ResearcherKaiser PermanenteActive in the last 2 years
Wansu Chen
Matched on ORCID iD 0000-0002-3486-7468; OpenAlex author ID A5009114007. Sources: OpenAlex.
Their work
- Papers
- 18 (first author 0, last author 3)
- Trials
- 0
- Grants
- 0
- Labs led
- 1
- Collaborators
- 17
2020: 2 papers · 2021: 1 paper · 2022: 4 papers · 2023: 4 papers · 2024: 3 papers · 2025: 2 papers · 2026: 2 papers
Papers 18
- Implementation of Risk Prediction Models Using Electronic Health Data for Early Detection of Pancreatic Cancer: A Prospective Pilot Feasibility Study. Last author DOI 10.1002/cam4.72368↗
- Real world deployment of a pancreatic cancer risk model: impact of refitting, imputation, and computational burden. Co-author DOI 10.1016/j.ebiom.2025.106118↗
- Tailored Strategies are Needed to Address Racial and Ethnic Disparities in Pancreatic Cancer Risk Prediction. Co-author DOI 10.1016/j.gastha.2025.100657↗
- Identifying signs and symptoms of pancreatic cancer: a population-based study using electronic health records and natural language processing. Co-author DOI 10.1016/j.pan.2025.05.005↗
- Early features of pancreatic cancer on magnetic resonance imaging (MRI): a case-control study. Co-author DOI 10.1007/s00261-024-04271-2↗
- Prediction of pancreatic cancer in patients with new onset hyperglycemia: A modified ENDPAC model. Co-author DOI 10.1016/j.pan.2024.09.015↗
- Identifying Symptoms Prior to Pancreatic Ductal Adenocarcinoma Diagnosis in Real-World Care Settings: Natural Language Processing Approach. Last author DOI 10.2196/51240↗
- Machine learning versus regression for prediction of sporadic pancreatic cancer. Co-author DOI 10.1016/j.pan.2023.04.009↗
- Risk Prediction of Pancreatic Cancer in Patients With Recent-onset Hyperglycemia: A Machine-learning Approach. Co-author DOI 10.1097/mcg.0000000000001710↗
- Derivation and External Validation of Machine Learning-Based Model for Detection of Pancreatic Cancer. Co-author DOI 10.14309/ajg.0000000000002050↗
- Quantitative Radiomic Features From Computed Tomography Can Predict Pancreatic Cancer up to 36 Months Before Diagnosis. Co-author DOI 10.14309/ctg.0000000000000548↗
- Risk Prediction of Pancreatic Cancer in Patients With Abnormal Morphologic Findings Related to Chronic Pancreatitis: A Machine Learning Approach. Co-author DOI 10.1016/j.gastha.2022.06.008↗
- Clinical and Imaging Predictors of Pancreatic Cancer in Patients Hospitalized for Acute Pancreatitis. Co-author DOI 10.1016/j.gastha.2022.07.009↗
- Predicting pancreatic ductal adenocarcinoma using artificial intelligence analysis of pre-diagnostic computed tomography images. Co-author DOI 10.3233/cbm-210273↗
- Risk prediction of pancreatic cancer using AI analysis of pancreatic subregions in computed tomography images. Co-author DOI 10.3389/fonc.2022.1007990↗
- Validation of the Enriching New-Onset Diabetes for Pancreatic Cancer Model in a Diverse and Integrated Healthcare Setting. Co-author DOI 10.1007/s10620-020-06139-z↗
- Association of Glycated Hemoglobin Levels With Risk of Pancreatic Cancer. Last author DOI 10.1001/jamanetworkopen.2020.4945↗
- Prediction of Pancreatic Cancer Based on Imaging Features in Patients With Duct Abnormalities. Co-author DOI 10.1097/mpa.0000000000001499↗
Closest collaborators
The 17 strongest of 17 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Bechien U. Wu · 17 shared papers, 2020–2026 · strength 3.74
