Zobrazeno 1 - 10
of 747
pro vyhledávání: '"Payne, Philip"'
Autor:
Kumar, Sayantan, Earnest, Tom, Yang, Braden, Kothapalli, Deydeep, Aschenbrenner, Andrew J., Hassenstab, Jason, Xiong, Chengie, Ances, Beau, Morris, John, Benzinger, Tammie L. S., Gordon, Brian A., Payne, Philip, Sotiras, Aristeidis
INTRODUCTION: Previous studies have applied normative modeling on a single neuroimaging modality to investigate Alzheimer Disease (AD) heterogeneity. We employed a deep learning-based multimodal normative framework to analyze individual-level variati
Externí odkaz:
http://arxiv.org/abs/2404.05748
Objective: We aimed to develop and validate a novel multimodal framework HiMAL (Hierarchical, Multi-task Auxiliary Learning) framework, for predicting cognitive composite functions as auxiliary tasks that estimate the longitudinal risk of transition
Externí odkaz:
http://arxiv.org/abs/2404.03208
Autor:
Dong, Zehao, Zhao, Qihang, Payne, Philip R. O., Province, Michael A, Cruchaga, Carlos, Zhang, Muhan, Zhao, Tianyu, Chen, Yixin, Li, Fuhai
Biomarker identification is critical for precise disease diagnosis and understanding disease pathogenesis in omics data analysis, like using fold change and regression analysis. Graph neural networks (GNNs) have been the dominant deep learning model
Externí odkaz:
http://arxiv.org/abs/2402.07268
Normative models in neuroimaging learn the brain patterns of healthy population distribution and estimate how disease subjects like Alzheimer's Disease (AD) deviate from the norm. Existing variational autoencoder (VAE)-based normative models using mu
Externí odkaz:
http://arxiv.org/abs/2312.00992
Autor:
Dong, Zehao, Zhang, Muhan, Payne, Philip R. O., Province, Michael A, Cruchaga, Carlos, Zhao, Tianyu, Li, Fuhai, Chen, Yixin
The expressivity of Graph Neural Networks (GNNs) has been studied broadly in recent years to reveal the design principles for more powerful GNNs. Graph canonization is known as a typical approach to distinguish non-isomorphic graphs, yet rarely adopt
Externí odkaz:
http://arxiv.org/abs/2309.00738
Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation
Autor:
Xue, Bing, Said, Ahmed Sameh, Xu, Ziqi, Liu, Hanyang, Shah, Neel, Yang, Hanqing, Payne, Philip, Lu, Chenyang
Extracorporeal membrane oxygenation (ECMO) is an essential life-supporting modality for COVID-19 patients who are refractory to conventional therapies. However, the proper treatment decision has been the subject of significant debate and it remains c
Externí odkaz:
http://arxiv.org/abs/2307.03315
Publikováno v:
Cancers 2023, 15(17), 4210
Synergistic drug combinations provide huge potentials to enhance therapeutic efficacy and to reduce adverse reactions. However, effective and synergistic drug combination prediction remains an open question because of the unknown causal disease signa
Externí odkaz:
http://arxiv.org/abs/2209.09245
Autor:
Albin, Aaron, Ji, Xiaonan, Borlawsky, Tara B, Ye, Zhan, Lin, Simon, Payne, Philip RO, Huang, Kun, Xiang, Yang
Publikováno v:
JMIR Medical Informatics, Vol 2, Iss 2, p e23 (2014)
BackgroundThe Unified Medical Language System (UMLS) contains many important ontologies in which terms are connected by semantic relations. For many studies on the relationships between biomedical concepts, the use of transitively associated informat
Externí odkaz:
https://doaj.org/article/57a7d7fc83bd468cb864feb254792485
Dementia is characterized by a decline in memory and thinking that is significant enough to impair function in activities of daily living. Patients seen in dementia specialty clinics are highly heterogeneous with a variety of different symptoms that
Externí odkaz:
http://arxiv.org/abs/2202.00009