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 ...

AI could help predict your risk of breast cancer in the next four years

An artificial intelligence (AI) algorithm used to detect breast cancer in screening scans has been adapted into a risk score ...

Distinct tumor-immune ecologies can help predict immunotherapy response in lung cancer

Researchers at Moffitt Cancer Center have identified distinct spatial tumor–immune ecosystems that predict whether patients with advanced non–small-cell lung cancer will benefit from immunotherapy.
IEEE

Crispvision: Apple Leaf Disease Detection Using Machine Learning and Deeper CNN

Abstract: Identifying diseases in apple leaves plays a vital role in boosting farm productivity and preventing crop losses. This research introduces a comprehensive approach for classifying images of ...
IEEE

A Unified Framework for Community Detection Using Quasi-Attention on Attributed Heterogeneous Graphs

Community detection on complex networks utilizes topological properties to identify communities and has been an active research area over the last two decades. Many techniques have evolved to ...
Science Daily

MIT scientists strip cancer of its sugar shield

Scientists at MIT and Stanford have unveiled a promising new way to help the immune system recognize and attack cancer cells more effectively. Their strategy targets a hidden “off switch” that tumors ...
IEEE

LiteFat: Lightweight Spatio-Temporal Graph Learning for Real-Time Driver Fatigue Detection

Detecting driver fatigue is critical for road safety, as drowsy driving remains a leading cause of traffic accidents. Many existing solutions rely on computationally demanding deep learning models, ...
IEEE

Spatio-Temporal Deep Neural Modelling for Climate Anomaly Detection using CNN-LSTM Networks

Abstract: When it comes to studying environmental problems, it is growing increasingly vital to discover climatic anomalies and measure temperature changes, particularly in areas like Ethiopia, where ...
IEEE

A Deep Learning Framework for Breast Cancer Detection from RF Microwave Data

Abstract: Breast Microwave Imaging (BMI) has emerged as a promising alternative to traditional breast cancer screening methods due to its non-ionizing nature and cost-effectiveness. This work proposes ...
IEEE

Early Lung Cancer Detection Using a Hybrid Model

Abstract: This paper addresses the global health concern of early detection for increased treatment effectiveness, this research proposes a novel automated technique for lung cancer detection that ...
IEEE

CNN vs. Transformer-Based Models for Deepfake Detection: A Comparative Analysis

Abstract: As deepfake technology has rapidly progressed, it has become a concern for media authenticity, cybersecurity, and digital forensics. In this work, we compare and contrast CNNs and ...