This qualitative study examines global approaches to childhood cancer survivorship care to identify common goals and barriers to implementation.

A large study found that a LightGBM machine learning model accurately predicted survival and early death risk in patients ...

The following represents disclosure information provided by authors of this manuscript. All relationships are considered compensated. Relationships are self-held unless noted. I = Immediate Family ...

Tumor Site–Specific Radiation-Induced Lymphocyte Depletion Models After Fractionated Radiotherapy: Considerations of Model Structure From an Aggregate Data Meta-Analysis Based on the RECeUS method, ...

Breast cancer survivor and model Brooke Villone, diagnosed with aggressive Stage 3 triple-negative cancer, experienced a miraculous medical response, with her tumor disappearing after only five rounds ...

Independent CRO Successfully Reproduces ERNA-101 Combination Data in Larger Preclinical Study, Significantly Strengthening Confidence as Company ...