Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 641 to 650 of 159,571 articles
Diagnostic technologies for neuroblastoma.
Lab on a chip
Jul 14, 2025
Neuroblastoma is an aggressive childhood cancer characterised by high relapse rates and heterogenicity. Current medical diagnostic methods involve an array of techniques, from blood tests to tumour biopsies. This process is associated with long-term ...
HARISS: Histogram Analyzer for Reference Intervals of Small Samples, a Free Web App to Calculate Reference Intervals of Small Samples.
Veterinary clinical pathology
Jul 14, 2025
BACKGROUND: Reference interval (RI) estimate inaccuracy is problematic at small sample sizes. Visual assessment of distribution histograms (VADH) may improve statistical technique selection, but its performance depends on the human operator.
Towards Applying Large Language Models to Complement Single-Cell Foundation Models
arXiv
Jul 14, 2025
Single-cell foundation models such as scGPT represent a significant
advancement in single-cell omics, with an ability to achieve state-of-the-art
performance on various downstream biological tasks. However, these models are
inherently limited in th...
A Novel Machine Learning Model for Predicting Natural Conception Using Non-Laboratory-Based Data.
Reproductive sciences (Thousand Oaks, Calif.)
Jul 14, 2025
This study aimed to predict the likelihood of natural conception among couples by using a machine learning (ML) approach based on sociodemographic and sexual health data. This marks a novel, non-invasive methodology for fertility prediction. This pro...
Mapping the Landscape of Spiritual Intelligence: A Bibliometric Analysis of Trends, Patterns and Future Directions.
Journal of religion and health
Jul 14, 2025
This study provides an in-depth bibliometric analysis of research on spiritual intelligence (SI) using the Scopus database and VOSviewer software. The objective is to identify key trends, leading publications, and emerging themes in the field. Employ...
Efficient Task Grouping Through Sample-wise Optimisation Landscape Analysis.
IEEE transactions on pattern analysis and machine intelligence
Jul 14, 2025
Shared training approaches, such as multi-task learning (MTL) and gradient-based meta-learning, are widely used in various machine learning applications, but they often suffer from negative transfer, leading to performance degradation in specific tas...
Identification of a 10-species microbial signature of inflammatory bowel disease by machine learning and external validation.
Cell regeneration (London, England)
Jul 14, 2025
Genetic and microbial factors influence inflammatory bowel disease (IBD), prompting our study on non-invasive biomarkers for enhanced diagnostic precision. Using the XGBoost algorithm and variable analysis and the published metadata, we developed the...
Machine Learning-Assisted Iterative Screening for Efficient Detection of Drug Discovery Starting Points.
Journal of medicinal chemistry
Jul 14, 2025
High-throughput screening (HTS) remains central to small molecule lead discovery, but increasing assay complexity challenges the screening of large compound libraries. While retrospective studies have assessed active-learning-guided screening, extens...
Generative AI enables medical image segmentation in ultra low-data regimes.
Nature communications
Jul 14, 2025
Semantic segmentation of medical images is pivotal in applications like disease diagnosis and treatment planning. While deep learning automates this task effectively, it struggles in ultra low-data regimes for the scarcity of annotated segmentation m...
A Lightweight ML-Based ECG Classification System using Self-Personalized Anomaly Detector.
IEEE journal of biomedical and health informatics
Jul 14, 2025
Targeting the real-time arrhythmia diagnosis on resource-limited edge devices, in this paper, we present a lightweight electrocardiogram classification system using event-driven machine learning processing. A self-personalized anomaly detector based ...
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