eLife

Molidustat Targets a Synthetic Lethal Vulnerability in APC-Mutant Colorectal Cancer through GSTP1 and PHD2 Co-Inhibition

This important paper substantially advances our understanding of how Molidustat may work, beyond its canonical role, by identifying its therapeutic targets in cancer. This study presents a compelling ...
IEEE

Explainable AI (XAI) and Machine Learning Based Alert System for Lung Cancer Detection in Healthcare 4.0

Abstract: In the world more then 10% people are suffering from lung cancer, due to this there is a need for frameworks that can detects the lung cancer at preliminary stage. However, most of the ...
Journal of Medical Internet Research

Accuracy of Radiomics-Based Machine Learning for Predicting Risk of Recurrence in Non–Small Cell Lung Cancer: Systematic Review and Meta-Analysis

Background: During the diagnosis and treatment of non–small cell lung cancer (NSCLC), detecting the risk of its recurrence in an early phase is still challenging. Recent studies have investigated the ...
IEEE

Existing statistical measures and techniques using Artificial Intelligence and Machine Learning in diagnosis and prognosis of lung cancer using multi-modal medical images: A ...

Abstract: Lung cancer creates a tremendous source of cancer deaths around the world, calling attention to the requirements of accurate, automated interpretation of ...
Frontiers

Natural compounds for non-small cell lung cancer treatment: focus on the EGFR signaling pathway

The EGFR signaling pathway is a critical driver in the occurrence and development of non-small cell lung cancer (NSCLC). However, the inevitable development of acquired resistance to EGFR tyrosine ...