| Development and validation of machine learning models to predict readmission after colorectal surgery KA Chen, CU Joisa, KB Stitzenberg, J Stem, JG Guillem, SM Gomez, ... Journal of Gastrointestinal Surgery 26 (11), 2342-2350, 2022 | 9 | 2022 |
| Improved prediction of surgical-site infection after colorectal surgery using machine learning KA Chen, CU Joisa, JM Stem, JG Guillem, SM Gomez, MR Kapadia Diseases of the Colon & Rectum 66 (3), 458-466, 2023 | 5 | 2023 |
| Kinome inhibition states and multiomics data enable prediction of cell viability in diverse cancer types ME Berginski, CU Joisa, BT Golitz, SM Gomez PLOS Computational Biology 19 (2), e1010888, 2023 | 3 | 2023 |
| Kinome state is predictive of cell viability in pancreatic cancer tumor and stroma cell lines ME Berginski, MR Jenner, CU Joisa, SG Herrera Loeza, BT Golitz, ... BioRxiv, 2021.07. 21.451515, 2021 | 2 | 2021 |
| Prediction of Ureteral Injury During Colorectal Surgery Using Machine Learning KA Chen, CU Joisa, JM Stem, JG Guillem, SM Gomez, MR Kapadia The American Surgeon™ 89 (12), 5702-5710, 2023 | 1 | 2023 |
| Integrated single-dose kinome profiling data is predictive of cancer cell line sensitivity to kinase inhibitors CU Joisa, KA Chen, ME Berginski, BT Golitz, MR Jenner, GH Loeza, ... PeerJ 11, e16342, 2023 | 1 | 2023 |
| Prediction of Pathologic Complete Response for Rectal Cancer Based on Pretreatment Factors Using Machine Learning KA Chen, P Goffredo, LR Butler, CU Joisa, JG Guillem, SM Gomez, ... Diseases of the Colon & Rectum 67 (3), 387-397, 2024 | | 2024 |
| Linking gene expression to clinical outcomes in pediatric Crohn’s disease using machine learning KA Chen, NC Nishiyama, MM Kennedy Ng, A Shumway, CU Joisa, ... Scientific Reports 14 (1), 2667, 2024 | | 2024 |
| Estimating Risk of Locoregional Failure and Overall Survival in Anal Cancer Following Chemoradiation: A Machine Learning Approach KA Chen, P Goffredo, D Hu, CU Joisa, JG Guillem, SM Gomez, ... Journal of Gastrointestinal Surgery 27 (9), 1925-1935, 2023 | | 2023 |
| Towards Leveraging Inhibition State of the Kinome for Precision Oncology CU Joisa The University of North Carolina at Chapel Hill, 2023 | | 2023 |
| Combined kinome inhibition states are predictive of cancer cell line sensitivity to kinase inhibitor combination therapies CU Joisa, KA Chen, S Beville, T Stuhlmiller, ME Berginski, D Okumu, ... PACIFIC SYMPOSIUM ON BIOCOMPUTING 2024, 276-290, 2023 | | 2023 |
Kevin A ChenResident Physician at UNC Chapel HillVerified email at unchealth.unc.edu
