128 citations · 169 across the 4 of their papers we have counts for
5 papers
Interpreting the Mechanism of Synergism for Drug Combinations Using Attention-Based Hierarchical Graph Pooling
Zehao Dong, Heming Zhang, Yixin Chen +2
Synergistic drug combinations provide huge potentials to enhance therapeutic efficacy and to reduce adverse reactions. However, effective and synergistic drug combination predictio…
Self-explaining Neural Network with Concept-based Explanations for ICU Mortality Prediction
Sayantan Kumar, Sean C. Yu, Thomas Kannampallil +3
Complex deep learning models show high prediction tasks in various clinical prediction tasks but their inherent complexity makes it more challenging to explain model predictions fo…
Machine learning for modeling the progression of Alzheimer disease dementia using clinical data: a systematic literature review
Sayantan Kumar, Inez Oh, Suzanne Schindler +3
Objective Alzheimer disease (AD) is the most common cause of dementia, a syndrome characterized by cognitive impairment severe enough to interfere with activities of daily life. We…
Repurposing drugs for COVID-19 based on transcriptional response of host cells to SARS-CoV-2
Fuhai Li, Andrew P. Michelson, Randi Foraker +2
The Coronavirus Disease 2019 (COVID-19) pandemic has infected over 10 million people globally with a relatively high mortality rate. There are many therapeutics undergoing clinical…
Synergistic Drug Combination Prediction by Integrating Multi-omics Data in Deep Learning Models
Tianyu Zhang, Liwei Zhang, Philip R. O. Payne +1
Drug resistance is still a major challenge in cancer therapy. Drug combination is expected to overcome drug resistance. However, the number of possible drug combinations is enormou…