News-Medical.Net

New approach accurately predicts lung cancer mutations

Scientists have developed a new method for accurately predicting gene changes that cause lung cancer, without the need for slower, more expensive lab techniques.

Novel technology could aid targeted lung cancer treatment

Scientists have developed a new method for accurately predicting gene changes that cause lung cancer, without the need for ...
News-Medical.Net

Machine learning framework enables low-cost water toxin detection

Portable screen-printed carbon electrode (SPCE) biosensors offer a rapid and low-cost way to detect microcystin-lysine-arginine (MC-LR), an extremely potent toxin produced by cyanobacteria during ...

Years After He Quit Smoking, a Lung Cancer Scan Saved His Life

Lung cancer remains the leading cause of cancer deaths in the United States and older adults are at higher risk. But only ...

Martha Lillard, last US polio patient using iron lung, dies at 78 in Oklahoma

Martha Lillard, the last U.S. polio patient using an iron lung, has died at 78 in Oklahoma. Her sister, Cindy McVey, ...
IEEE

Intelligent Cancer Detection System

Abstract: Histopathology and MRI produce different types of images and a single procedure to detect cancerous cells from both of them is considered tedious and time-consuming. Therefore, this study ...
The Lancet

Machine learning-enhanced gas sensor technology identifies ovarian and endometrial cancer of all stages through plasma volatile organic compound patterns

cDepartment of Obstetrics and Gynaecology, Skåne University Hospital (SUS), Lund University, Sweden dDepartment of Women's and Children's Health, Karolinska Institute, Department of Pelvic Cancer, ...
Frontiers

Automated predictive framework using AI and deep learning approaches for early detection and classification of liver cancer

Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...
ascopubs.org

Training, Validating, and Testing Machine Learning Prediction Models for Endometrial Cancer Recurrence

NOTE. These are the baseline variables determined at treatment completion and included in the analysis. Abbreviations: CIN, cervical intraepithelial neoplasia; COPD, chronic obstructive pulmonary ...
IEEE

Implementation and Performance Evaluation of Improved Hybrid Deep Learning Approach for Anomaly Detection and Classification in Lung CT Images

Abstract: The goal of this study is to create and test improved enhanced deep learning approaches for anomaly detection and classification in CT images, specifically lung cancer images. The Improved ...
GitHub

Lung Cancer Screening Radiomics

Status: Superseded — use qradiomics for all new work. This Docker-based MATLAB / Python end-to-end LIDC + LUNGx screening workflow with AutoML has been re-implemented under MIT in qradiomics as a ...
snmjournals.org

Deep Semisupervised Transfer Learning for Fully Automated Whole-Body Tumor Quantification and Prognosis of Cancer on PET/CT

Cancer is a worldwide health concern and the second leading cause of death in the United States, with approximately 2 million projected cases in 2023 (1). Prostate, breast, lung, melanoma, lymphoma, ...