no code implementations • 16 Sep 2022 • Zifeng Wang, Chufan Gao, Lucas M. Glass, Jimeng Sun
In silico trials are clinical trials conducted digitally through simulation and modeling as an alternative to traditional clinical trials.
no code implementations • 3 May 2021 • Kexin Huang, Cao Xiao, Lucas M. Glass, Cathy W. Critchlow, Greg Gibson, Jimeng Sun
Thanks to the increasing availability of genomics and other biomedical data, many machine learning approaches have been proposed for a wide range of therapeutic discovery and development tasks.
1 code implementation • 8 Feb 2021 • Tianfan Fu, Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun
Next, these embeddings will be fed into the knowledge embedding module to generate knowledge embeddings that are pretrained using external knowledge on pharmaco-kinetic properties and trial risk from the web.
no code implementations • 8 Dec 2020 • Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos, Cao Xiao, Lucas M. Glass, Jimeng Sun
Accurate prediction of the transmission of epidemic diseases such as COVID-19 is crucial for implementing effective mitigation measures.
no code implementations • 30 Oct 2020 • Zhi Qiao, Austin Bae, Lucas M. Glass, Cao Xiao, Jimeng Sun
To test the possibility of differentiating chest x-ray images of COVID-19 against other pneumonia and healthy patients using deep neural networks.
no code implementations • 22 Oct 2020 • Chacha Chen, Junjie Liang, Fenglong Ma, Lucas M. Glass, Jimeng Sun, Cao Xiao
However, existing uncertainty estimation approaches often failed in handling high-dimensional data, which are present in multi-sourced data.
1 code implementation • 5 Oct 2020 • Kexin Huang, Tianfan Fu, Dawood Khan, Ali Abid, Ali Abdalla, Abubakar Abid, Lucas M. Glass, Marinka Zitnik, Cao Xiao, Jimeng Sun
The efficacy of a drug depends on its binding affinity to the therapeutic target and pharmacokinetics.
1 code implementation • 5 Oct 2020 • Tianfan Fu, Cao Xiao, Xinhao Li, Lucas M. Glass, Jimeng Sun
Molecule optimization is a fundamental task for accelerating drug discovery, with the goal of generating new valid molecules that maximize multiple drug properties while maintaining similarity to the input molecule.
1 code implementation • 4 Oct 2020 • Yue Yu, Kexin Huang, Chao Zhang, Lucas M. Glass, Jimeng Sun, Cao Xiao
Furthermore, most previous works focus on binary DDI prediction whereas the multi-typed DDI pharmacological effect prediction is a more meaningful but harder task.
1 code implementation • 15 Jun 2020 • Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun
The other path processes EHR with multi-granularity memory network that encodes structured patient records into multiple levels based on medical ontology.
no code implementations • 26 Feb 2020 • Siddharth Biswal, Cao Xiao, Lucas M. Glass, M. Brandon Westover, Jimeng Sun
Most existing methods try to generate the whole reports from the raw input with limited success because 1) generated reports often contain errors that need manual review and correction, 2) it does not save time when doctors want to write additional information into the report, and 3) the generated reports are not customized based on individual doctors' preference.
1 code implementation • 24 Jan 2020 • Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M. Glass, Jimeng Sun
Compared to the best baseline model, StageNet achieves up to 12% higher AUPRC for risk prediction task on two real-world patient datasets.
no code implementations • 22 Jan 2020 • Xingyao Zhang, Cao Xiao, Lucas M. Glass, Jimeng Sun
To address these challenges, we proposed DeepEnroll, a cross-modal inference learning model to jointly encode enrollment criteria (text) and patients records (tabular data) into a shared latent space for matching inference.
no code implementations • 26 Nov 2019 • Limeng Cui, Siddharth Biswal, Lucas M. Glass, Greg Lever, Jimeng Sun, Cao Xiao
How to further leverage patients with possibly uncertain diagnosis to improve detection?
no code implementations • 23 Nov 2019 • Siddharth Biswal, Cao Xiao, Lucas M. Glass, Elizabeth Milkovits, Jimeng Sun
We propose doctor2vec which simultaneously learns 1) doctor representations from EHR data and 2) trial representations from the description and categorical information about the trials.
2 code implementations • 15 Nov 2019 • Kexin Huang, Cao Xiao, Trong Nghia Hoang, Lucas M. Glass, Jimeng Sun
Adverse drug-drug interactions (DDIs) remain a leading cause of morbidity and mortality.