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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 identified robust susceptibility genes and potential drug candidates for male-pattern baldness, providing insights into the condition's molecular mechanisms.

In this study, machine learning-based computer-aided diagnosis significantly improved accuracy in diagnosing alopecia areata compared to traditional visual methods, achieving up to 91.9% accuracy using different classifiers like CNN, SVM, and random forest models.

This study found that using curated biomedical databases as training examples for information extraction tasks in Genome-Wide Association Studies can outperform cost-insensitive methods, demonstrating their potential use without expert annotation.

In this study, the use of finasteride in young patients may be linked to a higher risk of anxiety, depression, and suicide-related adverse events.

This study developed and tested a new algorithm for analyzing coat and skin coloration in laboratory animals, using digital images and hierarchical color clustering, which effectively quantified color proportions and tracked changes over time without specialized software.

This study found that trained observers using the Hamilton-Norwood classification were very reliable in assessing balding patterns, while men's self-assessments were moderately accurate compared to observers.

This study presents evidence suggesting that androgenetic alopecia is most likely inherited through a polygenic model, challenging the traditional view that it is caused by a simple Mendelian autosomal dominant gene.

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 introduces a framework to help laypeople evaluate scientific information based on its relevance to specific needs by categorizing causal information into two epistemic games, enhancing their ability to make informed decisions, with a focus on genetics education for practical application.

The researchers reported that a new computational method using side-effect data from social media effectively recovers known drug indications and identifies trial indications, suggesting utility for computational drug repositioning.

This study utilized the Random Forest Algorithm to create a machine learning model aimed at accurately predicting hair loss by considering complex datasets involving genetic, hormonal, lifestyle, and environmental factors, but specific outcomes were not reported.

Karl E. Weick recommended focusing on everyday events and smaller organizations to improve organizational theory.

This review discusses the challenges of interpreting observational studies on COVID-19 due to biases from non-representative samples, such as collider bias, and suggests better sampling methods to mitigate these issues.

In this study, transgenic mice altered to express a Clim-inhibiting molecule under a keratin promoter showed corneal degradation and hair follicle failure, highlighting Clim proteins' role in maintaining these tissues.

This study found that topical minoxidil is more effective than placebo in promoting hair growth in androgenetic alopecia, although cosmetically acceptable results occur only in a subset of patients.

This pilot study found that platelet-rich plasma injections did not improve hair growth in men with androgenetic alopecia.

This review summarizes 25 small molecule drugs with in vitro and in vivo data for COVID-19 treatment, highlighting their structural diversity and potential to guide future antiviral discovery.

This review discusses the role of polarity signaling in coordinating tissue mechanics, micro-environmental functions, and cell fate decisions, but it reports no new results, highlighting the need for further study in mammalian models.

Yes, smoking damages your skin.

Metabolic issues may trigger lymphocytic cicatricial alopecia, and treatments targeting these issues could help.

This study found that salmon tissue-derived exosomes showed significantly greater improvements in hair density and other parameters compared to platelet-rich plasma in patients with mild to moderate androgenetic alopecia.

This study observed that patients with acute alopecia areata treated with Janus kinase inhibitors achieved a higher rate of complete hair regrowth by week 24 compared to those with non-acute disease, highlighting the benefits of early intervention.

TAT-GILZ peptide promotes hair growth by boosting stem cell activity.

This case report describes a 29-year-old man with a year-long non-itchy skin eruption and hair loss, with distinct papules and plaques across his scalp, beard, body, and suprapubic regions, but no systemic symptoms or family history of autoimmune disease.

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.

This study reported that the PM-DBiGRU model enhances aspect-level sentiment classification in drug reviews, outperforming existing methods on the newly proposed SentiDrugs dataset.

This study found that non-blinded assessors in randomized clinical trials exaggerated the effects of experimental interventions by about 29% compared to blinded assessors, indicating a significant potential for observer bias in treatment evaluations.

This study found that the revised BASP classification for pattern hair loss, which addresses certain limitations of the original, could serve as an alternative option despite a decrease in clinical accuracy and ease of use.

This study found that progression ads are more persuasive for individuals with a weak fresh start mindset, whereas before/after ads are more effective for those with a strong fresh start mindset.