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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 identified 19 genes targeted by 29 potential drugs for topical treatment of chemotherapy-induced alopecia, suggesting avenues for drug repositioning in pharmaceutical research.

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.

This abstract describes Upubscience Publisher as a prominent publisher of over 40 open access, peer-reviewed journals across numerous academic fields, supported by an editorial team of leading researchers. Results are not reported in this description.

This review examines the current landscape of drug repositioning, highlighting that computational methods expand possibilities for reusing existing drugs to treat unmet medical needs. The authors discuss both the potential of these methods and the challenges faced in identifying new therapeutic applications.

This study examined 201 Korean academic articles on scalp and hair research from 1994 to 2024, finding a shift from technique-driven studies to more interdisciplinary, application-oriented research, reflecting broader industrial, medical, and psychological interests over time.

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 applied semantic text-mining to identify phenotypes linked to over 6,000 diseases, demonstrating that these phenotypes can accurately identify known disease-associated genes, creating a human disease network based on phenotypic similarity.

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 study found that non-bleeding adverse events associated with NOACs affect multiple organ systems, emphasizing the importance of clinical vigilance. Specific NOACs like dabigatran, apixaban, edoxaban, and rivaroxaban were linked to distinct adverse reactions, including metabolic imbalances, thyroid disorders, and menstrual irregularities.

This study used association rule mining and network analysis to identify frequently combined herb sets for treating alopecia from 56 articles, highlighting the potential of Polygonum multiflorum, Angelica sinensis, and Ligusticum chuanxiong in traditional medicine and suggesting further bioinformatics research to understand their efficacy.

This study introduces PROMETHEUS, a framework that organizes causal claims from scientific texts into navigable and persistent "causal atlases," enhancing research by highlighting localized evidence, agreement, and contradictions within complex data sets.

This study highlights the use of data mining techniques to identify malnutrition and nutritional deficiencies contributing to global health burdens, but it presents no new research findings.

In this narrative review, the authors highlighted that AI-supported electronic health record analysis could help recognize Polycystic Ovary Syndrome/Polyendocrine Metabolic Ovarian Syndrome earlier, but also warned that these systems might perpetuate historical biases if not properly validated and interpreted.

This review discusses the integration of drug repurposing with personalized medicine through off-label prescribing and reports no new results, highlighting the potential for systematic exploration using omics technologies.

This review discusses the role of proteomics in understanding skin diseases such as cancers and psoriasis, with findings suggesting cell death and metabolism as major areas of focus, but reports no new experimental results.

This review discusses recent advances in droplet microfluidics for chip-based technologies such as single-cell analysis, small-scale cell cultures, and high-throughput drug screening, and it reports no new results.

This study introduces MicrobeFDT, a tool that clusters chemically similar compounds and links them to gut microbial enzymes and toxicities, demonstrating its utility by uncovering previously unknown metabolism of the cancer drug altretamine.

This review highlights the potential of inorganic nanoparticle-based scaffolds as innovative tools for advanced wound care, emphasizing their ability to provide antimicrobial action and regenerative support, while also discussing fabrication strategies and challenges in optimizing their clinical application.

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.

This scoping review describes the current use of artificial intelligence in alopecia research, highlighting AI's evolution from diagnostic to prognostic applications in dermatology and identifying gaps in multimodal integration and fairness across demographics.

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 reports on a new semantic annotation approach used to identify substances in MEDLINE abstracts responsible for adverse drug reactions, with promising performance shown by a prototype system.

This study concluded that TrichoScan is error-prone in its current form and overestimates certain hair growth parameters, with results not aligning with clinical severity of alopecia.

In this study, nanoemulsion formulations were found to significantly enhance the skin retention of the antiseptic agent triclosan, with the optimal mixture being a low surfactant concentration, as demonstrated through quantitative and qualitative analysis using tape-stripping and micro CT scans.

This article discusses the potential of RNA-based biopesticides for sustainable agriculture and reports no new experimental results; it highlights the need for improved delivery systems and regulatory development to enhance deployment.

This study analyzed 853 articles to reveal that research on silica-based nanobiomaterials in regenerative medicine has rapidly increased, with distinct regional differences in impact and emerging focus areas in drug delivery and wound healing.

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 article discusses various techniques to achieve a cosmetically attractive single donor scar in hair restoration surgery, reporting no new clinical findings.