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Multi-class Classification of Retinal Eye Diseases from Ophthalmoscopy Images Using Transfer Learning-Based Vision Transformers.
J Imaging Inform Med
January 2025
College of Engineering, Department of Computer Engineering, Koç University, Rumelifeneri Yolu, 34450, Sarıyer, Istanbul, Turkey.
This study explores a transfer learning approach with vision transformers (ViTs) and convolutional neural networks (CNNs) for classifying retinal diseases, specifically diabetic retinopathy, glaucoma, and cataracts, from ophthalmoscopy images. Using a balanced subset of 4217 images and ophthalmology-specific pretrained ViT backbones, this method demonstrates significant improvements in classification accuracy, offering potential for broader applications in medical imaging. Glaucoma, diabetic retinopathy, and cataracts are common eye diseases that can cause vision loss if not treated.
View Article and Find Full Text PDFPETRICCS Guideline Protocol: A Call to Improve Reporting Standards in Cell Culture Research.
J Oral Pathol Med
January 2025
Laboratory of Oral Histopathology, Health Sciences Faculty, University of Brasília, Brasília, Brazil.
Background: Cell culture studies play an important role in addressing fundamental scientific questions. However, inadequate reporting of these studies results in a lack of transparency and reproducibility. Recognizing the need for improvement, several ongoing efforts, such as CRIS guidelines and the ICLAC checklist, are focused on enhancing best practices for in vitro studies.
View Article and Find Full Text PDFThe ejaculatory reflex consists of emission and expulsion, with the latter involving rhythmic muscular contractions that propel seminal fluid. Botulinum toxin, through its inhibitory effects, has been hypothesized to improve premature ejaculation (PE). This study evaluates high-quality evidence on botulinum toxin-A injections into the bulbospongiosal muscle as a treatment for PE.
View Article and Find Full Text PDFBiosimilars: A Critical Review of Development, Regulatory Landscape, and Clinical Implications.
AAPS PharmSciTech
January 2025
School of Pharmaceutical Sciences, Delhi Pharmaceutical Sciences and Research University, New Delhi, India, 110017.
The biopharmaceutical industry has witnessed significant growth in the development and approval of biosimilars. These biosimilars aim to provide cost-effective alternatives to expensive originator biosimilars, alleviating financial pressures within healthcare. The manufacturing of biosimilars is a highly complex process that involves several stages, each of which must meet strict regulatory standards to ensure that the final product is highly similar to the reference biologic.
View Article and Find Full Text PDFMAI-TargetFisher: A proteome-wide drug target prediction method synergetically enhanced by artificial intelligence and physical modeling.
Acta Pharmacol Sin
January 2025
Shanghai Institute for Advanced Immunochemical Studies and School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
Computational target identification plays a pivotal role in the drug development process. With the significant advancements of deep learning methods for protein structure prediction, the structural coverage of human proteome has increased substantially. This progress inspired the development of the first genome-wide small molecule targets scanning method.
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