Development and validation of AI-assisted transcriptomic signatures to personalize adjuvant chemotherapy in patients with pancreatic ductal adenocarcinoma.

N FraunhofferP HammelT ConroyR NicolleJ-B BachetA HarléV ReboursA TurpinM Ben AbdelghaniE MitryJ BiagiB ChanezM BigonnetA LopezL EvesqueT LecomteE AssenatO BouchéD J RenoufA LambertL MonardM MauduitJ CrosJ IovannaN Dusetti

Published in: Annals of oncology : official journal of the European Society for Medical Oncology (2024)

This study presents a transcriptome-based tool that was developed using preclinical models and machine learning to accurately predict sensitivity to mFFX and GEM.

Keyphrases

machine learning
single cell
artificial intelligence
rna seq
genome wide
gene expression
big data
cell therapy
stem cells
mesenchymal stem cells
bone marrow