ResearcherMassachusetts Institute of TechnologyActive in the last 2 years

Kai Jia

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

Matched on ORCID iD 0000-0001-8215-9899; OpenAlex author ID A5101648153. Sources: OpenAlex.

Their work

Papers: 2
Trials: 0
Grants: 0
Labs led: 0
Collaborators: 4

Papers, trials and grants by year

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

Papers 2

Prospective Population-Scale Validation of an Electronic Health Record–Based Model for Pancreatic Cancer Risk Co-author DOI 10.64898/2026.04.11.26350318 ↗
A pancreatic cancer risk prediction model (Prism) developed and validated on large-scale US clinical data. Co-author DOI 10.1016/j.ebiom.2023.104888 ↗

Closest collaborators

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

Martin Rinard · 2 shared papers, 2023–2026 · strength 0.47
- Paper Prospective Population-Scale Validation of an Electronic Health Record–Based Model for Pancreatic Cancer Risk DOI 10.64898/2026.04.11.26350318 ↗
- Paper A pancreatic cancer risk prediction model (Prism) developed and validated on large-scale US clinical data. DOI 10.1016/j.ebiom.2023.104888 ↗
Limor Appelbaum · 2 shared papers, 2023–2026 · strength 0.47
- Paper Prospective Population-Scale Validation of an Electronic Health Record–Based Model for Pancreatic Cancer Risk DOI 10.64898/2026.04.11.26350318 ↗
- Paper A pancreatic cancer risk prediction model (Prism) developed and validated on large-scale US clinical data. DOI 10.1016/j.ebiom.2023.104888 ↗
Eric Lahtinen · 1 shared paper, 2026 · strength 0.28
- Paper Prospective Population-Scale Validation of an Electronic Health Record–Based Model for Pancreatic Cancer Risk DOI 10.64898/2026.04.11.26350318 ↗
Mandeep Sawhney · 1 shared paper, 2026 · strength 0.28
- Paper Prospective Population-Scale Validation of an Electronic Health Record–Based Model for Pancreatic Cancer Risk DOI 10.64898/2026.04.11.26350318 ↗

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.