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This study found that higher levels of cortisol (F) and cortisone (E) in hair before stroke onset were significantly associated with post-stroke depression and anxiety, suggesting they could serve as potential predictors for these mood disorders.

This study introduces an extended approach to the Bonferroni procedure that accounts for correlations among endpoints, aiming to improve test power while maintaining strong control of the family-wise type I error rate in clinical trials.

This study highlights challenges in evaluating long-form question answering, suggesting that current automated metrics do not align with human judgments, and it advocates for a multi-faceted evaluation approach.

This study found that men aged 18-40 with moderate to severe psychosocial impairment from male androgenetic alopecia had a higher risk of sexual dysfunction.

This study observed that drug-naïve first-episode psychosis patients had higher hair cortisol concentrations than healthy controls, and these concentrations correlated with the severity of psychopathology.

This study in Saudi Arabia found that psychological stress was strongly linked to skin symptoms, with conditions like psoriasis, eczema, acne, rash, and baldness showing significant associations, highlighting the importance of considering stress levels when diagnosing skin issues.

This paper reviews various techniques for measuring the physical and mechanical properties of human hair fibers, emphasizing their importance in developing effective cosmetic products.

This abstract provides a list of books covering various psychological and social topics but reports no specific study findings.

This study found that 66% of apparently healthy volunteers had some abnormality on biochemical, hematological, or electrocardiographic testing, highlighting the need for pretreatment evaluations in clinical trials.

This study aims to use a comprehensive health data set to develop a statistical model that can improve personalized and preventive health care by understanding relationships between various health parameters in individuals.

This study explored a multidimensional approach to examine body hairs' physico-chemical properties, potentially supporting their use over scalp hairs in forensic and intoxication studies.

This study found that hair cortisol levels increase and testosterone levels decrease with obesity, suggesting that measuring hormones in hair may be a valuable tool in obesity research and clinical practice.

This review discusses past research on the chemical and physical properties of human hair, focusing on structural analysis and mechanical property measurements with methods like SEM and tension tests, but adds no new findings.

This study found that current automatic text generation metrics do not predict human preference judgments for long-form question answering, and suggests adopting a multi-faceted evaluation approach focusing on aspects like factuality and completeness.

According to this study, forensic DNA phenotyping using Next Generation Sequencing can reliably predict certain visible traits like eye, hair, and skin color, though its routine implementation in forensics is hindered by incomplete genetic knowledge and ethical concerns in some countries.

In this study, researchers are constructing a comprehensive data set from 997 adult participants in Japan to develop a statistical model that explores the relationships among various health parameters, aiming to enable personalized and preventive health care interventions based on empirical data.

This study found that integrating the Theory of Planned Behaviour with the Stimulus-Organism-Response framework improved the prediction of intentions to buy embarrassing products, with subjective norms being significant across drugstore, internet, and multi-channel environments.

This study found that electrophoretic keratin typing of head hair can identify specific polypeptide patterns, suggesting potential applications in genetic and forensic investigations.

This study found that patients with chronic migraine who excessively use symptomatic medications had a higher prevalence of anxiety and mood disorders, suggesting these psychiatric diagnoses may influence medication overuse.

This study found that generalized anxiety disorder symptoms predicted higher emotional distress and hair cortisol concentration, with dominance unexpectedly increasing the impact of anxiety on hair cortisol.

This study developed a new STR typing strategy for forensic casework, enabling the simultaneous analysis of 11 polymorphic systems, particularly useful for limited or degraded DNA samples such as telogen hair roots.

In this study, researchers found a significant association between Alopecia Areata and depressive symptoms, with those diagnosed showing higher depression scores and differing responses in psychological assessments compared to controls.

This Delphi survey study identified six key domains that should be measured in all future psoriasis clinical trials to ensure comprehensive assessment, including skin manifestations and treatment satisfaction.

This study demonstrated that the Alopecia Areata Assessment Tool (ALTO) effectively identifies alopecia areata cases with high sensitivity and specificity in a dermatology clinic setting.

This study describes the development of a prototype clinical expert system that uses a belief rule-based inference methodology to improve the risk stratification and diagnosis of polycystic ovary syndrome by addressing uncertainties in clinical data and domain knowledge.

This review discusses the current state of research on genetic markers for predicting human phenotypic traits from DNA samples for forensic purposes and reports no new experimental findings.

This article reviews milestones in understanding psychosomatic factors in dermatology and outlines clinical criteria for identifying them, but it presents no new research data.

This study found that rational thinking style was the strongest predictor of interpersonal conflict resolution among young adults, with gender also being a significant factor.

This study introduced a multitask learning method to identify shortcut learning in clinical ML systems, revealing it's not always responsible for unfairness and emphasizing the necessity of comprehensive fairness approaches in medical AI.

This study found that integrating machine learning enhances the predictive accuracy of forensic DNA phenotyping from low template DNA, achieving high accuracy for traits like eye color, although challenges remain for admixed populations and complex traits.