Search

everythinglearnresearchcommunity

for

Search:↓

Belly fat is the main predictor of nonalcoholic fatty liver disease in both women with Polycystic ovary syndrome and healthy women.

Larger ovaries in women with PCOS may indicate higher insulin resistance.

A machine learning model can predict alopecia areata early using specific gene markers.

CP-690,550 significantly reduced itching in patients with moderate-to-severe plaque psoriasis.

The document concludes that PK/PD modeling is important for determining the safe and effective dosages of drugs.

Mathematical modeling can improve regenerative medicine by predicting biological processes and optimizing therapy development.

Blood type affects COVID-19 infection rates differently in Europe and Africa.

Long-COVID has diverse, long-term health impacts, especially in young people.

Long-COVID causes more health issues after COVID-19, varying by age, sex, and infection wave.

IGF2BP3 gene is up-regulated in keloid patients, suggesting potential targets for treatment.

Hair follicle stem cells may help treat strokes.

Forensic DNA phenotyping faces challenges due to inconsistent terminology, limited genetic understanding, and debates over technology and models.

Larger ovarian size is linked to higher insulin resistance in women with PCOS.

Many young Egyptian women with PCOS also have fatty liver disease, especially if they are overweight and insulin resistant.

Immune cells are essential for early hair and skin development and healing.

The new method improves skin cancer detection in imbalanced datasets.

Different cell types work together to repair skin, and targeting them may improve healing and reduce scarring.

Hair cortisol and cortisone levels may affect how work stress influences depression in Chinese fishermen.

Keratinocytes and adipose-derived stem cells can effectively heal difficult skin wounds.

DNA variants can predict male pattern baldness, with higher risk scores increasing baldness likelihood.

Researchers found two new genetic variants linked to Alzheimer's disease.

The symposium concluded that environmental factors significantly contribute to skin aging.

Machine learning can predict symptoms and quality of life in chronic skin disease patients using smartphone app data, and shows that app use varies with patient characteristics.

Most patients with frontal fibrosing alopecia are postmenopausal women, and treatments like finasteride and dutasteride can improve or stabilize the condition.

Darkened knuckles can be an early sign of insulin resistance.

A new model helps predict treatment success in girls with early puberty.

The random forest model effectively helps diagnose COVID-19 using key factors like age and symptoms.

The model and estimator can predict drug exposure in kidney transplant patients well.

A model using hormone levels, cycle length, and BMI can help identify PCOS in Chinese women but isn't for screening teens.

The model predicts minoxidil's effectiveness and side effects better than traditional methods.