Search

everythingexperts & clinicslearnfaqsresearchcommunity

for

Search:↓

The researchers reported that their novel formulation of pterostilbene-loaded ethoniosomes with folic acid coating effectively targeted lung cancer cells in vitro and demonstrated promising results in animal models, indicating potential for future targeted chemotherapy applications.

This study successfully developed and optimized ethanol-free microemulsion systems for the transdermal delivery of finasteride, showing that the predicted optimal formulations had physicochemical characteristics close to estimated values, without significant damage to treated hair fibers.

This study presents a new hair removal algorithm for dermatoscopic images of skin lesions that improves hair detection accuracy by 2–7% and hair repair accuracy by 2–5% on average, using advanced techniques like maximum variance fuzzy clustering, Criminisi priorities, and the ant colony algorithm.

This study found that niosomes significantly enhanced the skin deposition of retinoic acid while reducing its permeation, outperforming other tested nanoformulations.

This study explored the optimization of phytochemicals from Alstonia boonei to develop potential 5-alpha reductase inhibitors for Benign Prostatic Hyperplasia, finding promising analogs with enhanced binding affinity and stability compared to Finasteride, warranting further experimental validation.

This study found that Brigatinib-loaded nanospanlastics demonstrated enhanced cytotoxicity against lung cancer cells and improved drug stability and release compared to free Brigatinib.

This study reported that a newly formulated Curcumin-loaded proniosome, named F5, exhibited enhanced antiviral efficacy, stability, and safety when compared to Curcumin alone, and improved the therapeutic performance of Acyclovir by reducing its effective dose against Herpes simplex virus.

This review discusses the growing role of colorimetric sensors in food safety, highlighting their potential to enhance detection accuracy and manageability, while also noting challenges such as environmental interference and the need for further industrial validation.

This study found that a collaborative care model in rheumatoid arthritis clinics improved nb-DMARD dose optimization, adherence to monitoring guidelines, and detection of related adverse drug events compared to standard care.

This review highlights recent advancements in molecular understanding and treatment approaches for PCOS, including innovative drug delivery systems and AI-driven precision medicine, but provides no new clinical results.

This review of studies published after 2020 found that probiotics may significantly reduce acne lesions and improve skin health in individuals with acne vulgaris, though further high-quality research is needed for confirmation and treatment optimization.

This study found that applying transfer learning with CNN architectures like AlexNet, VGG16, and ResNet50 achieved 99% accuracy in classifying multiclass hair disorders, suggesting a potential technological aid for dermatologists in diagnosing and treating hair conditions.

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.

This study found that a sub-fraction of Noni fruit, FEA-3, showed hair growth-promoting effects in a rabbit model of androgenic alopecia, similar to Minoxidil.

This study found that Si Jun Zi Tang may have anti-aging effects in mice, linked to inhibition of the PI3K-AKT and P38 MAPK signaling pathways.

In this study, researchers explored drug repurposing as a potential strategy for treating psoriasis and identified Pioglitazone, Trimipramine, and Dimetindene as promising candidates for this indication, based on molecular docking and predictive algorithms.

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 study predicted that 6-hydroxy genistein, coreximine, and scoulerine from Dadap leaves may act as anti-alopecia agents by interacting with JAK2, but further in-vivo testing is needed.

This study identified diltiazem, a calcium channel blocker for hypertension, as a promising repurposed treatment for influenza, enhancing antiviral efficacy when combined with oseltamivir.

In this study, the integration of artificial intelligence in medicine was discussed, highlighting its potential to enhance diagnostic processes, optimize therapies, and provide advanced patient monitoring despite challenges like data inconsistency and limited model transparency.

This study reports that adjusting the valence states of Mo in Pluronic F127-coated MoO3-x nanozymes enhances their selective H2O2-related catalytic activity, showing promise in acute kidney injury treatment and enabling real-time monitoring of therapy effectiveness through ROS-responsive photoacoustic imaging.

This study identified several compounds from traditional Chinese medicines that may inhibit prostaglandin D2 synthase, potentially providing promising candidates for treating androgenic alopecia with minimal adverse skin reactions.

This case study reported an improvement in lower limb edema for a patient with type 2 diabetes mellitus after starting dulaglutide treatment, suggesting a potential role of the drug in sodium retention disorders.

This review highlights that nanotechnology enhances the solubility, stability, and bioavailability of phytochemicals from medicinal plants, improving their therapeutic efficiency in disease models like cancer and infections. However, it indicates that further research is necessary to optimize formulations and ensure safety for clinical use.

This study found that MEGA PROTAC improved the prediction of ternary structures with higher maximum DockQ scores compared to the BOTCP method in 16 out of 22 test cases.

This study found that patients with chronic kidney disease-associated pruritus had elevated serum levels of interleukin 31, suggesting a possible role of this cytokine in the condition.

This article discusses using high performance liquid chromatography to optimize mobile phase composition for separating synthesis products of Finasteride, without reporting new clinical results.

This study suggests that 9-Octadecenoic acid (Z)-, 2,3-dihydroxypropyl ester from African Yam bean seeds may inhibit the human 5α-reductase II enzyme, potentially helping manage BPH, although further studies are needed.

Innovative methods are reducing animal testing and improving biomedical research.

This study reported that AutoML effectively modeled itching and pain development, as well as app use, in patients with chronic eczema or psoriasis using a smartphone monitoring app, revealing that factors like BMI, age, and disease activity significantly influenced app engagement.