ResearcherUniversity of CopenhagenActive in the last 2 years

Davide Placido

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

Matched on ORCID iD 0000-0002-8327-8838; OpenAlex author ID A5102779815. Sources: OpenAlex.

Their work

Papers: 2
Trials: 0
Grants: 0
Labs led: 0
Collaborators: 11

Papers, trials and grants by year

2023: 1 paper · 2024: none · 2025: none · 2026: 1 paper

Papers 2

Validation of a Pretrained Artificial Intelligence Model for Pancreatic Cancer Detection on Diagnosis and Prediagnosis Computed Tomography Scans. Co-author DOI 10.1097/rli.0000000000001209 ↗
A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories. Co-author DOI 10.1038/s41591-023-02332-5 ↗

Closest collaborators

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

Søren Brunak · 2 shared papers, 2023–2026 · strength 0.43
- Paper Validation of a Pretrained Artificial Intelligence Model for Pancreatic Cancer Detection on Diagnosis and Prediagnosis … DOI 10.1097/rli.0000000000001209 ↗
- Paper A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories. DOI 10.1038/s41591-023-02332-5 ↗
Laura Degand · 1 shared paper, 2026 · strength 0.30
- Paper Validation of a Pretrained Artificial Intelligence Model for Pancreatic Cancer Detection on Diagnosis and Prediagnosis … DOI 10.1097/rli.0000000000001209 ↗
Chen Yuan · 1 shared paper, 2023 · strength 0.13
- Paper A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories. DOI 10.1038/s41591-023-02332-5 ↗
Michael Hayden Rosenthal · 1 shared paper, 2023 · strength 0.13
- Paper A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories. DOI 10.1038/s41591-023-02332-5 ↗
Jihye Kim · 1 shared paper, 2023 · strength 0.13
- Paper A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories. DOI 10.1038/s41591-023-02332-5 ↗
Jessica Xin Hjaltelin · 1 shared paper, 2023 · strength 0.13
- Paper A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories. DOI 10.1038/s41591-023-02332-5 ↗
Chunlei Zheng · 1 shared paper, 2023 · strength 0.13
- Paper A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories. DOI 10.1038/s41591-023-02332-5 ↗
Aviv Regev · 1 shared paper, 2023 · strength 0.13
- Paper A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories. DOI 10.1038/s41591-023-02332-5 ↗
Peter Kraft · 1 shared paper, 2023 · strength 0.13
- Paper A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories. DOI 10.1038/s41591-023-02332-5 ↗
Brian Matthew Wolpin · 1 shared paper, 2023 · strength 0.13
- Paper A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories. DOI 10.1038/s41591-023-02332-5 ↗
Chris Sander · 1 shared paper, 2023 · strength 0.13
- Paper A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories. DOI 10.1038/s41591-023-02332-5 ↗

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.