ResearcherThe University of Texas MD Anderson Cancer CenterActive in the last 2 years

Tsung-Hung Yao

ORCID-verified (high confidence, 0.95), identity_conf@1As of 7 November 2026

Matched on ORCID iD 0000-0001-5342-5430; OpenAlex author ID A5037827487. Sources: OpenAlex.

Their work

Papers: 1
Trials: 0
Grants: 0
Labs led: 0
Collaborators: 11

Papers, trials and grants by year

2026: 1 paper

Papers 1

Machine learning-based multimodal biomarkers enable accurate diagnosis and early detection of pancreatic ductal adenocarcinoma. Co-author DOI 10.1038/s41598-025-29548-4 ↗

Closest collaborators

The 11 strongest of 11 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

Subrata Sen · 1 shared paper, 2026 · strength 0.24
- Paper Machine learning-based multimodal biomarkers enable accurate diagnosis and early detection of pancreatic ductal adenoca… DOI 10.1038/s41598-025-29548-4 ↗
Seetharaman Balasenthil · 1 shared paper, 2026 · strength 0.24
- Paper Machine learning-based multimodal biomarkers enable accurate diagnosis and early detection of pancreatic ductal adenoca… DOI 10.1038/s41598-025-29548-4 ↗
Ye Hu · 1 shared paper, 2026 · strength 0.24
- Paper Machine learning-based multimodal biomarkers enable accurate diagnosis and early detection of pancreatic ductal adenoca… DOI 10.1038/s41598-025-29548-4 ↗
Warapen Treekitkarnmongkol · 1 shared paper, 2026 · strength 0.24
- Paper Machine learning-based multimodal biomarkers enable accurate diagnosis and early detection of pancreatic ductal adenoca… DOI 10.1038/s41598-025-29548-4 ↗
Nagireddy Putluri · 1 shared paper, 2026 · strength 0.24
- Paper Machine learning-based multimodal biomarkers enable accurate diagnosis and early detection of pancreatic ductal adenoca… DOI 10.1038/s41598-025-29548-4 ↗
Suprateek Kundu · 1 shared paper, 2026 · strength 0.24
- Paper Machine learning-based multimodal biomarkers enable accurate diagnosis and early detection of pancreatic ductal adenoca… DOI 10.1038/s41598-025-29548-4 ↗
Randall E. Brand · 1 shared paper, 2026 · strength 0.24
- Paper Machine learning-based multimodal biomarkers enable accurate diagnosis and early detection of pancreatic ductal adenoca… DOI 10.1038/s41598-025-29548-4 ↗
Anirban Maitra · 1 shared paper, 2026 · strength 0.24
- Paper Machine learning-based multimodal biomarkers enable accurate diagnosis and early detection of pancreatic ductal adenoca… DOI 10.1038/s41598-025-29548-4 ↗
Eugene Jon Koay · 1 shared paper, 2026 · strength 0.24
- Paper Machine learning-based multimodal biomarkers enable accurate diagnosis and early detection of pancreatic ductal adenoca… DOI 10.1038/s41598-025-29548-4 ↗
Ann McNeill Killary · 1 shared paper, 2026 · strength 0.24
- Paper Machine learning-based multimodal biomarkers enable accurate diagnosis and early detection of pancreatic ductal adenoca… DOI 10.1038/s41598-025-29548-4 ↗
Paul D. Lampe · 1 shared paper, 2026 · strength 0.24
- Paper Machine learning-based multimodal biomarkers enable accurate diagnosis and early detection of pancreatic ductal adenoca… DOI 10.1038/s41598-025-29548-4 ↗

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.