The following represents disclosure information provided by authors of this manuscript. All relationships are considered compensated unless otherwise noted. Relationships are self-held unless noted. I ...
The following represents disclosure information provided by the author of this manuscript. All relationships are considered compensated unless otherwise noted. Relationships are self-held unless noted ...
Patients were stratified to cohort A (unspecified tumors) or cohort B (rare genomic alterations). The TARGET-CRM design permits cohort B patients to immediately enroll at one dose level below the ...
Machine Learning to Predict the Individual Risk of Treatment-Relevant Toxicity for Patients With Breast Cancer Undergoing Neoadjuvant Systemic Treatment We analyzed follow-up CT reports from patients ...
Should Our Patients Go to Disney World? Weighing the Risk of Infection Versus the Benefits of Social Interactions in Our Pediatric Oncology Patients Of the 1,888 patients with PDAC, 1,162 completed ...
Real-World and Clinical Trial Validation of a Deep Learning Radiomic Biomarker for PD-(L)1 Immune Checkpoint Inhibitor Response in Advanced Non–Small Cell Lung Cancer Artificial intelligence (AI) ...
LFSPROShiny: An Interactive R/Shiny App for Prediction and Visualization of Cancer Risks in Families With Deleterious Germline TP53 Mutations Among 187 patients identified (median follow-up, 22.4 ...
In response to these challenges, numerous organizations, institutions, and initiatives have emerged to address the quality of cancer care on a global scale. These initiatives aim to improve patient ...
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