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This study evaluates a framework using neural networks and machine learning techniques to classify and detect Alopecia Areata from hair images, aiming for accurate differentiation between healthy hair and the condition.

This study introduces a novel image enhancement method that significantly improves the visual quality of low-light sports images by utilizing improved bilateral filtering and the CLAHE algorithm, achieving a 65.24% improvement in color and edge detail preservation compared to state-of-the-art methods on the LOL dataset.

This study used a deep learning approach that successfully predicts alopecia, psoriasis, and folliculitis with a 2D convolutional neural network, achieving a training accuracy of 96.2% and validation accuracy of 91.1%.

This study reviews the evolution and modifications of microneedle drug delivery systems, initially designed for percutaneous use, now expanded for targeting a variety of tissues and organs such as ocular, oral mucosal, and gastrointestinal, suggesting widespread future applicability.

This study found that a deep learning approach successfully predicted three types of hair and scalp diseases with high accuracy, despite challenges in dataset availability and image variety.

This study developed a method that combines image-based and simulation techniques to improve the reconstruction of hair dynamics from multi-view videos, enabling accurate hair motion representation and animation.

MRI helps distinguish between pituitary adenomas and craniopharyngiomas, guides treatment for pediatric CNS tumors, and assesses rhinocerebral mucormycosis with a high mortality rate in transplanted patients.

This review analyzes how the pharmaceutical industry's emphasis on lifestyle drugs and marketing practices leads to the integration of pharmaceuticals into everyday life, with a domestic focus and view of drugs as quick solutions.

In this study, a deep learning model using an optimized VGG19 architecture achieved a high classification accuracy of 98.64% for detecting ten hair disease classes from a balanced dataset, indicating its potential for reliable use in mobile diagnostics for clinical and remote applications.

This study demonstrates a sample preparation method for wool follicles that allows for clear keratin labeling and ultrastructural preservation in microscopy, reducing common artefacts from conventional fixation techniques.

This review discusses strategies to enhance mesenchymal stem cell therapy effectiveness but reports no new clinical results; it highlights the need for improved consistency and efficacy in MSC-based treatments.

This study found that Biofield Energy Healing Treatment significantly increased the proliferation of human hair follicle dermal papilla cells in vitro, suggesting potential as a hair growth enhancer.

In this study, researchers found that Biofield Energy Healing Treatment significantly increased the proliferation of human hair follicle dermal papilla cells in vitro, suggesting potential hair growth benefits.

This study found a significant positive correlation between hair thickness and growth rate, with a notably slower growth rate observed in men with male pattern hair loss compared to healthy controls.

In this study, fibronectin coating on a low-adhesive substratum increased cell aggregation, growth, and motility, enhancing the formation of hair follicle dermal papilla spheroids.

This study developed a model for detecting sparse hair clusters using enhanced object detection neural networks and medical images, which accurately identifies and counts sparse hair clusters with greater accuracy and efficiency than existing methods.

This chapter reviews nanotechnology in cosmetics, detailing various formulations, performance assessment methods, and evolving regulations, while discussing safety, stability, and effectiveness concerns; it reports no new experimental results.

This study found that "micro skin tissue columns" improved wound healing by enhancing re-epithelialization, collagen deposition, dermal remodeling, and reducing inflammation without causing long-term donor site morbidity.

This study found that dual-frequency ultrasound with microbubble cavitation significantly enhanced minoxidil delivery and hair growth in both lab and animal models compared to single-frequency ultrasound, without damaging the skin in mice.

This study found that near-infrared LED therapy enhanced ATP synthesis, reduced reactive oxygen species, and promoted collagen production and hair growth more effectively than white LEDs in human skin cells and a photoaging mouse model.

This research found that liquid-state liposomes and niosomes may enhance finasteride delivery to pilosebaceous units in hamsters more effectively than gel-state vesicles or hydroalcoholic solution.

This study introduced a single-stage network using large kernel attention that effectively restores high-resolution images by capturing both global and local details, reducing parameters and improving processing speed.

This article discusses the pervasive presence and influence of advertisements in daily life but does not provide new research findings.

This study found that their proposed method for facial image restoration using Denoising Diffusion Probabilistic Models produced higher-quality results compared to traditional methods, particularly improving face recognition accuracy with different types of masks.

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%.

The researchers reported that pulsed FUS can enhance the tumor-killing effects of cisplatin by unbinding it from albumin in cervical cancer, but further study is needed to measure its selective delivery to tumors.

In this study, researchers administered eight sessions of intradermal injections containing growth factors into the scalp of 1000 patients, reporting a significant reduction in hair fall in 83% of participants and increased total hair count and shaft diameter, with promising tolerance and safety.

This study found that Phaeodactylum tricornutum extract enhanced hair follicle cell proliferation, indicated by increased keratin and ERK1/2 signaling, suggesting its potential for hair care applications.

This study developed a deep learning model using the VGG architecture to predict hair disorders and provide tailored therapeutic suggestions, showing reliable recognition of conditions like dandruff, fungal infections, and alopecia by analyzing images of hair and scalp.

This study found that using nanoporous silica entrapped lipid-drug complexes enhanced the solubility and bioavailability of dutasteride in beagle dogs.