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This study found that multiphoton microscopy imaging allows for detailed observation and quantitative analysis of collagen alterations in the progression of endometrial cancer, potentially offering a faster, more accurate method for early diagnosis compared to current protocols.

This study developed a novel multi-scale image descriptor using dictionaries for classifying histological images, achieving average recall and precision measures of 0.81 and 0.86 in identifying specific skin structures and pathologies.

This paper presents a new device for navigational surgery utilizing the fluorescent properties of Indocyanine Green, offering enhanced intra-operative imaging capabilities by identifying tissues with an infrared CMOS camera.

In this study, researchers developed a novel image processing method using a multi-class support vector machine that achieved an 89.3% accuracy in classifying alopecia areata and related conditions, outperforming existing models in classification accuracy.

This review highlights that two-photon excitation microscopy is a valuable tool for visualizing live skin structures and immune responses at high resolution, though its clinical use is hindered by safety and cost issues.

This study introduces a novel method for capturing and digitally rendering the color appearance of physical hair samples using deep neural networks.

This study found that Egyptian women with frontal fibrosing alopecia had lower serum PPARγ levels and a higher occurrence of PPARG gene polymorphism compared to healthy controls, suggesting a potential role for PPARγ in the condition's development.

This review explores the potential of non-invasive photobiomodulation therapy for managing combat and traumatic soft tissue injuries, emphasizing its benefits, efficacy, and underlying mechanisms, but reports no new clinical results.

This study found that high-resolution laser speckle contrast imaging devices provide good reproducibility for assessing skin perfusion in mice but not for measuring haemoglobin oxygenation.

This study reports that improvements to the EczemaNet pipeline, incorporating pixel-level segmentation and data augmentation, enhanced the reliability and interpretability of assessing atopic dermatitis severity from digital images.

This article discusses a new device for visualizing and quantifying skin distribution of a radioactively labelled compound, but reports no new clinical results.

This systematic review provides an in-depth evaluation of non-invasive imaging and biophysical methods for diagnosing and monitoring vitiligo, emphasizing the need for studies with larger sample sizes to verify their use in clinical practice and research.

This study found that using 3D total body imaging with convolution neural networks accurately identifies risk phenotypes for melanoma, suggesting improved objective stratification for early detection and prevention.

HairLossMultinet accurately classifies hair damage with 98% accuracy but needs a more diverse dataset for broader use.

This study found that self-supervised pretraining significantly improves accuracy in medical image classifiers for dermatology and chest X-ray tasks, outperforming supervised baselines and showing robustness to distribution shifts with limited labeled data.

This study found that the multi-thresholding method was the most effective for segmenting hair during laser removal, as it clearly distinguished hair patterns with minimal noise.

This study found that using near-infrared optics, specifically in the second NIR window, allows for effective noninvasive evaluation of intra-hair damage caused by cosmetic treatments, demonstrating distinct damage types and changes in hair condition due to chemical or thermal processes.

This study demonstrates that spatially resolved IR and Raman imaging can effectively reveal the molecular structure and composition of untreated human hair, providing insights into its chemistry and structural integrity.

This paper introduces an algorithm for using smart device-mounted microscopes to analyze scalp images and diagnose hair loss by extracting specific hair loss features.

This study found that the Plcd3(mNab) mutation in mice worsens the alopecia caused by Plcd1 loss, suggesting synergistic effects between Plcd1 and Plcd3 on hair follicle health.

The book discussed in this abstract is a comprehensive guide to hair analysis, detailing the latest methods and applications across various fields such as toxicology and drug monitoring, designed for both newcomers and experts in the field.

This review compiles current knowledge of Eclipta prostrata's botanical details, ethnomedical uses, phytochemical components, and various pharmacological activities, emphasizing its potential for modern pharmaceutical formulations based on its anti-inflammatory, antioxidant, anticancer, and other therapeutic properties.

This review reports various ethnomedicinal uses, phytochemical components, and potential pharmacological effects of Eclipta alba, highlighting benefits like wound healing and neuroprotection, though it underscores the need for further mechanism-based studies and clinical trials.

This study observed nestin-GFP expressing stem cells in the hair follicle bulge of living mice using high-resolution in-vivo multiphoton tomography, allowing migration tracking within their natural skin environment.

This review discusses recent advances in imaging techniques for monitoring stem cells in vivo and reports no new results; it suggests directions for future development in endoscopic molecular imaging tools.

This article explores the theoretical foundations of the ChromaLens Precision Mapping system for analyzing hair, but it does not present any new experimental findings.

The new surgical technique for vitiligo is effective, safe, and cost-efficient.

In this study, researchers used advanced infrared microspectroscopy techniques to map the chemical composition of human hair, revealing new insights such as the presence of glycogen in the outer root sheath and the widespread distribution of calcium carboxylates in the hair cuticle.

This study presents a two-photon imaging method to visualize low-threshold mechanoreceptor axon terminals in live mouse forepaw skin, enabling repeated high-resolution imaging to study sensory circuits during development and adulthood.