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This review explores clinical studies on low-level laser therapy (LLLT) for alopecia and suggests it may benefit patients unresponsive to conventional treatments, but larger studies are needed to confirm efficacy.

This study presents a computational approach, CATNIP, which repurposes drugs using only their biological and chemical information, predicting new uses like adrenergic uptake inhibitors for Parkinson's and vandetanib for Type 2 Diabetes.

This study used machine learning models, such as Convolutional Neural Networks (CNN), to accurately differentiate False Daisy from similar plants like Smooth Joyweed.

This study examined the role of long non-coding RNAs in wool fineness among Gansu alpine fine-wool sheep, identifying specific lncRNAs and target genes that may enhance wool quality.

Nanostructured lipid carriers can improve alopecia treatment by enhancing drug delivery and promoting hair growth.

This study found that arginine-loaded lipidic nanoparticles improved hair follicle growth in male hamsters more effectively than an aqueous arginine solution.

This study evaluated AI chatbots' responses to scabies-related questions, finding DeepSeek had the highest accuracy despite higher hallucination rates, while ChatGPT-5.2 provided more readable and reliable information, highlighting variability and the need for cautious use of AI in health queries.

This study demonstrates that machine learning-assisted fabrication of PRP-incorporated microneedles effectively promotes hair regrowth in AGA mice, outperforming minoxidil and mitigating biosafety risks associated with synthetic materials.

This study reports that a patient with rare linear lichen planopilaris experienced complete hair regrowth after 12 weeks of treatment with the antibody ixekizumab, suggesting it as a potential targeted therapy.

This study explored using large language models to automatically identify monkeypox cases from electronic medical records, finding that models based on DeepSeek features performed better than traditional methods, with logistic regression showing high accuracy in detecting key symptoms like fever and rash.

This study found that long-lived proteins in mice, identified across various tissues, may be linked to neurodegenerative and cardiovascular diseases due to their low renewal rate and increased risk of damage.

The laser therapy device effectively increased hair growth in people with androgenetic alopecia.

Nephronectin is linked to worse outcomes in breast cancer and helps cancer spread.

EfficientNet improves accuracy in diagnosing hair loss stages.

This study identified 2884 long non-coding RNAs (lncRNAs) associated with hair follicle cycling in yaks and highlighted sequence conservation with cashmere goats, suggesting potential pathways for hair growth regulation.

This review examines the advances in nanostructured lipid carriers for treating hyperpigmentation but presents no new clinical results; the authors highlight their potential benefits and applications.

This review highlights the potential roles of long non-coding RNAs (lncRNAs) in malignant brain tumors, reporting that further research into their involvement in therapy resistance and cancer pathways could improve diagnosis and treatment outcomes.

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.

This study observed that using the LMNN algorithm improved diagnostic accuracy in identifying biomarker correlations associated with hair loss, suggesting potential for advanced automated diagnostics.

Low-level laser therapy may help regrow hair in dogs with non-inflammatory hair loss.

This study introduces Kalya Research, an AI-driven tool designed to identify and categorize literature on complementary and alternative medicines, showing its effectiveness compared to Medline in finding relevant alopecia research within the context of breast cancer patients.

This retrospective study found that applying local skin precooling before scalp nerve block significantly reduced injection site pain during PRP mesotherapy for patients with androgenetic alopecia, compared to those who did not receive precooling, thus improving patient comfort and compliance.

This study revealed specific patterns and potential functions of long non-coding RNAs during the hair follicle cycle of yaks, offering insights into their sequence conservation between yaks and cashmere goats.

This presentation will review neural networks and artificial intelligence basics, then explore their recent developments and applications in medical care, particularly in decision-making processes to enhance diagnostic accuracy and treatment strategies, ultimately improving patient outcomes in critical situations, as reported in this source.

This study evaluated an AI-driven system for personalizing non-medicated hair loss treatments in women, showing significant improvements in hair growth, shedding, texture, and scalp health over 24 weeks, with no adverse effects reported.

This study found that intense pulsed light treatment achieved a mean of 85% hair reduction in two patients with faun tail, although local anesthesia may be needed due to severe pain associated with neurological abnormalities.

This study found that low-level laser therapy may reduce inflammation and increase hair thickness in patients with lichen planopilaris after six months of treatment, though the small sample size limits the findings.

This study reported distinct expression patterns and potential functions of lncRNAs during the hair follicle cycle in yaks, suggesting insights into lncRNA roles and conservation between yak and cashmere goat.

This study suggests that platelet-rich plasma injections are a promising option for the treatment of androgenetic alopecia, both alone and as an addition to other nonsurgical and surgical treatments.

In this study, the PLP2 gene was found to promote secondary hair follicle development in Liaoning cashmere goats, with its expression negatively regulated by melatonin and potentially affecting follicle development via the BMP pathway.