The researchers trained a machine-learning algorithm to predict brain metastasis using 118 lung biopsy samples from early-stage non-small cell lung cancer patients. Some of the patients developed ...

Scientists trained a machine-learning algorithm to predict accurately brain metastasis using biopsy samples from early-stage non-small cell lung cancer patients. It was also highly accurate in ...

More information: Wookjin Choi et al, Novel Functional Radiomics for Prediction of Cardiac Positron Emission Tomography Avidity in Lung Cancer Radiotherapy, JCO Clinical Cancer Informatics (2024 ...

Novel machine learning algorithm to predict response to immunotherapy in patients with small cell and non-small cell lung cancer. Sunyoung Choi , Vaishnavi Balaji , Adwait Joshi , Iosif Mporas , Jiaqi ...

Single-drug ICI therapy (immuno-oncology [IO] monotherapy) that targets PD-L1 is the standard of care in patients with advanced non–small cell lung cancer (NSCLC) with PD-L1 expression ≥50%. We sought ...

Now, McDonald's team and the Ovarian Cancer Institute are using ensemble-based machine learning algorithms to predict how patients will respond to cancer-fighting drugs with high accuracy rates.

Machine learning models to identify the simplest way to screen for lung cancer have been developed by researchers from UCL and the University of Cambridge, bringing personalized screening one step ...