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NPJ Precision Oncology|June 10, 2025
Predicting atezolizumab response in metastatic urothelial carcinoma patients using machine learning on integrated tumour gene expression and clinical dataChayanit Piyawajanusorn, Ghita Ghislat, Pedro J BallesterHealth Data Science|March 15, 2024
Large-Scale Machine Learning Analysis Reveals DNA Methylation and Gene Expression Response Signatures for Gemcitabine-Treated Pancreatic CancerAdeolu Ogunleye, Chayanit Piyawajanusorn, Ghita Ghislat, et al.Briefings in Bioinformatics|August 9, 2021
A gentle introduction to understanding preclinical data for cancer pharmaco-omic modelingChayanit Piyawajanusorn, Linh C Nguyen, Ghita Ghislat, et al.Expert Opinion on Drug Discovery|September 24, 2024
Data-centric challenges with the application and adoption of artificial intelligence for drug discoveryGhita Ghislat, Saiveth Hernandez-Hernandez, Chayanit Piyawajanusorn, et al.Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|July 5, 2022
Interpretable Machine Learning Models to Predict the Resistance of Breast Cancer Patients to Doxorubicin from Their microRNA ProfilesAdeolu Z Ogunleye, Chayanit Piyawajanusorn, Anthony Gonçalves, et al.Cancer Genomics & Proteomics|October 30, 2019
PRIMA-1MET Induces Cellular Senescence and Apoptotic Cell Death in Cholangiocarcinoma CellsChayanit Piyawajanusorn, Yingpinyapat Kittirat, Prakasit Sa-Ngiamwibool, et al.Pageof 1