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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 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 describes a follicular automaton model that simulates human hair cycles and may replicate hair pattern evolution seen in diffuse or androgenetic alopecia.

In this study, researchers developed a predictive model for the onset of alopecia areata by analyzing six datasets to identify key feature genes and employing various machine learning algorithms, ultimately finding the XGBoost model most effective for clinical application.

This review presents a comprehensive evaluation of medical reasoning using large language models, highlighting a significant gap between exam-level performance and true clinical decision-making accuracy.

This study identified a four-gene loop as a non-invasive biomarker that selectively activates in alopecia areata, providing a precise target for JAK inhibitor treatments.

This study demonstrated that a computational screening process can identify existing drugs and natural compounds with potential anti-COVID-19 activity, highlighting some candidates for further experimental validation.

This article discusses ovarian steroid cell tumors, which can produce testosterone and manifest symptoms like hirsutism, emphasizing surgery as the primary treatment, but reports no new clinical findings.

This study outlines the Human Gene Correlation Analysis tool, which classifies human genes by coexpression levels and identifies overrepresented annotation terms in correlated gene groups, with no new clinical results reported.

Hair movement can indicate hair quality and health.

Hair movement can indicate hair quality and health.

This study found that the peptides RMYYY and VMYMI displayed stronger binding energy and more frequent interactions with HPGDS compared to the native inhibitor, suggesting potential as future therapeutic drugs.

This study proposed a new approach to combat leishmaniasis by targeting host proteins rather than the parasite itself, identifying eight existing drugs as potential treatments despite not having been previously tested on leishmaniasis.

Combining different treatments often works best for acne scars, but see a dermatologist first.

This study analyzed the transcriptome of the Tianzhu white yak, identifying differential transcripts that shed light on the molecular mechanisms influencing hair length growth variation in this species.

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 examined the cardiovascular safety of oral minoxidil, used off-label for androgenetic alopecia, particularly as its usage expands in real-world settings, although specific results were not detailed in the abstract.

In this study, researchers used computational modeling and virtual screening to identify two FDA-approved drugs, Tadalafil and Finasteride, that may effectively inhibit key proteins involved in melanoma progression, suggesting potential for new therapeutic strategies against aggressive melanoma.

In this study, researchers using QM/MM simulations identified key molecular motions and residue interactions in the enzyme SRD5A2 that significantly influence its catalytic efficiency, demonstrating that specific residues play critical roles in stabilizing transition states and reducing activation barriers.

This study applied a machine learning-based genomic analysis to identify genetic markers associated with wool traits in Central Anatolian Merino sheep, successfully highlighting loci relevant to fiber diameter, staple length, and greasy fleece yield, which could inform breeding programs to enhance wool quality and yield.

This study explored the potential of human hair keratin as a filtration material, finding that it may effectively absorb the pollutants diclofenac and perfluorobutanesulfonate. The researchers reported significant binding affinities through molecular simulations, supporting further investigation into keratin's use for water purification.

This study found that the phytosterols β-sitosterol, stigmasterol, and campesterol have low-to-negligible inhibitory activity against steroidal 5α-reductase type 2 compared to the synthetic inhibitor dutasteride, with β-sitosterol showing the highest activity among the tested phytosterols.

This study identified ten novel compounds that may effectively target steroid 5 alpha-reductase 2 (5αR-2) for potential treatment of benign prostate hyperplasia, exhibiting comparable binding energies to existing drugs like finasteride and dutasteride.

This study found that Dex-loaded hyaluronic acid hydrogel microneedles significantly reduced pain in an acute inflammatory visceral pain model without sedation, suggesting a promising and patient-friendly alternative to intravenous delivery.

This review examines the use of computer vision techniques, specifically deep learning architectures and image processing algorithms, for detecting and assessing skin conditions like vitiligo and dermatitis, and highlights the need for disease-specific datasets to improve automated diagnostic tools in dermatology.

Cold Plasma shows promise for healing wounds by killing bacteria and helping tissue grow.

This study reported that a new deep learning algorithm using Mask R-CNN improved hair follicle classification accuracy by 4 to 15%, suggesting potential clinical application for enhanced hair loss diagnosis.

In this study, Jeffi Chao Hui Wu documented physiological transformations from his "Danben Origin" practice, including the natural reversal of conditions like androgenetic alopecia, macular degeneration, and carpal tunnel syndrome.

This review examines the genetic challenges in improving wool and cashmere fibers, emphasizing the need for further research on wool keratins and keratin-associated proteins to enhance fiber characteristics.

This study examined noninvasive tissue samples, including buccal swabs, hair follicles, saliva, and urine cell pellets, and found hair follicles and urine cell pellets promising for transcriptomic and clinical analyses due to their sample quality and performance in disease-relevant applications.