4 papers
Authentic Multinational Federated Time-to-Event Analyses Among People with HIV in Latin America
Kaixing Liu, Zhuohui J. Liang, Fabio Paredes +12
Multinational HIV cohort studies face regulatory barriers to cross-border sharing of individual participant data, limiting centralized pooled analyses. Federated statistical method…
CausalWrap: Model-Agnostic Causal Constraint Wrappers for Tabular Synthetic Data
Amir Asiaee, Zhuohui J. Liang, Chao Yan
Tabular synthetic data generators are typically trained to match observational distributions, which can yield high conventional utility (e.g., column correlations, predictive accur…
A Consensus Privacy Metrics Framework for Synthetic Data
Lisa Pilgram, Fida K. Dankar, Jorg Drechsler +12
Synthetic data generation is one approach for sharing individual-level data. However, to meet legislative requirements, it is necessary to demonstrate that the individuals' privacy…
Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images
Xiaoge Zhang, Tao Wang, Chao Yan +5
Ensuring trustworthiness is fundamental to the development of artificial intelligence (AI) that is considered societally responsible, particularly in cancer diagnostics, where a mi…