AI blood test detects early pancreatic cancer with up to 94% accuracy

A team of researchers from Taiwan has developed PanMETAI, an AI-powered platform that analyzes metabolic fingerprints in a ...
News-Medical.Net

New fragmentome technology can detect early liver fibrosis and cirrhosis

Researchers at the Johns Hopkins Kimmel Cancer Center report that an artificial intelligence (AI)-based liquid biopsy test using genome-wide cell-free DNA (cfDNA) fragmentation patterns and repeat ...
IEEE

Detection of Powdery Mildew in Cherry Plant Leaves using Machine Learning and CNN

Abstract: Timed observation and accurate detection of plant diseases is vital for minimizing the damage to the crops and securing food for the long term, but particularly with cherry powdery mildew ...
IEEE

An Intrusion Detection System For Internet of Medical Things Using Machine Learning Approaches

Abstract: The Internet of Medical Things (IoMT) is transforming healthcare by increasing accuracy, reliability, and scalability through smart, connected medical devices that enable real-time ...
IEEE

Few-Shot Class-Incremental Learning with Dynamic Prototype Refinement for Brain Activity Classification

Abstract: The brain-computer interface (BCI) system facilitates efficient communication and control, with Electroencephalography (EEG) signals as a vital component. Traditional EEG signal ...
IEEE

Enhancing Elderly Safety: A Wearable Fall Detection System with IoT and Machine Learning

Abstract: Falls represent a significant health concern, especially among the elderly and individuals with mobility impairments, often resulting in severe injuries or fatalities. Current fall detection ...
IEEE

Heart Disease Classification Using Machine Learning Techniques with Patient Health Records

Abstract: Coronary artery disease continues to lead the world in the statistics of both disability and death in everyday life, which puts an enormous emphasis on a necessitated sequence of procedures ...
IEEE

AE-CNN Ensemble: A Novel Architecture for Effective Network Intrusion Detection and Classification

Abstract: The escalating scale and sophistication of cyberattacks pose a formidable challenge to conventional intrusion detection systems (IDS) because they lack the flexibility to adapt to evolving ...
IEEE

A Novel Deep Learning-Based Approach for Brain Tumor Segmentation and Classification Using Diffusion-Weighted Imaging and Magnetic Resonance Spectroscopy

Abstract: Brain tumours (BT) are a dangerous condition that gets a lot of attention. They can be fatal. However, for effective treatment and life-saving measures, early detection and tumour type and ...
IEEE

Supervised Machine Learning for Brain Tumor Progression Prediction on Limited and Imbalanced Data: An Exploratory Study

Abstract: Accurately predicting glioma progression remains a significant clinical challenge due to the disease's heterogeneity, unpredictable progression patterns, and the limitations of imaging-based ...