A Data Analytics Suite for Exploratory, Predictive, and Visual Analysis of Type 2 Diabetes
Relevant for exploratory analytics, feature review, and presentation of complex diabetes-related data.
ieee.org/document/9694592Big Data and Diabetes: The Applications of Big Data for Diabetes Care Now and in the Future
Useful for understanding how data-rich approaches can improve diabetes care and forward-looking analysis.
doi.org/10.1111/dme.14044Combining Genetic and Non-Genetic Factors to Predict the Risk of Pancreatic Cancer in Patients with New-Onset Diabetes Mellitus
Highlights the value of blending clinical and non-clinical signals when estimating pancreatic cancer risk.
doi.org/10.1186/s12916-025-04048-4Machine Learning-Based Clinical Prediction Model and Multi-Omics Integration for Assessing Pancreatic Cancer Risk in New-Onset Diabetes
Supports the project's interest in richer model inputs and combined evidence for risk stratification.
doi.org/10.1186/s12967-026-07767-1Project brief: AI-Driven Discovery of Metabolic Biomarkers Linking Diabetes and Pancreatic Cancer for Early Detection
Internal project framing document used to guide the research direction.
Project overview