ResearcherCedars-Sinai Medical CenterActive in the last 2 years

Sehrish Javed

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

Matched on ORCID iD 0009-0007-8758-8124; OpenAlex author ID A5101887271. Sources: OpenAlex.

Their work

Papers: 4 (first author 1, last author 0)
Trials: 0
Grants: 0
Labs led: 0
Collaborators: 14

Papers, trials and grants by year

2022: 2 papers · 2023: none · 2024: 1 paper · 2025: 1 paper

Papers 4

Predicting Pancreatic Ductal Adenocarcinoma Occurrence Up to 10 Years in Advance Using Features of the Main Pancreatic Duct in Pre-Diagnostic CT Scans. Co-author DOI 10.3390/cancers17111886 ↗
An insight to PDAC tumor heterogeneity across pancreatic subregions using computed tomography images. Co-author DOI 10.3389/fonc.2024.1378691 ↗
Artificial intelligence and imaging for risk prediction of pancreatic cancer: a narrative review. First author DOI 10.21037/cco-21-117 ↗
Risk prediction of pancreatic cancer using AI analysis of pancreatic subregions in computed tomography images. Co-author DOI 10.3389/fonc.2022.1007990 ↗

Closest collaborators

The 14 strongest of 14 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

Stephen Jacob Pandol · 4 shared papers, 2022–2025 · strength 0.76
Debiao Li · 4 shared papers, 2022–2025 · strength 0.76
Touseef Ahmad Qureshi · 4 shared papers, 2022–2025 · strength 0.76
Lixia Wang · 3 shared papers, 2022–2025 · strength 0.56
Srinivas Gaddam · 3 shared papers, 2022–2025 · strength 0.56
Christie Y. Jeon · 2 shared papers, 2022–2025 · strength 0.32
- Paper Predicting Pancreatic Ductal Adenocarcinoma Occurrence Up to 10 Years in Advance Using Features of the Main Pancreatic … DOI 10.3390/cancers17111886 ↗
- Paper Risk prediction of pancreatic cancer using AI analysis of pancreatic subregions in computed tomography images. DOI 10.3389/fonc.2022.1007990 ↗
Vahid Yaghmai · 1 shared paper, 2025 · strength 0.18
- Paper Predicting Pancreatic Ductal Adenocarcinoma Occurrence Up to 10 Years in Advance Using Features of the Main Pancreatic … DOI 10.3390/cancers17111886 ↗
Temel Tirkes · 1 shared paper, 2025 · strength 0.18
- Paper Predicting Pancreatic Ductal Adenocarcinoma Occurrence Up to 10 Years in Advance Using Features of the Main Pancreatic … DOI 10.3390/cancers17111886 ↗
Camila Lopes Vendrami · 1 shared paper, 2025 · strength 0.18
- Paper Predicting Pancreatic Ductal Adenocarcinoma Occurrence Up to 10 Years in Advance Using Features of the Main Pancreatic … DOI 10.3390/cancers17111886 ↗
James Leonard Buxbaum · 1 shared paper, 2025 · strength 0.18
- Paper Predicting Pancreatic Ductal Adenocarcinoma Occurrence Up to 10 Years in Advance Using Features of the Main Pancreatic … DOI 10.3390/cancers17111886 ↗
Frank H. Miller · 1 shared paper, 2025 · strength 0.18
- Paper Predicting Pancreatic Ductal Adenocarcinoma Occurrence Up to 10 Years in Advance Using Features of the Main Pancreatic … DOI 10.3390/cancers17111886 ↗
Wolfram Goessling · 1 shared paper, 2025 · strength 0.18
- Paper Predicting Pancreatic Ductal Adenocarcinoma Occurrence Up to 10 Years in Advance Using Features of the Main Pancreatic … DOI 10.3390/cancers17111886 ↗
Yasmin Genevieve Hernandez-Barco · 1 shared paper, 2025 · strength 0.18
- Paper Predicting Pancreatic Ductal Adenocarcinoma Occurrence Up to 10 Years in Advance Using Features of the Main Pancreatic … DOI 10.3390/cancers17111886 ↗
Wansu Chen · 1 shared paper, 2022 · strength 0.14
- Paper Risk prediction of pancreatic cancer using AI analysis of pancreatic subregions in computed tomography images. DOI 10.3389/fonc.2022.1007990 ↗

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.