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Accelerating COVID-19 Differential Diagnosis with Explainable Ultrasound Image Analysis
Controlling the COVID-19 pandemic largely hinges upon the existence of f...
09/13/2020 ∙ by Jannis Born, et al. ∙
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PaccMann^RL on SARS-CoV-2: Designing antiviral candidates with conditional generative models
With the fast development of COVID-19 into a global pandemic, scientists...
05/27/2020 ∙ by Jannis Born, et al. ∙
48
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Targeted design of antiviral compounds against SARS-CoV-2 with conditional generative models
With the fast development of COVID-19 into a global pandemic, scientists...
05/27/2020 ∙ by Jannis Born, et al. ∙
25
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POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS)
With the rapid development of COVID-19 into a global pandemic, there is ...
04/25/2020 ∙ by Jannis Born, et al. ∙
11
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Towards Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-based Convolutional Encoders
In line with recent advances in neural drug design and sensitivity predi...
04/25/2019 ∙ by Matteo Manica, et al. ∙
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PaccMann: Prediction of anticancer compound sensitivity with multi-modal attention-based neural networks
We present a novel approach for the prediction of anticancer compound se...
11/16/2018 ∙ by Ali Oskooei, et al. ∙
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