Pancreatic Cancer Research

ResearcherKaiser PermanenteActive in the last 2 years

Tiffany Q. Luong

ORCID-verified (high confidence, 0.95), identity_conf@1As of 8 November 2026

Matched on ORCID iD 0000-0002-5825-9248; OpenAlex author ID A5071453510, A5121317799. Sources: OpenAlex.

Their work

Papers
12 (first author 2, last author 0)
Trials
0
Grants
0
Labs led
0
Collaborators
10
Papers, trials and grants by year

2022: 1 paper · 2023: 2 papers · 2024: 2 papers · 2025: 3 papers · 2026: 4 papers

Papers 12

  1. Surveillance Testing and Pancreatic Cancer Incidence Among Patients With Pancreatic Cysts. Co-author DOI 10.1001/jamanetworkopen.2026.27103↗
  2. Implementation of Risk Prediction Models Using Electronic Health Data for Early Detection of Pancreatic Cancer: A Prospective Pilot Feasibility Study. First author DOI 10.1002/cam4.72368↗
  3. 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↗
  4. Knowledge, preferences, and potential barriers to additional testing among patients identified as increased risk of pancreatic cancer through machine-learning … First author DOI 10.1016/j.pan.2026.03.017↗
  5. Tailored Strategies are Needed to Address Racial and Ethnic Disparities in Pancreatic Cancer Risk Prediction. Co-author DOI 10.1016/j.gastha.2025.100657↗
  6. 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↗
  7. Risk of Pancreatic Cancer in Cystic Fibrosis and Cystic Fibrosis Transmembrane Conductance Regulator Germline Variants: A Retrospective Cohort Study. Co-author DOI 10.14309/ctg.0000000000000857↗
  8. Prediction of pancreatic cancer in patients with new onset hyperglycemia: A modified ENDPAC model. Co-author DOI 10.1016/j.pan.2024.09.015↗
  9. Identifying Symptoms Prior to Pancreatic Ductal Adenocarcinoma Diagnosis in Real-World Care Settings: Natural Language Processing Approach. Co-author DOI 10.2196/51240↗
  10. Machine learning versus regression for prediction of sporadic pancreatic cancer. Co-author DOI 10.1016/j.pan.2023.04.009↗
  11. Derivation and External Validation of Machine Learning-Based Model for Detection of Pancreatic Cancer. Co-author DOI 10.14309/ajg.0000000000002050↗
  12. Clinical and Imaging Predictors of Pancreatic Cancer in Patients Hospitalized for Acute Pancreatitis. Co-author DOI 10.1016/j.gastha.2022.07.009↗

Closest collaborators

The 10 strongest of 10 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Bechien U. Wu · 12 shared papers, 2022–2026 · strength 3.23
  2. Wansu Chen · 9 shared papers, 2022–2026 · strength 2.29
  3. Fagen Xie · 6 shared papers, 2023–2025 · strength 1.42
  4. Christie Y. Jeon · 4 shared papers, 2023–2026 · strength 0.95
  5. Lynn McCormick Matrisian · 2 shared papers, 2024–2025 · strength 0.51
  6. Nikita J. Patel · 1 shared paper, 2025 · strength 0.37
  7. Kush Yadav · 1 shared paper, 2026 · strength 0.30
  8. Eric E. Chiang · 1 shared paper, 2026 · strength 0.27
  9. Wansu Chen · 1 shared paper, 2026 · strength 0.27
  10. Joseph R. Pisegna · 1 shared paper, 2023 · strength 0.17

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.