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This study suggests that Enterococcus faecium fermentation broth may have anti-aging effects in mice, mainly through modulating gut microbiota and enhancing immunity, with the key component NlpC/P60 potentially boosting host immune responses and increasing beneficial bacterial populations.

This study found that nano-sized lipid particles improved the skin accumulation and retention of dexamethasone compared to a base cream, suggesting potential benefits for inflammatory skin disease treatment.

This research observed that nanoliposomes delivering a combination of bioactive peptides significantly promoted hair growth in vitro and in vivo by enhancing the proliferation and function of hair growth-targeted cells in C57BL/6 mice, suggesting a promising approach for treating androgenetic alopecia.

This study analyzed word dynamics and keyword trends in androgenetic alopecia literature over a decade using natural language processing, revealing hidden patterns and linkages that could inform future research directions and policy decisions.

In this study, the DIET-AI model, developed from a large dataset of over 200,000 images, demonstrated diagnostic performance for 31 skin diseases comparable to dermatologists of varying experience levels in 15 hospitals across China, supporting its potential effectiveness in clinical settings.

This study developed nanoliposomes embedding AR-PROTAC and NFKBIZ siRNA to target androgen receptors and reduce oxidative stress, which improved the follicular microenvironment and enhanced hair regrowth in androgenetic alopecia, suggesting a promising multi-target therapeutic strategy.

This study evaluated various NLP models for detecting bias in medical curricula, finding that fine-tuned BERT models perform well, whereas LLMs, despite being state-of-the-art in many tasks, are unsuitable for this application.

This study suggests that pre-trained Transformers only outperform syntactic and lexical neural networks on unseen DarkNet sentences after extreme domain adaptation, indicating unexpected advantages from their massive pre-training corpora.

This study found that a natural language processing system outperformed ICD code-based strategies in accurately identifying fall-related emergency department visits among older adults.

In this study, the authors found that syntax-based neural networks performed comparably to pre-trained Transformers on tasks involving definitely unseen sentences, suggesting they are a more transparent and parameter-efficient alternative for certain Natural Language Processing applications.

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.

This study suggests that ROXYs and reactive oxygen species are likely involved in the signaling pathways plants use to respond to nitrate deprivation.

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 systemic lupus erythematosus was diagnosed earlier in males than females, with a notable delay in diagnosis for females often due to confounding symptom overlaps with other conditions.

In this case report, a combination therapy including pyrantel pamoate, chlorpheniramine maleate, vitamin B-complex, and topical candlenut oil effectively treated dermatitis and Ancylostoma spp. infection in a dog, leading to improvement in skin condition and hair growth after 14 days.

This review discusses five potential mechanisms for kidney stone formation, including urinary supersaturation, Randall's plaques, sex hormones, the microbiome, and immune responses, and reports no new results.

This review summarizes 15 years of clinical and experimental research advancements in hidradenitis suppurativa, highlighting its recognition as a uniquely healable inflammatory skin disease but reports no new clinical results.

This review discusses the complex causes and treatment challenges of chronic inflammatory skin diseases, emphasizing the need for biomarkers to predict treatment responses; it reports no new clinical results.

This study introduces an extended approach to the Bonferroni procedure that accounts for correlations among endpoints, aiming to improve test power while maintaining strong control of the family-wise type I error rate in clinical trials.

This study introduced LabeledIn, a semi-automatic, human-reviewed catalog of drug-disease treatment relationships, highlighting the important role of human input in creating accurate and detailed drug indication resources.

This study observed that two patients treated with interferon α-2b and ribavirin for chronic hepatitis C experienced complete and reversible straightening of their natural curly hair, which recurred with treatment resumption.

This study found that exosomes from hair follicle mesenchymal stem cells overexpressing lncRNA H19 promoted diabetic skin wound healing by enhancing cell proliferation, migration, and reducing pyroptosis.

This article describes how PESCADOR software assists in creating detailed biological pathway charts from PubMed abstracts, focusing on hair and breast development case studies without providing new clinical results.

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 study demonstrates that a proposed multi-stage framework improves the accuracy and faithfulness of drug-related responses generated by language models, compared to traditional methods.

This study found that current automatic text generation metrics do not predict human preference judgments for long-form question answering, and suggests adopting a multi-faceted evaluation approach focusing on aspects like factuality and completeness.

This study found that polyamine levels in hair samples differ between androgenic alopecia and alopecia areata, suggesting potential non-invasive biomarkers to distinguish between these hair loss conditions.

This study compiled an archive of 684 genes associated with monogenic hair disorders, identifying previously unrecognized components of Hippo signaling and proposing a new biologically-grounded disease taxonomy.

This review reported that tripeptides, such as GHK and KdPT, show promise in enhancing wound healing through multiple mechanisms, including promoting cell migration, collagen deposition, and angiogenesis, while offering antimicrobial and anti-inflammatory benefits for both acute and chronic wounds.

This systematic review synthesizes the current state of drug repurposing, revealing its potential in various therapeutic areas like oncology and infectious diseases through insights from mechanistic studies and real-world evidence, and discusses emerging tools and challenges in the field.