May 2022 in “Hormones and behavior” This study found that hair cortisol levels in black-tailed prairie dogs, influenced by factors like predation risk and lactation, were associated with reproductive success, supporting the Cort-Adaptation hypothesis.
79 citations
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July 2022 in “Sensors” In this study, researchers evaluated various machine learning models for predicting type 2 diabetes risk, finding that Random Forest and K-NN models performed best in terms of precision, recall, accuracy, and other metrics using common symptoms as features.
February 2026 in “SHILAP Revista de lepidopterología” This study found that a family history of androgenetic alopecia and specific trichoscopic features are key factors in predicting female pattern hair loss, and the developed nomogram model may help improve disease management by assessing these risks.
February 2026 in “Clinical Cosmetic and Investigational Dermatology” This study found that a family history of androgenetic alopecia and specific trichoscopic signs are strong predictors of female pattern hair loss, leading to a nomogram model for risk prediction.
57 citations
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September 2016 in “Arthritis Care & Research” This study found that people with systemic lupus erythematosus consulted primary care more frequently and with specific clinical features before diagnosis, and it developed a risk prediction model that may help in identifying at-risk individuals.