ResearcherHarvard UniversityActive in the last 2 years
Chris Sander
Matched on ORCID iD 0000-0001-6059-6270; OpenAlex author ID A5008166270. Sources: OpenAlex.
Their work
- Papers
- 5 (first author 0, last author 2)
- Trials
- 0
- Grants
- 0
- Labs led
- 1
- Collaborators
- 41
2020: 1 paper · 2021: 1 paper · 2022: none · 2023: 2 papers · 2024: none · 2025: 1 paper
Papers 5
- Pancreatic cancer risk prediction using deep sequential modeling of longitudinal diagnostic and medication records. Last author DOI 10.1016/j.xcrm.2025.102359↗
- Pancreatic cancer is associated with medication changes prior to clinical diagnosis. Co-author DOI 10.1038/s41467-023-38088-2↗
- A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories. Last author DOI 10.1038/s41591-023-02332-5↗
- Artificial Intelligence and Early Detection of Pancreatic Cancer: 2020 Summative Review. Co-author DOI 10.1097/mpa.0000000000001762↗
- Diabetes, Weight Change, and Pancreatic Cancer Risk. Co-author DOI 10.1001/jamaoncol.2020.2948↗
Closest collaborators
The 25 strongest of 41 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Michael Hayden Rosenthal · 4 shared papers, 2020–2023 · strength 0.46
- Paper Pancreatic cancer is associated with medication changes prior to clinical diagnosis. DOI 10.1038/s41467-023-38088-2↗
- Paper A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories. DOI 10.1038/s41591-023-02332-5↗
- Paper Diabetes, Weight Change, and Pancreatic Cancer Risk. DOI 10.1001/jamaoncol.2020.2948↗
- Brian Matthew Wolpin · 4 shared papers, 2020–2023 · strength 0.46
- Paper Pancreatic cancer is associated with medication changes prior to clinical diagnosis. DOI 10.1038/s41467-023-38088-2↗
- Paper A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories. DOI 10.1038/s41591-023-02332-5↗
- Paper Diabetes, Weight Change, and Pancreatic Cancer Risk. DOI 10.1001/jamaoncol.2020.2948↗
- Chunlei Zheng · 2 shared papers, 2023–2025 · strength 0.41
- Chen Yuan · 3 shared papers, 2020–2023 · strength 0.38
- Paper Pancreatic cancer is associated with medication changes prior to clinical diagnosis. DOI 10.1038/s41467-023-38088-2↗
- Paper A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories. DOI 10.1038/s41591-023-02332-5↗
- Paper Diabetes, Weight Change, and Pancreatic Cancer Risk. DOI 10.1001/jamaoncol.2020.2948↗
- Peter Kraft · 3 shared papers, 2020–2023 · strength 0.38
- Paper Pancreatic cancer is associated with medication changes prior to clinical diagnosis. DOI 10.1038/s41467-023-38088-2↗
- Paper A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories. DOI 10.1038/s41591-023-02332-5↗
- Paper Diabetes, Weight Change, and Pancreatic Cancer Risk. DOI 10.1001/jamaoncol.2020.2948↗
- Ana Babić · 2 shared papers, 2020–2023 · strength 0.25
- Edward L. Giovannucci · 2 shared papers, 2020–2023 · strength 0.25
- Kimmie Ng · 2 shared papers, 2020–2023 · strength 0.25
- Jonathan Andrew Nowak · 2 shared papers, 2020–2023 · strength 0.25
- Søren Brunak · 2 shared papers, 2021–2023 · strength 0.22
- Yin Zhang · 1 shared paper, 2023 · strength 0.15
- Jesper Lagergren · 1 shared paper, 2023 · strength 0.15
- Alice A. Lee · 1 shared paper, 2023 · strength 0.15
- Qiao-Li Wang · 1 shared paper, 2023 · strength 0.15
- Kimberly J. Perez · 1 shared paper, 2023 · strength 0.15
- Jihye Kim · 1 shared paper, 2023 · strength 0.13
- Jessica Xin Hjaltelin · 1 shared paper, 2023 · strength 0.13
- Davide Placido · 1 shared paper, 2023 · strength 0.13
- Aviv Regev · 1 shared paper, 2023 · strength 0.13
- Douglas Adam Rubinson · 1 shared paper, 2020 · strength 0.09
- Andrew J. Aguirre · 1 shared paper, 2020 · strength 0.09
- Pari V. Pandharipande · 1 shared paper, 2020 · strength 0.09
- Charles S. Fuchs · 1 shared paper, 2020 · strength 0.09
- Natalia I. Khalaf · 1 shared paper, 2020 · strength 0.09
- Barbara J. Kenner · 1 shared paper, 2021 · strength 0.09
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.