A Comparison of Random Forest Variable Selection Methods for Regression Modeling of Continuous Outcomes

Information Science, Computer Science, Artificial Intelligence,
Random Forest   Variable Selection   Feature Selection   Regression Modeling   Machine Learning  

Background: The Importance of Variable Selection in Machine Learning Regression Models In recent years, the widespread application of machine learning in the fields of bioinformatics and data science has greatly driven the development of predictive modeling. Random forest (RF) regression, as a commonly used ensemble learning algorithm, has become a...

Artificial Intelligence in Chemical Exchange Saturation Transfer Magnetic Resonance Imaging

Information Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging, Oncology,
Artificial Intelligence   Chemical Exchange Saturation Transfer   Magnetic Resonance Imaging   Machine Learning   Medical Image Processing  

Academic Background Chemical Exchange Saturation Transfer (CEST) Magnetic Resonance Imaging (MRI) is an advanced non-invasive imaging technique that provides detailed molecular information about living tissues. CEST MRI works by selectively saturating exchangeable protons of specific metabolites and transferring this saturation to water molecules, ...

A Systematic Survey of Hybrid ML Techniques for Predicting Peak Particle Velocity (PPV) in Open-Cast Mine Blasting Operations

Engineering, Mining and Metallurgical Engineering, Environmental Engineering, Information Science, Computer Science, Artificial Intelligence,
Peak Particle Velocity   Machine Learning   Ground Vibration   Air Over Pressure   Flyrock  

Blasting operations in open-cast mines are crucial for mineral extraction but also come with significant environmental and structural risks. The peak particle velocity (PPV) generated during blasting is a key metric for assessing the impact of blasting vibrations on surrounding structures and the environment. Accurate PPV prediction is essential fo...

A Comprehensive Review of Machine Learning Applications for Internet of Nano Things: Challenges and Future Directions

Chemistry, Nanoscience, Engineering, Electrical Engineering, Information Science, Computer Science, Artificial Intelligence,
Machine Learning   Internet of Nano Things   Data Security   Anomaly Detection   Nanoscale Communication  

Academic Background In recent years, the rapid development of nanotechnology and the Internet of Things (IoT) has given rise to a revolutionary field—the Internet of Nano Things (IoNT). The IoNT connects nanoscale devices to the internet, enabling them to play significant roles in areas such as agriculture, military, multimedia, and healthcare. How...

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 ...