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Prairie dogs with fewer neighbors are more stressed but their number of babies isn't affected.

Machine learning can effectively predict type 2 diabetes risk.

Female Pattern Hair Loss is linked to genetics, diet, stress, and certain health conditions.

Female pattern hair loss is linked to genetics, family history, and lifestyle factors.

Merkel cell carcinoma is most likely to recur within two years of diagnosis, and factors like immune suppression, being over 75, and male sex increase this risk.

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

Early baldness and little chest hair may indicate higher prostate cancer risk.

Genetic factors can predict male pattern baldness risk.

Genetic factors can help predict male pattern baldness risk.

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

BDNF, TSH, fT4, anti-TPO, and 25-OH Vitamin D levels predict depression risk in patients with autoimmune thyroiditis and hypothyroidism.

Genetic data can predict male-pattern baldness with moderate accuracy, especially for early-onset cases in some European men.

Risk analysis is important for safely adjusting pharmaceutical formulas while maintaining their quality and effectiveness.

Certain genetic variants increase the risk of aggressive prostate cancer.

A gene-based model predicts lung adenocarcinoma outcomes and helps guide treatment decisions.

Rare genetic variants in five specific genes are linked to male-pattern hair loss but only account for a small part of the risk.

Melanoma risk tools need improvement, a gene mutation causes a hair disorder that might be treated by managing cell stress, a potential therapy for a skin-ear disorder involves blocking cell channels, skin wrinkling may indicate lung aging regardless of smoking, and oxidative stress might contribute to common baldness.

Melanoma risk tools need improvement, certain gene mutations cause skin diseases and could be treated by targeting those mutations, skin wrinkling may relate to lung aging due to genetic factors, and oxidative stress affects hair loss but can be reduced in low oxygen.

The Rotterdam Study found risk factors for elderly diseases, links between lifestyle and genetics with health conditions, and aimed to explore new areas like DNA methylation and sensory input effects on brain function.

Reproductive factors can increase hypertension risk and affect cardiovascular health.

Finasteride improves prostate cancer prediction by adjusting kallikrein marker levels.

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

Naive Bayes algorithm can help predict hair loss risk early.

Eating fish is healthy but can be risky due to toxins like mercury.

Some COVID-19 patients have skin issues, with men, ICU patients, and those on multiple antibiotics at higher death risk; in-person skin checks by dermatologists are more effective.

Finasteride lowers PSA levels in men, certain factors increase testicular cancer risk, and current guidelines for penile cancer may lead to unnecessary surgeries.

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

AI can greatly improve plastic surgery, but ethical care and human aspects must remain a priority.

Rare genetic variants in 125 genes are linked to male-pattern hair loss.

Many women with PCOS have abnormal cholesterol levels, needing careful management.