A5102981467- Liver Disease and Transplantation
- Transplantation: Methods and Outcomes
- Spectroscopy and Chemometric Analyses
- Advanced Chemical Sensor Technologies
- Radiomics and Machine Learning in Medical Imaging
- Alzheimer's disease research and treatments
- Cardiac Ischemia and Reperfusion
- Gastric Cancer Management and Outcomes
- Gaze Tracking and Assistive Technology
- Colorectal Cancer Screening and Detection
- Mycotoxins in Agriculture and Food
- Teleoperation and Haptic Systems
- Neurological Complications and Syndromes
- Meat and Animal Product Quality
- Fermentation and Sensory Analysis
- Hepatitis C virus research
- Endoplasmic Reticulum Stress and Disease
- Organ Transplantation Techniques and Outcomes
- Prion Diseases and Protein Misfolding
Minhang District Central Hospital
2023
Fudan University
2023
China Guangzhou Analysis and Testing Center
2021
Nanjing Agricultural University
2019
The Ohio State University Wexner Medical Center
2014
The Ohio State University
2014
General Hospital of Guangzhou Military Command
2005
Discovery Institute
2005
Sanford Burnham Prebys Medical Discovery Institute
2005
Alzheimer's disease is cytopathologically characterized by loss of synapses and neurons, neuritic amyloid plaques consisting β-amyloid (Aβ) peptides, neurofibrillary tangles hyperphosphorylated tau protein in susceptible brain regions. Aβ, which triggers a cascade pathogenic events including phosphorylation neuronal excitotoxicity, proteolytically derived from precursor (APP); the pathological physiological functions APP, however, remain undefined. Here we demonstrate that level cells brains...
We present LLaVA-OneVision, a family of open large multimodal models (LMMs) developed by consolidating our insights into data, models, and visual representations in the LLaVA-NeXT blog series. Our experimental results demonstrate that LLaVA-OneVision is first single model can simultaneously push performance boundaries LMMs three important computer vision scenarios: single-image, multi-image, video scenarios. Importantly, design allows strong transfer learning across different...
The potential of visible-near infrared (vis/NIR) spectroscopy (400 nm to 1100 nm) for classification grape berries on the basis multi inner quality parameters was investigated. Stored Vitis vinifera L. cv. Manicure Finger and Ugni Blanc were separated into three classes based distribution total soluble solid content (SSC) phenolic compounds (TP). Partial least squares regression (PLS) applied predict parameters, including color space CIELAB, SSC, TP. prediction results showed that vis/NIR...
Abstract Quality controlling for capsule endoscopic images can be completed with the assistance of artificial intelligence, but labeling process is time‐consuming. Domain adaption a robust tool cross‐domain learning to reach consistent target. Current research aims study feasibility and effectiveness domain from ordinary in quality controlling. Dynamic adversarial adaptation network (DAAN) was trained identify low‐quality using corresponding labels (source supervision) without (target so...
Introduction: Patients with end-stage liver disease (ESLD) have a prevalence of coronary artery (CAD) that exceeds the general population, and is as high 30% in some studies. Moreover, patients CAD undergoing orthotopic transplantation (OLT) experience worse short long-term outcomes compared to those without CAD. Non-invasive stress testing has limited sensitivity ESLD. Accordingly, screening strategies for OLT candidates vary within between institutions. Methods: We convened an...
Introduction: Cardiac events following orthotopic liver transplant (OLT) represent a major cause of morbidity and mortality in the post-transplant setting. Pre-transplant cardiac evaluation is essential to risk-stratify patients improve outcomes after transplant. In our center, were referred for coronary angiography if they had positive stress test or at discretion their physician. Aims: To determine pre-transplant characteristics associated with events. whether receiving prior Methods: We...