Radiomics and Deep Learning Prediction of Immunotherapy-Induced Pneumonitis From Computed Tomography
Primary barriers to application of immune checkpoint inhibitor (ICI) therapy for cancer include severe side effects (such as potentially life threatening pneumonitis [PN]), which can cause the ...
NOTE. These are the baseline variables determined at treatment completion and included in the analysis. Abbreviations: CIN, cervical intraepithelial neoplasia; COPD, chronic obstructive pulmonary ...
OAK BROOK, Ill. – An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive ...
Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more personalized vaccines, including vaccines for cancer. They described the tool in ...
In pancreatic cancer, knowing if there is metastasis is key to deciding whether to operate or not. Nowadays, a significant number of patients undergo unnecessary invasive surgeries because their ...
Nomograms have a strong reputation as reliable predictive models that simplify statistical prediction models and guide personalized treatment to formulate preventive measures for various diseases.
University of Missouri researchers have released the world's largest collection of protein models with quality assessment—a ...
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