BioMark Diagnostics Announces Publication of Peer-Reviewed Validation of Machine Learning Models for Lung Cancer Detection in Frontiers in Oncology

Advancing Superior Accuracy in Early Lung Cancer Detection Using Selective Metabolic Pathways and Data Enrichment for ...

AI model identifies how every country can improve its cancer outcomes

For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...
Science Daily

AI maps the hidden forces shaping cancer survival worldwide

Researchers have turned artificial intelligence into a powerful new lens for understanding why cancer survival rates differ ...
European Medical Journal

Machine Learning Supports Radiology Lung Cancer Screening

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
Technology Networks

Brain Cancer Digital Twin Predicts Whether a Treatment Is Likely To Slow Tumor Growth

Researchers at the University of Michigan developed a machine learning–based digital twin to map real-time tumor metabolism ...

Brain cancer digital twin predicts treatment outcomes by mapping tumor metabolism

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...
News-Medical.Net on MSN

Digital twin technology guides personalized treatment for brain cancer patients

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...

BioMark Diagnostics, Inc.: BioMark Diagnostics Announces Publication of Peer-Reviewed Validation of Machine Learning Models for Lung Cancer Detection in Frontiers in Oncology

BioMark Diagnostics Inc. (CSE: BUX) (FSE: 20B) (OTCQB: BMKDF) ("BioMark"), a leading developer of liquid biopsy technologies for early ...