From the 1 of 9 linked papers with an AI index.
9 papers
Imputation-free transformer learning enables robust Alzheimer's disease prediction and calibrated uncertainty quantification across heterogeneous clinical cohorts
Christelle Schneuwly Diaz, Narmina Baghirova, Duy-Thanh Vu +4
The paper introduces NITROGEN, an imputation‑free transformer that learns from partially observed clinical records to predict Alzheimer's disease diagnosis and cognitive scores whi…
High-dimensional Many-to-many-to-many Mediation Analysis
Tien Dat Nguyen, Trung Khang Tran, Cong Khanh Truong +3
We study high-dimensional mediation analysis in which exposures, mediators, and outcomes are all multivariate, and both exposures and mediators may be high-dimensional. We formaliz…
XAI-enhanced Comparative Opinion Mining via Aspect-based Scoring and Semantic Reasoning
Ngoc-Quang Le, T. Thanh-Lam Nguyen, Quoc-Trung Phu +3
Comparative opinion mining involves comparing products from different reviews. However, transformer-based models designed for this task often lack transparency, which can adversely…
Physics-Informed Neural Koopman Machine for Interpretable Longitudinal Personalized Alzheimer's Disease Forecasting
Georgi Hrusanov, Duy-Thanh Vu, Duy-Cat Can +6
Early forecasting of individual cognitive decline in Alzheimer's disease (AD) is central to disease evaluation and management. Despite advances, it is as of yet challenging for exi…
MUDI: A Multimodal Biomedical Dataset for Understanding Pharmacodynamic Drug-Drug Interactions
Tung-Lam Ngo, Ba-Hoang Tran, Duy-Cat Can +3
Understanding the interaction between different drugs (drug-drug interaction or DDI) is critical for ensuring patient safety and optimizing therapeutic outcomes. Existing DDI datas…
REMEMBER: Retrieval-based Explainable Multimodal Evidence-guided Modeling for Brain Evaluation and Reasoning in Zero- and Few-shot Neurodegenerative Diagnosis
Duy-Cat Can, Quang-Huy Tang, Huong Ha +2
Timely and accurate diagnosis of neurodegenerative disorders, such as Alzheimer's disease, is central to disease management. Existing deep learning models require large-scale annot…