Leveraging Large Language Models for Precision Monitoring of Chemotherapy-Induced Toxicities: A Pilot Study with Expert Comparisons and Future Directions.

Introduction: Large Language Models (LLMs), such as the GPT model family from OpenAI, have demonstrated transformative potential across various fields, especially in medicine. These models can understand and generate contextual text, adapting to new tasks without specific training. This versatility can revolutionize clinical practices by enhancing documentation, patient interaction, and decision-making processes.

Aflibercept for metastatic colorectal cancer: safety data from the Spanish named patient program.

Objective: Aflibercept increased overall survival with acceptable tolerability in metastatic colorectal cancer (mCRC) when it was used in combination with FOLFIRI after progression on a first-line oxaliplatin regimen (VELOUR study). The safety profile of aflibercept in day-to-day clinical practice was assessed.

Design And Methods: A named patient program provided early access to aflibercept to mCRC patients in Spain before its commercialization.