- Paper Real world deployment of a pancreatic cancer risk model: impact of refitting, imputation, and computational burden. DOI 10.1016/j.ebiom.2025.106118↗
- Paper Tailored Strategies are Needed to Address Racial and Ethnic Disparities in Pancreatic Cancer Risk Prediction. DOI 10.1016/j.gastha.2025.100657↗
- Paper Implementation of Risk Prediction Models Using Electronic Health Data for Early Detection of Pancreatic Cancer: A Prosp… DOI 10.1002/cam4.72368↗
- Tiffany Q. Luong · 9 shared papers, 2022–2026 · strength 2.29
- Paper Real world deployment of a pancreatic cancer risk model: impact of refitting, imputation, and computational burden. DOI 10.1016/j.ebiom.2025.106118↗
- Paper Tailored Strategies are Needed to Address Racial and Ethnic Disparities in Pancreatic Cancer Risk Prediction. DOI 10.1016/j.gastha.2025.100657↗
- Paper Implementation of Risk Prediction Models Using Electronic Health Data for Early Detection of Pancreatic Cancer: A Prosp… DOI 10.1002/cam4.72368↗
- Fagen Xie · 6 shared papers, 2023–2025 · strength 1.42
- Paper Tailored Strategies are Needed to Address Racial and Ethnic Disparities in Pancreatic Cancer Risk Prediction. DOI 10.1016/j.gastha.2025.100657↗
- Paper Identifying signs and symptoms of pancreatic cancer: a population-based study using electronic health records and natur… DOI 10.1016/j.pan.2025.05.005↗
- Paper Prediction of pancreatic cancer in patients with new onset hyperglycemia: A modified ENDPAC model. DOI 10.1016/j.pan.2024.09.015↗
- Christie Y. Jeon · 5 shared papers, 2020–2026 · strength 0.92
- Paper Implementation of Risk Prediction Models Using Electronic Health Data for Early Detection of Pancreatic Cancer: A Prosp… DOI 10.1002/cam4.72368↗
- Paper Machine learning versus regression for prediction of sporadic pancreatic cancer. DOI 10.1016/j.pan.2023.04.009↗
- Paper Derivation and External Validation of Machine Learning-Based Model for Detection of Pancreatic Cancer. DOI 10.14309/ajg.0000000000002050↗
- Lynn McCormick Matrisian · 2 shared papers, 2024–2025 · strength 0.51
- Suresh T. Chari · 2 shared papers, 2021–2023 · strength 0.38
- Paper Risk Prediction of Pancreatic Cancer in Patients With Recent-onset Hyperglycemia: A Machine-learning Approach. DOI 10.1097/mcg.0000000000001710↗
- Paper Validation of the Enriching New-Onset Diabetes for Pancreatic Cancer Model in a Diverse and Integrated Healthcare Setti… DOI 10.1007/s10620-020-06139-z↗
- Stephen Jacob Pandol · 2 shared papers, 2022 · strength 0.28
- Srinivas Gaddam · 2 shared papers, 2022 · strength 0.28
- Touseef Ahmad Qureshi · 2 shared papers, 2022 · strength 0.28
- Rex A. Parker · 1 shared paper, 2024 · strength 0.26
- Anirban Maitra · 1 shared paper, 2023 · strength 0.20
- Jo Ann Rinaudo · 1 shared paper, 2023 · strength 0.20
- Joseph R. Pisegna · 1 shared paper, 2023 · strength 0.17
- Debiao Li · 1 shared paper, 2022 · strength 0.15
- Lixia Wang · 1 shared paper, 2022 · strength 0.14
- Sehrish Javed · 1 shared paper, 2022 · strength 0.14
- Debiao Li · 1 shared paper, 2022 · strength 0.14
How to reach this person
A chain of introductions through people who have published, run trials or held grants together (warm_path@1: fewest links first, then the strongest). Built from public records only; no contact details are kept.