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From the 1 of 8 linked papers with an AI index.

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8 papers

q-bio.NC2026

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…

stat.ME2026

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…

cs.LG2026

Generative Model via Quantile Assignment

Georgi Hrusanov, Oliver Y. Chén, Julien S. Bodelet

Deep Generative models (DGMs) play two key roles in modern machine learning: (i) producing new information (e.g., image synthesis) and (ii) reducing dimensionality. However, tradit…

cs.LG2025

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…

cs.LG2025

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…

cs.CV2025

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…