OXFORD, England & TORONTO--(BUSINESS WIRE)--Oxford Cancer Analytics (OXcan), the medtech company developing blood tests for early cancer detection using advanced proteomics and AI, today announced it ...

Baseline LDH as a prognostic biomarker of early treatment failure in lung cancer. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not include a full text ...

A new study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients with ...

Bayesian network models predict urgent care visits in patients with non–small cell lung cancer receiving systemic therapy. The first model (left) integrates clinical and patient-reported outcome data, ...

Low-dose computed tomography (LDCT) screening is effective in reducing lung cancer mortality by detecting the disease at earlier, more treatable stages. However, high false-positive rates and the ...

Cancer diagnoses traditionally require invasive or labor-intensive procedures such as tissue biopsies. Researchers at the Ludwig-Maximilians-Universität München (LMU) have now reported on a method ...

A Chinese research team has developed the world's first blood-based diagnostic kit that can tell whether lung nodules are benign or cancerous, including very small nodules that are often difficult to ...

Please provide your email address to receive an email when new articles are posted on . Machine learning models can predict which patients receiving lung cancer therapy may need urgent care visits.