Oncologists in 2023 are experiencing higher rates of burnout compared with a decade ago. System-based interventions to reduce burnout are necessary to maintaining an adequate workforce to provide care ...
Burnout in oncologists has been increasing, especially after the COVID-19 pandemic. This is concerning because burnout can have both personal and professional repercussions, as well as a negative ...
Lessons From Taxanes Versus Eribulin for First-Line Metastatic Human Epidermal Growth Factor Receptor 2–Positive Breast Cancer in the EMERALD Study ASCO Guidelines provide recommendations with ...
PK/PD analyses of circulating tumor DNA (ctDNA) in patients with metastatic colorectal cancer (mCRC) treated with telisotuzumab adizutecan (ABBV-400). This is an ASCO Meeting Abstract from the 2025 ...
Final analysis of modified (m)-FOLFOXIRI plus cetuximab versus bevacizumab for RAS wild-type and left-sided metastatic colorectal cancer: The DEEPER trial (JACCRO CC-13). Single-cycle neoadjuvant ...
Randomized Comparison of Magnetic Resonance Imaging Versus Transurethral Resection for Staging New Bladder Cancers: Results From the Prospective BladderPath Trial A cost-utility analysis was performed ...
Comparative outcomes of neuroendocrine tumors in the historically underserved population of Bronx, NY: Montefiore Einstein Comprehensive Cancer Center. Pamrevlumab ...
Association between skeletal muscle morphometrics and overall survival among older adults with gastrointestinal cancers. Gene rearrangements/fusions identified per year.
Novel Use and Value of Contrast-Enhanced Susceptibility-Weighted Imaging Morphologic and Radiomic Features in Predicting Extremity Soft Tissue Undifferentiated Pleomorphic Sarcoma Treatment Response ...
Total neoadjuvant therapy with FOLFOX plus bevacizumab and short-course radiotherapy for Ras mutant, high-risk, locally advanced rectal cancer: The TRAINER trial. Phase Ib study of gevokizumab (GEVO) ...
Genomic analysis of paired primary and metastatic pancreatic ductal adenocarcinoma tumors.
A multimodal deep learning approach for the prognostic stratification of patients with colorectal cancer (CRC).