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In this case report, two patients with polyautoimmunity and difficult-to-treat lupus erythematosus experienced significant symptom improvement after adding anifrolumab to their regimen, suggesting its potential as an effective add-on therapy for refractory cutaneous symptoms in autoimmune conditions characterized by elevated interferon alpha activity.

This study found that Na CMC hydrogel loaded with PEG-coated silver nanoparticles demonstrated superior antibacterial and wound-healing efficacy compared to commercial silver sulfadiazine cream in a wound-healing model.

This review highlights recent advancements in using nanotechnology to improve the function and delivery of PROTAC drugs, despite existing challenges like low solubility and poor permeability, aiming to enhance their potential in disease treatment.

This article critically examines the relationship between new media and digital games, emphasizing their cultural and historical contexts, but provides no new empirical findings.

This review outlines the current state of freeze-dried platelet-rich plasma (FD-PRP) research, emphasizing its use in wound healing, lumbar fusion, knee conditions, and dentistry, but reports no new clinical findings.

This practical guide introduces methods to study human dermal white adipose tissue but does not report new clinical results, emphasizing available techniques and staining protocols.

This report describes a study of estuarine bed-sediment quality in New Jersey and New York post-Hurricane Sandy, focusing on contamination extent and potential long-term impacts, with no new findings included.

This study aimed to develop a herbal hair serum to enhance hair growth and prevent hair loss, addressing common issues like extreme hair loss in younger populations caused by lifestyle factors such as stress and dietary habits.

This study found that decision-making effects related to time of day and chronotype were only significant when using RNA-based chronotype measurements, indicating molecular clock differences may influence these behaviors.

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 demonstrated that GP derivatization improves mass spectral analysis of spironolactone and its metabolites by reducing in-source fragmentation and enhancing signal clarity, laying the groundwork for future advancements in reaction optimization and quantitative assay development.

This study highlights that hydrogel formulations unexpectedly prolonged healing in trials, pointing to a need for design based on detailed pathophysiological insights rather than empirical methods, and suggests technologies like AI materials optimization and 3D bioprinting to aid their clinical use for cancer survivors.

This review discusses how recent advancements in computational and lab-based methods have enhanced peptide drug discovery, noting the efficiency and cost benefits over traditional approaches and the potential for targeting difficult protein interactions, including protein degradation using proteolysis-targeting chimeras.

This review summarizes the use of 3D printing technologies for creating microneedles and evaluates their associated benefits, challenges, and regulatory considerations, but does not present new experimental results.

This review reports that sodium alginate-based hydrogels show promise in biomedical applications due to their biocompatibility and versatility, but challenges such as mechanical strength and stability remain, highlighting the need for continued research to facilitate their clinical transition.

This study found that the WNMFDDA model effectively predicts drug-disease associations, achieving high accuracy in cross-validation and confirming most candidate associations through existing databases.

This study found that machine learning techniques, such as Random Forest, SVMs, and KNN, can significantly improve the early detection and determination of hair loss, potentially transforming treatment with more accurate and personalized approaches compared to traditional methods.

This review highlights recent advancements in microfluidics for 3D tissue model generation and discusses its applications in tissue engineering and high-throughput drug screening without reporting new experimental results.

This review discusses the medical and dental applications of polyhydroxyalkanoates (PHAs), highlighting their potential for improving drug delivery and providing biocompatible solutions for medical devices, but reports no new clinical results.

This research discusses the shift in cosmetic dermatology towards integrating regenerative medicine, AI, and personalized care, highlighting their potential to improve aesthetic outcomes and skin function while considering ethical and regulatory challenges.

This study found that microwave-assisted Opuntia humifusa extract improved antioxidant and anti-inflammatory properties to counteract particulate matter's harmful effects on HaCaT keratinocytes.

This study reported that the use of composite RGDmix hydrogel improved the survival and proliferation of human amniotic mesenchymal stem cells and increased growth factor expression, enhancing wound healing through the RGDSP/integrin αv/PI3K/AKT signaling pathway.

This review discusses recent advances in polydopamine-based biomaterials and their growing potential in personalized medicine, but reports no new experimental results; the authors highlight both opportunities and challenges for future applications.

This study identified eight isoflavone derivatives as potential nonsteroidal inhibitors of rat 5α-reductase using a pharmacophore model in virtual screening.

In this study, researchers successfully developed a 3D printed alginate-gelatin composite hydrogel scaffold characterized by high porosity and potential applications in drug delivery and screening, particularly for neurodegenerative diseases like Alzheimer's.

This study found that certain pyrazole derivatives may serve as effective 5α-reductase inhibitors with potential use in the treatment of androgenetic alopecia, based on molecular docking analyses.

This study used Density Functional Theory-based computational methods to analyze finasteride's molecular properties, finding that the GGA/PW91 method closely matches experimental data for vibrational frequencies and geometric parameters.

This article updates a prior work on pharmacophore modeling and highlights the advances in 3D database searching technologies for drug design, without presenting new research findings.

In this study, researchers evaluated deep learning methods for diagnosing Alopecia Areata and found that a modified Inception-Resnet-v2 model achieved a high validation accuracy of 97.94% and loss of 10.4%, suggesting it as an effective tool for classifying alopecia-affected hair.

This review discusses potential cell sources and bioengineering strategies for regenerating hair follicles with functional cycling, reporting no new results.