ResearcherYokohama City UniversityActive in the last 2 years

Susumu Daibo

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

Matched on ORCID iD 0009-0008-3554-5621; OpenAlex author ID A5023054019. Sources: OpenAlex.

Their work

Papers: 1
Trials: 0
Grants: 0
Labs led: 0
Collaborators: 4

Papers, trials and grants by year

2025: 1 paper

Papers 1

Novel machine-learning model for predicting lymph node metastasis in resectable pancreatic ductal adenocarcinoma. Co-author DOI 10.1002/ags3.12836 ↗

Closest collaborators

The 4 strongest of 4 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

Yuki Homma · 1 shared paper, 2025 · strength 0.25
- Paper Novel machine-learning model for predicting lymph node metastasis in resectable pancreatic ductal adenocarcinoma. DOI 10.1002/ags3.12836 ↗
Kentaro Miyake · 1 shared paper, 2025 · strength 0.25
- Paper Novel machine-learning model for predicting lymph node metastasis in resectable pancreatic ductal adenocarcinoma. DOI 10.1002/ags3.12836 ↗
Hiroki Ohya · 1 shared paper, 2025 · strength 0.25
- Paper Novel machine-learning model for predicting lymph node metastasis in resectable pancreatic ductal adenocarcinoma. DOI 10.1002/ags3.12836 ↗
Itaru Endo · 1 shared paper, 2025 · strength 0.25
- Paper Novel machine-learning model for predicting lymph node metastasis in resectable pancreatic ductal adenocarcinoma. DOI 10.1002/ags3.12836 ↗

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.