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Case-only trees and random forests improve predictions of treatment effects in clinical trials.

New app improves storm surge predictions; advances in baldness treatment show potential but require time.

Understanding chaos and control mechanisms in disease can improve diagnosis and prediction in medicine.

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

The research found that genetic factors for male pattern baldness in African men differ significantly from those in Europeans.

The model accurately predicts age from saliva and buccal cells for forensic use.

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 markers can predict physical traits for forensic use, but there are ethical and technical challenges.

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.

New DNA analysis and machine learning are advancing forensic science, improving accuracy and expanding into non-human applications.

Gene expression in hair follicles can help diagnose methamphetamine use disorder.

Melanocyte-associated antigens may play a key role in alopecia areata and could be targets for new treatments.

Dermoscopy improves accuracy in predicting treatment success for androgenetic alopecia with the Regenera® protocol.

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.

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

DNA profiling in forensics has improved, but predicting physical traits and ancestry from DNA has limitations and requires ethical consideration.

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.

New genetic locations explain much of hair color variation in Europeans.

The study found that diseases can be grouped by symptoms and that the accuracy of predicting disease-related genes varies with the data source.

Karl E. Weick suggested focusing on everyday events and smaller groups to improve organizational theory and urged the inclusion of nonobvious aspects for better explanations.

The document concludes that computational methods using networks and various data can improve the process of finding new uses for existing drugs.

The hair follicle pathway significantly affects how easily water-loving chemicals pass through the skin.

Colchicine causes rapid hair loss by damaging hair follicles.

The model better predicts how water-loving and fat-loving substances move through the skin by including tiny pores and hair follicle paths.

Different oil products cause varying levels of skin irritation in mice, which could potentially lead to tumors.

A new model can predict drug-disease links well, helping drug research.

Certain blood miRNAs are linked to severe alopecia areata and could lead to new treatments.

Daily low-dose aspirin lowers minoxidil's effectiveness for hair loss treatment.

DNA phenotyping helps predict physical traits from DNA with varying accuracy and requires careful ethical and legal handling.

Minoxidil detects nitrite in water, creating a simple, cheap test.