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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.

Predictive computational analyses have evolved biopower by using technology to track and predict individual and group behaviors.

Genetic predictions of baldness in Europeans don't apply well to African men.

MEGA PROTAC improves prediction and ranking of protein complexes better than existing methods.

Model improves accuracy in predicting hair loss effects.

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

Finasteride improves prostate cancer prediction by adjusting kallikrein marker levels.

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

BMI is not a significant predictor of complications after gender-affirming penile inversion vaginoplasty.

The data set helps improve predictions of how substances are absorbed through pig skin.

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

Blood count parameters are not reliable for predicting recurrent implantation failure.

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

FAI is a better marker for predicting female hair loss than testosterone or SHBG alone.

Forensic DNA phenotyping is becoming useful for predicting physical traits in criminal investigations but is limited by ethical concerns and incomplete genetic understanding.

Alopecia is not a significant predictor of thyroid disease when age and sex are considered.

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

Organoid technology is improving personalized medicine by better predicting drug responses and treatments.

Integrating biological networks improves drug repurposing and ADR prediction.

UC.145 may be a new biomarker for predicting gastric cancer.

A standardized scoring system is needed to improve model reliability for predicting hair loss in brain tumor patients treated with proton therapy.

Elastic Net DNA methylation clocks are inaccurate for predicting age and health status; a "noise barometer" may better indicate aging and disease.

Genetic profiling can improve androgenetic alopecia treatment by predicting drug response and minimizing side effects.

High insulin levels are more common and a better predictor of carbohydrate issues in women with PCOS than glucose tolerance tests.

CEC levels may be a useful marker for predicting prostate cancer progression.

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

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

The questionnaire is valid and reliable but needs more testing for future predictions.

The conclusion is that measuring how drugs partition into artificial sebum is important for predicting their delivery into hair and sebaceous follicles, and it provides better information than traditional methods.

Genetic and lifestyle factors influence skin and hair aging, and prediction models can help assess aging and cosmetic treatments.