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This study found that exosomes derived from mesenchymal stem cells primed with rapamycin significantly enhanced hair regrowth, hair density, and hair follicle development in depilation-induced mice compared to controls, suggesting a potential therapeutic approach for hair loss.

This review compiled by the authors emphasizes the traditional use of medicinal plants for dermatological disorders in India, highlighting the need for further scientific studies to validate their effectiveness and suggesting potential for drug development based on ethnodermatological practices.

This review discusses the development and clinical progression of PROTAC technology for targeted protein degradation, highlighting its potential to address previously "undruggable" targets but reports no new clinical results.

In this review, researchers introduced clinically tunable siRNA delivery systems for hair loss treatment, discussing design principles and analyzing relevant clinical trials to propose a framework for optimizing siRNA delivery in a clinical context.

This study develops FR-1, a topical small molecule, which reduces scarring and avoids skin atrophy in a murine wound model, showing potential for treating fibrosis without the side effects of current therapies.

This study found that a microneedle patch with recombinant collagen XVII significantly improved hair coverage, follicle density, and angiogenesis in an androgenic alopecia mouse model, showing potential as a novel therapeutic strategy alongside established treatments like minoxidil.

This study found that human umbilical cord mesenchymal stem cells (hUCMSCs) promoted hair regeneration in androgenetic alopecia model mice by activating Wnt/β-catenin signaling, enhancing hair follicle stem cell proliferation, and reducing dermal papilla cell apoptosis.

This study observed that overexpressing TSPO in the hippocampal dentate gyrus of mice led to significant anxiolytic and antidepressant-like effects, potentially mediated by increased allopregnanolone synthesis.

This article discusses the potential for combining PROTACs with other therapeutic modalities in drug discovery and reports no clinical results.

This review discusses how targeting protein degradation processes may help overcome cancer drug resistance, but reports no new clinical results and suggests further research for precise therapeutic strategies.

This review detailed the significant progress and challenges in the design and application of PROTACs, a novel class of cancer therapeutics, highlighting their clinical trials, design complexities, and the role of artificial intelligence in improving their efficacy and selectivity for cancer therapy.

In this study, researchers discovered two new signaling pathways that regulate how melanocytes establish pigment patterns in reconstituted hair-bearing skin, offering insights that could inform strategies to prevent hair greying.

This review identified two promising therapeutic targets for drug repurposing to treat refractory angina in patients with angina pectoris without obstructive coronary artery disease: endothelin-1 receptor blockers and soluble guanylate cyclase stimulators.

This chapter reviews various synthetic methods for creating pharmacologically active diazines, particularly focusing on pyrimidines, and discusses their potential in clinical applications. It also examines novel synthetic strategies that improve the drug-like qualities and safety profiles of these compounds.

This review discusses the diverse functions and therapeutic potential of ectopic olfactory receptors throughout the body, emphasizing their roles in various cellular processes and potential in cancer detection and therapy, but reports no new clinical results.

Lacto-fermentation changes amino acid profiles in bovine colostrum, but results are inconsistent.

This study reported that a modified version of Thymosin beta 4, called PEG-rTβ4, demonstrated potential as a treatment for acute myocardial infarction by improving cardiac function and reducing cell death via specific biochemical pathways, suggesting its promise in drug development efforts.

This article reviews hair analysis for drug detection and its applications in various fields, but reports no new research findings, emphasizing the need to consider the method's complexities and potential pitfalls.

This study reported that the Computational Analysis of Novel Drug Opportunities platform effectively uses integrated biological data, including side effects and pathways, to generate potential drug candidates for colon cancer and migraine disorders.

In this study, researchers evaluated drug-target interaction data from three major resources and developed a framework for drug repurposing, revealing associations between drug properties and therapeutic groups to aid in compound prioritization and predicting repositioning opportunities for existing drugs, particularly in cancer treatment.

In this study, the researchers performed a comparative analysis of drug-target interaction data from multiple databases to refine drug repurposing strategies, revealing potential associations between drug characteristics and therapeutic groups, and predicting repositioning opportunities for FDA-approved drugs across major cancer types.

This article discusses the use of hair analysis in addiction cases, highlighting its value in providing critical information about substance use patterns, and presents no new experimental results.

This review reports that hair analysis can confirm drug exposure but not accurately estimate doses due to variability and confounding factors like melanin and cosmetic treatments, suggesting it should be used as a qualitative forensic tool rather than for precise dose quantification.

This study employed multiple linear regressions to analyze hydantoin analogues and produced a model with strong predictive abilities for designing new androgen receptor modulators.

This study identified new potential targets and indications for several marketed drugs using in silico profiling, suggesting opportunities for drug repositioning.

In this study, researchers validated a computational workflow for repurposing non-antibacterial drugs as antibacterial agents and highlighted daprodustat, combined with an efflux pump inhibitor, as a promising strategy against bacterial pathogens.

This article discusses using hair analysis to monitor drug use but does not present new research findings.

This study used micro-segmental hair analysis to identify the day of drug intake and suggested differing uptake mechanisms for co-administered drugs based on their properties.

This study proposes an AI-based method, DRGCC, using GraphSAGE and clustering constraints to predict associations between drugs and diseases, demonstrating reliable predictive performance that may aid drug repositioning efforts, including exploring drugs for COVID-19 treatment.

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.