GCLink: A Graph Contrastive Link Prediction Framework for Gene Regulatory Network Inference

Information Science, Computer Science, Artificial Intelligence, Life Sciences, Bioengineering, Genetics,
Gene Regulatory Networks   Single-cell RNA Sequencing   Graph Contrastive Learning   Link Prediction   Machine Learning  

Research Background Gene Regulatory Networks (GRNs) are crucial tools for understanding the complex biological processes within cells. They reveal the interactions between Transcription Factors (TFs) and target genes, thereby controlling gene transcription and regulating cellular behavior. With the advancement of single-cell RNA sequencing (scRNA-s...

Machine Learning and Confirmatory Factor Analysis Show that Buprenorphine Alters Motor and Anxiety-like Behaviors in Male, Female, and Obese C57BL/6J Mice

Chemistry, Medicinal Chemistry, Medicine, Psychiatry, Neurology, Life Sciences, Biochemistry,
Buprenorphine   Machine Learning   Confirmatory Factor Analysis   Motor Behavior   Anxiety-like Behavior   C57BL/6J Mice   Obesity  

In recent years, with the global increase in drug abuse, particularly opioids, scientists have become increasingly focused on the neurobehavioral effects of such substances. Among them, buprenorphine, an opioid, is widely used for medication-assisted treatment of opioid addiction. However, beyond its analgesic and addiction treatment effects, bupre...

The Utility of GPT-4 in Chest Radiograph Evaluation

Information Science, Artificial Intelligence, Medicine, Medical Imaging,
Artificial Intelligence   Radiology   Data Analysis   Machine Learning   Chest Radiographs  

The Potential of GPT-4 in Chest Radiograph Evaluation: A Retrospective Study Academic Background In recent years, artificial intelligence (AI) has been increasingly applied in the medical field, particularly in radiology. The introduction of AI tools is transforming clinical practice, especially in imaging diagnostics. However, the widespread adopt...

Regulatory T Cells-Related Gene in Primary Sclerosing Cholangitis: Evidence from Mendelian Randomization and Transcriptome Data

Medicine, Hepatobiliary System, Medical Laboratory Science, Gastroenterology, Life Sciences, Immunology, Genetics,
Primary Sclerosing Cholangitis   Regulatory T Cells   Mendelian Randomization   Transcriptome Data   Machine Learning   Immune Cell Infiltration   Molecular Pathways  

Regulatory T Cells-Related Gene in Primary Sclerosing Cholangitis: Evidence from Mendelian Randomization and Transcriptome Data Authors: Jianlan Hu1, Youxing Wu1, Danxia Zhang1, Xiaoyang Wang1, Yaohui Sheng1, Hui Liao1, Yangpeng Ou2✉, Zhen Chen3, Baolian Shu1✉, and Ruohu Gui1✉ Journal: Genes & Immunity (2024) 25:492–513 DOI: https://doi.org/10.1038...

Rapid 3D Imaging at Cellular Resolution for Digital Cytopathology with a Multi-Camera Array Scanner (MCAS)

Rapid 3D Imaging at Cellular Resolution for Digital Cytopathology with a Multi-Camera Array Scanner (MCAS)

Information Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Medical Imaging,
Digital Cytopathology   Multi-Camera Array Scanner   3D Imaging   Cellular Resolution   Machine Learning  

Rapid 3D Imaging at Cellular Resolution for Digital Cytopathology with a Multi-Camera Array Scanner (MCAS) Academic Background Optical microscopy has long been the standard method for diagnosis in cytopathology. However, traditional whole-slide scanners, while capable of automatically imaging and digitizing large sample areas, are slow and expensiv...

Mapping Multimorbidity Progression

Medicine, Medical Laboratory Science, Geriatrics, Endocrinology,
Multimorbidity   Chronic Diseases   Clustering Analysis   Causal Relationships   Machine Learning  

Mapping Multimorbidity Progression Among 190 Diseases Background Globally, with the aging population and the significant increase in the negative impacts of chronic diseases, multimorbidity, the coexistence of multiple long-term conditions, has become an increasingly severe health challenge. Understanding the accumulation process of multimorbidity ...

Multimodal Disentangled Variational Autoencoder with Game Theoretic Interpretability for Glioma Grading

Information Science, Computer Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging,
Multimodal MRI   Glioma Grading   Variational Autoencoder   Image Fusion   Explainable AI   Radiomics   Machine Learning  

Application of Multi-modal Disentangled Variational Autoencoder and Game Theory Interpretability in Glioma Grading Background Gliomas are the most common primary brain tumors in the central nervous system. According to cellular activity and invasiveness, the World Health Organization (WHO) classifies them into grades I to IV, with grades I and II r...