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Deep Equilibrium Unfolding Learning for Noise Estimation and Removal in Optical Molecular Imaging.
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CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China; National Key Laboratory of Kidney Diseases, Beijing 100853, China. Electronic address:
In clinical optical molecular imaging, the need for real-time high frame rates and low excitation doses to ensure patient safety inherently increases susceptibility to detection noise. Faced with the challenge of image degradation caused by severe noise, image denoising is essential for mitigating the trade-off between acquisition cost and image quality. However, prevailing deep learning methods exhibit uncontrollable and suboptimal performance with limited interpretability, primarily due to neglecting underlying physical model and frequency information.
View Article and Find Full Text PDFSensitive and Deep Coverage Phosphoproteome Detection Method Reveals Spleen as a More Sensitive Organ than Liver in Early Detection of Liver Fibrosis-Related Signaling Protein Dysregulation.
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Research Unit of Environmental Toxicology, School of Public Health, China Medical University, Shenyang 110122, China.
Although cathepsin S is transported from the spleen to the liver, where it cleaves collagen XVIII to produce endostatin and plays a critical role in the onset of early liver fibrosis, the relationship between liver fibrosis and spleen function remains underexplored. Given the roles of phosphorylation in disease, understanding its regulatory mechanism in early liver fibrosis is crucial. Despite advances in mass spectrometry enhancing phosphoproteomics, its application is limited by small clinical samples and subtle protein changes.
View Article and Find Full Text PDFArtificial Intelligence-Powered Human Epidermal Growth Factor Receptor 2 and Tumor Microenvironment Analysis in Human Epidermal Growth Factor Receptor 2-Amplified Metastatic Colorectal Cancer: Exploratory Analysis of Phase II TRIUMPH Trial.
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Translational Research Support Office, National Cancer Center Hospital East, Chiba, Japan.
Purpose: Human epidermal growth factor receptor 2 (HER2)-targeted therapies have shown promise in treating -amplified metastatic colorectal cancer (mCRC). Identifying optimal biomarkers for treatment decisions remains challenging. This study explores the potential of artificial intelligence (AI) in predicting treatment responses to trastuzumab plus pertuzumab (TP) in patients with -amplified mCRC from the phase II TRIUMPH trial.
View Article and Find Full Text PDFRuntime Analysis of Typical Decomposition Approaches in MOEA/D for Many-Objective Optimization Problems.
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College of Science, Northwest A&F University, Yangling 712100, China
Decomposition-based multi-objective evolutionary algorithms (MOEAs) are popular methods utilized to address many-objective optimization problems (MaOPs). These algorithms decompose the original MaOP into several scalar optimization subproblems, and solve them to obtain a set of solutions to approximate the Pareto front (PF). The decomposition approach is an important component in them.
View Article and Find Full Text PDFEmbedding Universal Language Promotion in Pediatric Primary Care to Optimize Early Child Development and Reduce Long-Term Health Disparities.
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Juniper Gardens Children's Project, University of Kansas, Lawrence, KS; and.
Objective: To report on the feasibility and outcomes of universal language promotion intervention (Talk With Me Baby [TWMB]) embedded within routine well-child care for children from birth to 3-years old.
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