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

A new method uses expert reviews of home videos to objectively assess children's developmental milestones in single-arm trials.

Social rejection can harm long-term mental health in transgender individuals.