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Perfusion Capacity as a Predictive Index for Assessing Visual Functional Recovery in Patients With Idiopathic Epiretinal Membrane.
Transl Vis Sci Technol
January 2025
State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
Purpose: This study investigates the association between visual function and retinal vasculature metrics, particularly perfusion capacity (PC), in eyes with idiopathic epiretinal membrane (iERM), using optical coherence tomography angiography (OCTA).
Methods: This retrospective study includes 30 eyes from 30 iERM patients who had surgery, with a three-month follow-up period. In addition, 28 eyes from 28 healthy individuals served as a control group.
Novel technique and outcomes of umbilical reconstruction during cytoreductive surgery; a multi-centre study.
Tech Coloproctol
January 2025
Peritonectomy and Liver Cancer Unit, Department of Surgery, St George Hospital, Kogarah, NSW, Australia.
Background: The goal of cytoreductive surgery for peritoneal malignancy is to remove all macroscopic disease, which occasionally requires the excision of the umbilicus. While the absence of the umbilicus can be aesthetically undesirable for patients, umbilical reconstruction is rarely performed due to the perceived complexity and increased risk of wound infections (Sakata et al. in Colorectal Dis 23:1153-1157, 2021).
View Article and Find Full Text PDFDeep learning and generative artificial intelligence in aging research and healthy longevity medicine.
Aging (Albany NY)
January 2025
Duke University, Durham, NC 27708, USA.
With the global population aging at an unprecedented rate, there is a need to extend healthy productive life span. This review examines how Deep Learning (DL) and Generative Artificial Intelligence (GenAI) are used in biomarker discovery, deep aging clock development, geroprotector identification and generation of dual-purpose therapeutics targeting aging and disease. The paper explores the emergence of multimodal, multitasking research systems highlighting promising future directions for GenAI in human and animal aging research, as well as clinical application in healthy longevity medicine.
View Article and Find Full Text PDFAutomated Deep Learning-Based Detection and Segmentation of Lung Tumors at CT.
Radiology
January 2025
Stanford University School of Medicine, Department of Radiation Oncology, Stanford, CA, US.
Background Detection and segmentation of lung tumors on CT scans are critical for monitoring cancer progression, evaluating treatment responses, and planning radiation therapy; however, manual delineation is labor-intensive and subject to physician variability. Purpose To develop and evaluate an ensemble deep learning model for automating identification and segmentation of lung tumors on CT scans. Materials and Methods A retrospective study was conducted between July 2019 and November 2024 using a large dataset of CT simulation scans and clinical lung tumor segmentations from radiotherapy plans.
View Article and Find Full Text PDFiTRAQ proteomic analysis of the anterior insula in morphine-induced conditioned place preference rats with high-frequency deep brain stimulation intervention.
Addict Biol
January 2025
Department of Neurosurgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Morphine dependence or addiction is a serious global public health and social problem, and traditional treatments are very limited. Deep brain stimulation (DBS) has emerged as a new potential treatment for drug addiction. Repeated use of morphine leads to neuroadaptive and molecular changes in the addiction-related brain regions.
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