Precision medicine

Machine learning

Breakthrough in Personalized Medicine: Exactech Inc.'s Computed Tomography Image-Based Tool for Segmentation and Quantification of Shoulder Muscles

Researchers at Exactech Inc. have made a significant breakthrough in personalized medicine by developing a computed tomography (CT)-based tool for automated segmentation of deltoid muscles, enabling quantification of radiomic features and muscle fatty infiltration. The tool, which utilizes a machine learning (ML)-based segmentation algorithm, has undergone rigorous validation

Machine learning

Breakthrough in Personalized Medicine: Radiomics-Based Model Demonstrates Superior Predictive Performance

Investigators from the Aerospace Center Hospital have published a groundbreaking study on the application of radiomics and clinical data in predicting the pathological grade of appendiceal pseudomyxoma peritonei (PMP). The research team aimed to develop an interpretable machine learning model integrating delayed-phase contrast-enhanced CT radiomics with clinical features for noninvasive

Machine learning

Artificial Intelligence Transforms Smart Healthcare with Enhanced Diagnostic Precision and Personalized Treatment Strategies

Research from Sungkyunkwan University in Suwon, South Korea, has shed light on the transformative potential of Artificial Intelligence (AI) in healthcare. According to the study, AI is transforming smart healthcare by enabling diagnostic precision, automating clinical workflows, and facilitating personalized treatment strategies. The researchers explored the current landscape of AI

Machine learning

Personalized Medicine Study Finds Machine Learning-Based Approach to Statin Therapy Outperforms Traditional High-Risk Method

Current study results on drugs and therapies - personalized medicine have been published, highlighting the potential of machine learning to personalize treatment and improve population health outcomes. Researchers from the Graduate School of Public Health utilized the Shizuoka Kokuho Database to investigate heterogeneity in statin treatment effects, employing a 1:

Machine learning

Artificial Intelligence and Machine Learning Revolutionize Personalized Medicine

Quantitative Systems Pharmacology (QSP) has emerged as a cornerstone of modern drug development, providing a robust framework to integrate data from preclinical and clinical studies and enhance decision-making. Recent advancements in artificial intelligence (AI) and machine learning (ML) are transforming QSP by enabling enhanced data extraction, hybrid mechanistic ML models,

Machine learning

Personalized Azithromycin Treatment Rules for Children With Watery Diarrhea

Researchers at Emory University have developed a machine learning-based procedure to identify innovative strategies to target azithromycin treatment to children with watery diarrhea who are most likely to benefit. This approach estimates the child-level expected benefit for a given set of covariates by combining predictions from a library of statistical

Machine learning

Personalized Medicine Breakthrough in Soft Tissue Sarcomas

Researchers from the First Hospital of Jilin University, Changchun, People's Republic of China, have made a significant breakthrough in the field of personalized medicine by identifying G protein-coupled receptor-related signatures (GPRSs) for diagnosis and prognosis prediction in soft tissue sarcomas (STSs). The study, published in Frontiers in Immunology,

Machine learning

Personalized Medicine Advances with Multi-Omics and Artificial Intelligence

Researchers at the University Health Network in Toronto, Canada, have made significant progress in the field of personalized medicine by integrating multi-omics with artificial intelligence in hepatology. The study, published in the Journal of Clinical and Experimental Hepatology, highlights the potential of emerging approaches such as federated learning to advance

Machine learning

Artificial Intelligence in Thyroid Eye Disease Imaging: A Systematic Review

Researchers from Shanghai Jiao Tong University School of Medicine have conducted a systematic review of artificial intelligence (AI) applications in thyroid eye disease (TED) imaging. The study aimed to characterize the research landscape, key challenges, and future directions of AI in TED diagnosis and treatment. The researchers analyzed 41 studies

Machine learning

Personalized Medicine Breakthrough: Machine Learning for Early Parkinson's Disease Detection

Researchers from Karunya Institute of Technology and Sciences in Coimbatore, India, have developed a machine learning approach to detect Parkinson's disease early. The study used data-driven methodologies to analyze various types of data, including clinical assessments, imaging scans, and genetic markers, to develop accurate predictive models. These models

Machine learning

Artificial Intelligence Revolutionizes Orthopedic Oncology

Research published in Diagnostics has shed light on the transformative power of artificial intelligence (AI) in orthopedic oncology. According to the study, AI has emerged as a game-changer in the diagnosis, classification, and prediction of treatment response for primary malignant bone tumors (PBT). By leveraging machine learning and deep learning

Machine learning

Integrated Multi-Omics and Machine Learning Reveal Immunogenic Cell Death-Related Signature for Colorectal Cancer Prognosis and Therapy

Researchers at Suzhou University of Science and Technology have made significant strides in understanding and combating colorectal cancer (CRC) through the discovery of an immunogenic cell death-related signature. By employing an integrated multi-omics and machine learning approach, the team identified 11 genes with prognostic significance in CRC, which were used