5 papers
Bayesian shape-constrained regression for quantifying Alzheimer's disease biomarker progression
Mingyuan Li, Zheyu Wang, Akihiko Nishimura
Several biomarkers are hypothesized to indicate early stages of Alzheimer's disease, well before the cognitive symptoms manifest. Their precise relations to the disease progression…
ProtoBERT-LoRA: Parameter-Efficient Prototypical Finetuning for Immunotherapy Study Identification
Shijia Zhang, Xiyu Ding, Kai Ding +6
Identifying immune checkpoint inhibitor (ICI) studies in genomic repositories like Gene Expression Omnibus (GEO) is vital for cancer research yet remains challenging due to semanti…
Cross-Attention Fusion of MRI and Jacobian Maps for Alzheimer's Disease Diagnosis
Shijia Zhang, Xiyu Ding, Brian Caffo +4
Early diagnosis of Alzheimer's disease (AD) is critical for intervention before irreversible neurodegeneration occurs. Structural MRI (sMRI) is widely used for AD diagnosis, but co…
Joint Modeling of Biomarker Cascades Along An Unobserved Disease Progression with Differentiate Covariate Effects: An Application in Alzheimer's Disease
Zhuojun Tang, Yuxin Zhu, Kexin Zhang +1
Alzheimer's Disease (AD) research has shifted to focus on biomarker trajectories and their potential use in understanding the underlying AD-related pathological process. A conceptu…
Probabilistic Clustering using Shared Latent Variable Model for Assessing Alzheimers Disease Biomarkers
Yizhen Xu, Scott Zeger, Zheyu Wang
The preclinical stage of many neurodegenerative diseases can span decades before symptoms become apparent. Understanding the sequence of preclinical biomarker changes provides a cr…