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 The authors present a score that ...
Generative Pre-trained Transformer (GPT) models, which are large language models based on the transformer architecture, have enabled natural-language interaction with humans. GPT models have ...
The rapid expansion of scientific literature has made it increasingly challenging for clinicians and researchers to efficiently identify relevant evidence. While large language models (LLMs) offer ...
We introduce DualGPT-AB, a dual-stage conditional generative pre-trained transformer (GPT) framework for therapeutic antibody design that simultaneously optimizes antigen-binding specificity and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results