AZoQuantum on MSN

Harnessing Quantum Machine Learning to Identify Cancer at its Earliest Stages

A team of researchers from the University of Chicago's Pritzker School of Molecular Engineering (UChicago PME) has used Quantum Machine Learning (QML) to identify cancer early.
European Medical Journal

Machine Learning Explains Global Cancer Survival Inequality

Find out how machine learning identifies country-specific health system drivers shaping global cancer survival and highlights ...

Computational method clarifies gene–drug links for precision cancer treatment

A paper published in Biology Methods and Protocols, indicates that a new computational method may help researchers identify ...

Deep-learning algorithms enhance mutation detection in cancer and RNA sequencing

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...
News-Medical.Net on MSN

Global analysis uses machine learning to map drivers of cancer outcomes

For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most important drivers of cancer survival in nearly all the countries in the world ...
Frontiers

Advancing Deep Learning Frameworks for Enhanced Cervical Cancer Diagnosis, Staging and Treatment

Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...
Frontiers

Evolving challenges and breakthroughs in deep learning-driven medical imaging

Deep learning and artificial intelligence are driving a transformative era in medical imaging, ushering in advanced tools for ...