ResearcherCedars-Sinai Medical CenterActive in the last 2 years

Dan Theodorescu

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

Matched on ORCID iD 0000-0002-8708-8206; OpenAlex author ID A5020183452. Sources: OpenAlex.

Their work

Papers: 1 (first author 0, last author 1)
Trials: 0
Grants: 0
Labs led: 0
Collaborators: 4

Papers, trials and grants by year

2024: 1 paper

Papers 1

The Molecular Twin artificial-intelligence platform integrates multi-omic data to predict outcomes for pancreatic adenocarcinoma patients. Last author DOI 10.1038/s43018-023-00697-7 ↗

Closest collaborators

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

Cristina R. Ferrone · 1 shared paper, 2024 · strength 0.18
- Paper The Molecular Twin artificial-intelligence platform integrates multi-omic data to predict outcomes for pancreatic adeno… DOI 10.1038/s43018-023-00697-7 ↗
Andrew Eugene Hendifar · 1 shared paper, 2024 · strength 0.18
- Paper The Molecular Twin artificial-intelligence platform integrates multi-omic data to predict outcomes for pancreatic adeno… DOI 10.1038/s43018-023-00697-7 ↗
Lei Zheng · 1 shared paper, 2024 · strength 0.18
- Paper The Molecular Twin artificial-intelligence platform integrates multi-omic data to predict outcomes for pancreatic adeno… DOI 10.1038/s43018-023-00697-7 ↗
Arsen Osipov · 1 shared paper, 2024 · strength 0.18
- Paper The Molecular Twin artificial-intelligence platform integrates multi-omic data to predict outcomes for pancreatic adeno… DOI 10.1038/s43018-023-00697-7 ↗

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.