Development and Validation of an Ipsilateral Breast Tumor Recurrence Risk Estimation Tool Incorporating Real-World Data and Evidence From Meta-Analyses: A Retrospective Multicenter Cohort Study Data ...
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 ...
Lung cancer remains the leading cause of cancer-related deaths worldwide, accounting for nearly one in five cancer deaths—around 1.8 million lives lost each year. One of the main reasons is late ...
Survival outcomes in non-small cell lung cancer: Real-world analysis of immunotherapy era vs pre-immunotherapy era, with insights into treatment settings, racial disparities, and socioeconomic impacts ...
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.
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 ...
New cfDNA test enables multicancer detection with high accuracy, offering a cost effective approach for early diagnosis and ...
COPENHAGEN, Denmark — Screening individuals for lung cancer with low-dose CT without preselection based on their risk profile is associated with a substantial reduction in lung cancer-specific ...
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