A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation study
2022 · The Lancet Digital Health · 106 citations
https://doi.org/10.1016/s2589-7500(22)00213-8
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Suraj Rajendran
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Suraj Rajendran is an academic researcher from Cornell University. The author has contributed to research in topics: Privacy-Preserving Technologies in Data & Machine Learning in Healthcare & Reproductive Biology and Fertility. The author has an h-index of 11, co-authored 34 publications.
ORCID: 0000-0002-8149-0157Papers by this author
worksData heterogeneity in federated learning with Electronic Health Records: Case studies of risk prediction for acute kidney injury and sepsis diseases in critical care
2023 · PLOS Digital Health · 31 citations
https://doi.org/10.1371/journal.pdig.0000117
An adaptive federated learning framework for clinical risk prediction with electronic health records from multiple hospitals
2023 · Patterns · 20 citations
https://doi.org/10.1016/j.patter.2023.100898
High-speed optical imaging with sCMOS pixel reassignment
2024 · Nature Communications · 11 citations
https://doi.org/10.1038/s41467-024-48987-7
Multicenter target trial emulation to evaluate corticosteroids for sepsis stratified by predicted organ dysfunction trajectory
2025 · Nature Communications · 9 citations
https://doi.org/10.1038/s41467-025-59643-z
Federated target trial emulation using distributed observational data for treatment effect estimation
2025 · npj Digital Medicine · 5 citations
https://doi.org/10.1038/s41746-025-01803-y
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