CancerGPT for few shot drug pair synergy prediction using large pretrained language models.

Authors:
Li T; Shetty S; Kamath A; Jaiswal A; Jiang X and 2 more

Journal:
NPJ Digit Med

Publication Year: 2024

DOI:
10.1038/s41746-024-01024-9

PMCID:
PMC10876664

PMID:
38374445

View on PubMed View on PMC View Publisher

Journal Information

Journal Title: NPJ Digit Med

Detailed journal information not available.

Publication Details

Subject Category: Medical Informatics

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score

3/6

50.0% Transparent

Transparency Indicators

Click on green indicators to view evidence text

Core Indicators

Data Sharing

Code Sharing

COI Disclosure

Evidence found in paper:

"Competing interests The authors declare no competing interests."

Funding Disclosure

Evidence found in paper:

"XJ is CPRIT Scholar in Cancer Research (RR180012), and he was supported in part by Christopher Sarofim Family Professorship, UT Stars award, UTHealth startup, the National Institute of Health (NIH) under award number R01AG066749, R01AG066749-03S1, R01LM013712 and U01TR002062, and the National Science Foundation (NSF) #2124789. YD is supported by NSF AI Center Grant (NSF 2019844), NSF-CSIRO (NSF 2303038), NIH Bridge2AI (OTA-21-008), and Bill & Lewis Suit Professorship at the University of Texas at Austin. YK is supported by the NIH under award number R01AG082721, R01AG066749-03S1, and CPRIT RR180012."

Protocol Registration

Open Access

Paper is freely available to read

Additional Indicators

Replication

Novelty Statement

Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025