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Recent Developments in Azetidinone-Azole Conjugates: Emerging Antimicrobial Potentials.
Med Chem
January 2025
Department of Pharmaceutical Chemistry, MM College of Pharmacy, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala 133207, India.
The emergence of multidrug-resistant microbial strains poses a significant challenge to global public health. In response, researchers have been exploring innovative antimicrobial agents with enhanced efficacy and novel mechanisms of action. One promising approach involves the synthesis of hybrid molecules combining azetidinone and azole moieties, capitalizing on the respective antimicrobial properties of both structural elements.
View Article and Find Full Text PDFEmerging Combinatorial Drug Delivery Strategies for Breast Cancer: A Comprehensive Review.
Curr Drug Targets
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Pharmaceutics Research Projects Laboratory, Department of Pharmaceutical Sciences, Dr. Harisingh Gour Vishwavidyalaya, Sagar (M.P.) 470003, India.
Breast cancer remains the second most prevalent cancer among women in the United States. Despite advancements in surgical, radiological, and chemotherapeutic techniques, multidrug resistance continues to pose significant challenges in effective treatment. Combination chemotherapy has emerged as a promising approach to address these limitations, allowing multiple drugs to target malignancies via distinct mechanisms of action.
View Article and Find Full Text PDFDifferentiating Cystic Lesions in the Sellar Region of the Brain Using Artificial Intelligence and Machine Learning for Early Diagnosis: A Prospective Review of the Novel Diagnostic Modalities.
Cureus
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Department of Technology and Clinical Trials, Advanced Research, Deerfield Beach, USA.
This paper investigates the potential of artificial intelligence (AI) and machine learning (ML) to enhance the differentiation of cystic lesions in the sellar region, such as pituitary adenomas, Rathke cleft cysts (RCCs) and craniopharyngiomas (CP), through the use of advanced neuroimaging techniques, particularly magnetic resonance imaging (MRI). The goal is to explore how AI-driven models, including convolutional neural networks (CNNs), deep learning, and ensemble methods, can overcome the limitations of traditional diagnostic approaches, providing more accurate and early differentiation of these lesions. The review incorporates findings from critical studies, such as using the Open Access Series of Imaging Studies (OASIS) dataset (Kaggle, San Francisco, USA) for MRI-based brain research, highlighting the significance of statistical rigor and automated segmentation in developing reliable AI models.
View Article and Find Full Text PDFThe Challenges Ahead: Concepts, Analytics, and Ethics of Value-Based Care in Applied Behavior Analysis.
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December 2024
RethinkFirst, New York, NY USA.
Value-based care has incrementally increased its footprint across healthcare over the past 2 decades. Several organizations in ABA have begun experimenting with various components of value-based care specific to the delivery of ABA services and it seems likely that this trend will continue into the future. For those new to value-based care, this article reviews the main conceptual components as well as common myths and misconceptions about value-based care.
View Article and Find Full Text PDFPilot training for clinical research professionals in using empathy to recognize and respond to implicit bias in research recruitment and retention.
J Clin Transl Sci
November 2024
NYU Clinical and Translation Science Institute, NYU Langone Health and NYU Grossman School of Medicine, New York, NY, USA.
Recruiting and retaining research participants is challenging because it often requires overcoming structural barriers and addressing how histories of mistrust and individuals' lived experiences affect their research engagement. We describe a pilot workshop designed to educate clinical research professionals on using empathy skills to recognize and mitigate bias to improve recruitment and retention. In a post-workshop survey (22/31 participants completed), 94% agreed the workshop helped them practice perspective-taking, recognize implicit bias, and identify opportunities for empathy.
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