Plant diseases annually cause damage and loss of much of the crop, if not its complete destruction, and this constitutes a significant challenge for farm owners, governments, and consumers alike. Therefore, identifying and classifying diseases at an early stage is very important in order to sustain local and global food security. In this research, we designed a new method to identify plant diseases by combining transfer learning and Gravitational Search Algorithm (GSA).
View Article and Find Full Text PDFHuman cytomegalovirus (HCMV) can cause severe diseases in fetuses, newborns, and immunocompromised individuals. Currently, no vaccines are approved, and treatment options are limited. Here, we analyzed the human B cell response of four HCMV top neutralizers from a cohort of 9,000 individuals.
View Article and Find Full Text PDFBreast cancer, a leading cause of female mortality worldwide, poses a significant health challenge. Recent advancements in deep learning techniques have revolutionized breast cancer pathology by enabling accurate image classification. Various imaging methods, such as mammography, CT, MRI, ultrasound, and biopsies, aid in breast cancer detection.
View Article and Find Full Text PDFPurpose: To analyze anatomic and functional response to intravitreal brolucizumab in age-related macular degeneration recalcitrant to previous intravitreal anti-VEGF therapies.
Methods: In this monocentric, one arm, retrospective study, eyes affected by neovascular age-related macular degeneration (nAMD) resistant to other intravitreally injected anti-vascular endothelial growth factor inhibitors were switched to intravitreal brolucizumab. All patients underwent ophthalmological examinations at baseline and in regular follow-up intervals.