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This study proposes a new method for hair segmentation that improved performance in skin lesion images, as indicated by an increase in the Dice score from 76.97% to 79.08%.

This study utilized U-Net's image-processing capabilities to achieve 92% accuracy in segmenting individual hair strands, enhancing early detection and reliable identification of hair fall areas, which assists in addressing challenges of subtle hair thinning that are difficult to see otherwise.

In this study, the proposed MSF-VMDNet, combining dual encoder networks with a multi-frequency domain mechanism, significantly outperformed existing methods in segmenting skin cancer tissues from histological slide images, achieving high accuracy with an MIoU of 95.37% and a Dice coefficient of 95.11%.

This study introduced a deep learning framework combining multiple convolutional neural networks to detect scalp and hair disorders and classify hair fall stages, reporting higher precision and robustness in detection and classification compared to individual CNN models.

This study developed an automated image analysis framework for diagnosing hair disorders using trichoscopic images, reporting a Random Forest classifier as having an 86.67% accuracy in distinguishing between different scalp pathologies based on quantitative image features.

This study introduced a novel, weakly supervised method for segmenting hair in Scanning Electron Microscope images using simple image-level annotations, achieving over 30% improvement in mean Hausdorff Distance compared to Unet and SAM, while enhancing interpretability and refinement.

This review from the 2013 Keogh Review found that non-surgical cosmetic interventions in the UK are largely unregulated, leaving patients with little protection or recourse.

This chapter discusses Bayesian networks, their properties, and how they enable probabilistic inference with continuous variables, but it reports no new findings.

In this study, a hydro-alcoholic extract of Urtica dioica demonstrated in vitro antioxidant activity, potentially linked to its ferulic acid content.

This editorial in the Journal of Aesthetic Nursing discusses the rise in unethical practices in the medical aesthetics field, particularly by non-health professionals offering high-level cosmetic procedures, and calls for experienced practitioners to voice their concerns in person to influence regulatory practices.

This abstract provides information about the JAMA network's publications, services, and access options but contains no research findings.

This review highlights the significant historical role of John H. Woodbury in pioneering cosmetic surgeries in the U.S. between 1870 and 1909, though it reports no new clinical findings.

A deep learning model was developed to help diagnose trichothiodystrophy by analyzing hair patterns.

This dissertation reports three findings: vertical mergers can facilitate downstream collusion, advertising for new products may follow an inverted U shape, and incumbents might obscure the quality signals of uncertain new market entrants.

This review discusses the ethical and legal challenges faced by practitioners who conscientiously object to participating in euthanasia and assisted suicide, reporting no new clinical results.

This article provides a multiple-choice quiz based on dermatology information but shares no new research findings.

In this study, a novel GAN-based image translation method focusing on regions of interest showed improved predictive performance for post-hair transplant images compared to existing methods, using an ensemble approach to enhance robustness and detection accuracy.

This study quantified relationships among various occupations in Japan, enabling comparisons with vocational aptitude test results using new numerical criteria developed from analysis of over three million survey panels.

This article discusses the ethical views of Polish physicians on performance-enhancing substances and emphasizes the need to improve their knowledge to better address related issues in their patients, but it reports no new results.

This article discusses the widespread issue of performance-enhancing drug use in sports, its health risks, and the importance of drug testing; it reports no new study findings.

This submission critiques policies on "effective referral" for euthanasia and assisted suicide, highlighting potential threats to physicians' civil liberties and suggesting revisions to uphold freedom of conscience in medical practice.

This document discusses the British Association of Dermatologists' current perspective on isotretinoin, focusing on its known side effects, prescribing requirements, teratogenic risks, and the contentious link to mood changes, reporting no new research findings.

The authors of this study developed a novel CNN architecture aimed at improving detection of Alopecia Areata through image-based datasets, achieving a top accuracy of 98% compared to four other machine learning models.

This review explores the phytochemistry and phytopharmacology of Urtica dioica but reports no new experimental findings, focusing on its traditional uses and range of bioactive constituents.

This study found that DrugNet, a network-based prioritization method, effectively improves drug repositioning tasks, achieving high performance in validation tests and clinical trial comparisons.

This study found that the mechanical stiffening of the human hair follicle along the first millimeter is linked to changes in the keratin network architecture and composition during keratinization.

This review discusses the data resources and computational models used in drug repositioning, highlighting their role in discovering unknown drug mechanisms and reports no new empirical results.

This study identified aging-related epigenetic and transcriptomic biomarkers and suggested that curcumin might target and inhibit the JUN gene, implicating potential therapeutic strategies against aging.

This source reports that a network meta-analysis found oral baricitinib and ruxolitinib to be effective and safe for treating alopecia areata, significantly improving response rates over placebos and showing fewer adverse effects than steroid treatments, though precise dosing needs further study.

This study analyzed gene expression data to identify key genes involved in severe forms of alopecia areata, discovering four immune monitoring genes (LGR5, SHISA2, HOXC13, S100A3) with potential for early diagnosis and better understanding of the disease's biological mechanisms.