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| http://dx.doi.org/10.1002/ctm2.1600 | DOI Listing |
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A Systematic Review of Spironolactone Nano-Formulations for Topical Treatment of Skin Hyperandrogenic Disorders and Chronic Wounds.
Pharmaceutics
December 2024
Department of Pharmacy, University of Huddersfield, Huddersfield HD1 3DH, UK.
Spironolactone (SP), an aldosterone inhibitor widely used to treat androgen-dependent disorders such as acne, hirsutism, and alopecia, has demonstrated therapeutic potential in both oral and topical formulations. However, SP's low solubility and poor bioavailability in conventional formulations have driven the development of novel nanocarriers to enhance its efficacy. This review systematically examines recent advancements in SP-loaded nanocarriers, including lipid nanoparticles (LNPs), vesicular nanoparticles (VNPs), polymeric nanoparticles (PNPs), and nanofibers (NFs).
View Article and Find Full Text PDFBlended ƙ-carrageenan and xanthan gum hydrogel containing ketoprofen-loaded nanoemulsions: Design, characterization, and evaluation in an animal model of rheumatoid arthritis.
Drug Deliv Transl Res
January 2025
Departamento de Farmácia Industrial, Laboratório de Tecnologia Farmacêutica, Programa de Pós-Graduação Em Ciências Farmacêuticas, Centro de Ciências da Saúde, Universidade Federal de Santa Maria, Santa Maria, RS, CEP 97105-900, Brazil.
This study reports the preparation of hydrogels (HG) made with xanthan gum (XG) and ƙ-carrageenan (KC) polysaccharides containing ketoprofen (KET)-loaded nanoemulsions (NK) and their evaluation in a rheumatoid arthritis (RA) model. The nano-based HGs exhibited nanometric-sized droplets (~ 100 nm), an acidic pH (5.10-6.
View Article and Find Full Text PDFFitness for Purpose of Text-to-Image Generative Artificial Intelligence Image Creation in Medical Imaging.
J Nucl Med Technol
January 2025
Charles Sturt University, Wagga Wagga, New South Wales, Australia.
The recent emergence of text-to-image generative artificial intelligence (AI) diffusion models such as DALL-E, Firefly, Stable Diffusion, and Midjourney has been touted with popular hype about the transformative potential in health care. This hype-driven, rapid assimilation comes with few professional guidelines and without regulatory oversight. Despite documented limitations, text-to-image generative AI creations have permeated nuclear medicine and medical imaging.
View Article and Find Full Text PDFA comparative analysis of generative artificial intelligence responses from leading chatbots to questions about endometriosis.
AJOG Glob Rep
February 2025
University of Texas Southwestern, Dallas, TX (Cohen, Ho, McIntire, Smith, and Kho).
Introduction: The use of generative artificial intelligence (AI) has begun to permeate most industries, including medicine, and patients will inevitably start using these large language model (LLM) chatbots as a modality for education. As healthcare information technology evolves, it is imperative to evaluate chatbots and the accuracy of the information they provide to patients and to determine if there is variability between them.
Objective: This study aimed to evaluate the accuracy and comprehensiveness of three chatbots in addressing questions related to endometriosis and determine the level of variability between them.
The Algorithmic Divide: A Systematic Review on AI-Driven Racial Disparities in Healthcare.
J Racial Ethn Health Disparities
December 2024
Division of Plastic Surgery, Mayo Clinic, 4500 San Pablo Rd, Jacksonville, FL, 32224, USA.
Introduction: As artificial intelligence (AI) continues to permeate various sectors, concerns about disparities arising from its deployment have surfaced. AI's effectiveness correlates not only with the algorithm's quality but also with its training data's integrity. This systematic review investigates the racial disparities perpetuated by AI systems across diverse medical domains and the implications of deploying them, particularly in healthcare.
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