A5076144227- Retinal Imaging and Analysis
- Retinal Diseases and Treatments
- Glaucoma and retinal disorders
- Ophthalmology and Visual Impairment Studies
- Retinal and Optic Conditions
- Neuroinflammation and Neurodegeneration Mechanisms
- Inflammasome and immune disorders
- Neurological Disease Mechanisms and Treatments
- Trace Elements in Health
- Advanced Measurement and Detection Methods
- Glycosylation and Glycoproteins Research
- Parkinson's Disease Mechanisms and Treatments
- Diet and metabolism studies
- Metabolomics and Mass Spectrometry Studies
- Circular RNAs in diseases
- Complement system in diseases
- Pharmacological Effects of Natural Compounds
- Veterinary medicine and infectious diseases
- Gut microbiota and health
- Nuclear Receptors and Signaling
- Dementia and Cognitive Impairment Research
- Frailty in Older Adults
- Acupuncture Treatment Research Studies
- Infrared Target Detection Methodologies
- Text and Document Classification Technologies
University of Bonn
2019-2024
Florey Institute of Neuroscience and Mental Health
2022-2024
The University of Melbourne
2021-2024
Chinese Academy of Sciences
2022-2024
Jiangxi Agricultural University
2023-2024
Institute of Microbiology
2022-2024
University of Chinese Academy of Sciences
2022-2024
University Hospital Bonn
2020-2023
German Center for Neurodegenerative Diseases
2023
State Key Laboratory of Mycology
2022
Aim To develop a deep learning (DL) model that predicts age from fundus images (retinal age) and to investigate the association between retinal gap predicted by DL minus chronological mortality risk. Methods A total of 80 169 taken 46 969 participants in UK Biobank with reasonable quality were included this study. Of these, 19 200 11 052 without prior medical history at baseline examination used train validate for prediction using fivefold cross-validation. 35 913 remaining 917 had available...
Atherosclerosis (AS) is a chronic inflammatory disease of the vascular wall with multiple causes. AS primary pathological basis cardiovascular and stroke. Moreover, carotid plaque rupture thrombus formation are main causes ischemic Therefore, understanding plaques may help improve prediction prevention cerebrovascular events. Endothelial cell dysfunction results in re‑endothelialization angiogenesis atherosclerotic plaques, thus promoting destabilization. The aim present study was to...
retinal age derived from fundus images using deep learning has been verified as a novel biomarker of ageing. We aim to investigate the association between gap (retinal age-chronological age) and incident Parkinson's disease (PD).a (DL) model trained on 19,200 11,052 chronic disease-free participants was used predict age. Retinal generated by DL for remaining 35,834 free PD at baseline assessment. Cox proportional hazards regression models were utilised PD. Multivariable logistic applied...
Plasma metabolomic profile is disturbed in dementia patients, but previous studies have discordant conclusions.
Abstract Given the unprecedented phenomenon of population ageing, studies have increasing captured heterogeneity within ageing process. In this context, concept “biological age” has been introduced as an integrated measure reflecting individualized pace. Identifying reliable and robust biomarkers age is critical for accurate risk stratification individuals exploration into antiageing interventions. Numerous potential proposed, spanning from molecular changes imaging characteristics to...
Radiation-induced brain injury (RI) commonly occurs in patients who received head and neck radiotherapy. However, the mechanism of RI remains unclear. We aimed to evaluate whether pyroptosis was involved impact mesenchymal stem cells (MSCs) on it. BALB/c male mice (6-8 weeks) were cranially irradiated (15 Gy), MSCs transplanted into bilateral cortex 2 days later; then sacrificed 1 month later. Meanwhile, BV-2 microglia (10 Gy) cocultured with for 24 hours. observed that brains presented...
Retinal parameters could reflect systemic vascular changes. With the advances of deep learning technology, we have recently developed an algorithm to predict retinal age based on fundus images, which be a novel biomarker for aging and mortality. Therefore, aim investigate associations gap with arterial stiffness index incident cardiovascular disease (CVD).A model was trained 19 200 images 11 052 participants without any medical history at baseline age. (retinal predicted minus chronological...
Metabolic syndrome (MetS) is a clustering of cardiometabolic components, posing tremendous burdens in the aging society. Retinal age gap has been proposed as robust biomarker associated with mortality and Parkinson's disease. Although MetS chronic inflammation could accelerate process increase risk mortality, association retinal not examined yet.Retinal (retina-predicted minus chronological age) was calculated using deep learning model. defined presence three or more following: central...
The relationship between sensory impairments and the risk of dementia is inconclusive. We aim to investigate association visual impairment (VI), hearing (HI), dual (DSI) with incident dementia.
Amphion is an open-source toolkit for Audio, Music, and Speech Generation, designed to lower the entry barrier junior researchers engineers in these fields. It provides a versatile framework that supports variety of generation tasks models. In this report, we introduce v0.2, second major release developed 2024. This features 100K-hour multilingual dataset, robust data preparation pipeline, novel models such as text-to-speech, audio coding, voice conversion. Furthermore, report includes...
With the wide application of deep learning in field education, student emotion perception has become one research hotspots. The study recognizes learners’ facial expressions by face detection algorithm after collecting data and preprocessing. Algorithms such as convolutional neural network ConvLSTM are used to recognize emotions, emotions constructed be modeled. Evaluate learner performance this paper’s model compare it with other recognition models. paper is for practical collect students’...
Abstract Background Dual sensory impairment is affecting over 10% of older adults worldwide. However, the long-term effect dual (DSI) on risk mortality remains controversial. We aim to investigate impact single or/and in a large population-based sample adult UK with 14-years follow-up. Methods This prospective cohort study included participants aged 40 and complete records visual hearing functions from Biobank study. Measurements were performed at baseline examinations between 2006 2010,...
Abstract Parkinson's disease is one of the most common neurodegenerative diseases in elderly population, with a pathophysiology linked to neuroinflammation, complement activation, and oxidative damage. Soluble polysialic acid an average degree polymerization 20 (polySia avDP20) prevents inflammation burst human macrophages via sialic acid‐binding immunoglobulin like lectin‐11 (SIGLEC11) receptor interferes alternative activation. Here, we confirmed anti‐inflammatory capacity polySia avDP20...