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Deep learning forward and reverse primer design to detect SARS-CoV-2 emerging variants
Hence, in this paper, we develop a semi-automated method to design both forward and reverse primer sets to detect SARS-CoV-2 variants.
Deep learning methods for screening patients' S-ICD implantation eligibility
The tool can also enable much more reliable and descriptive screenings to better assess patients' eligibility for S-ICD implantation.
Infrequent adverse event prediction in low carbon energy production using machine learning
We address the problem of predicting the occurrence of infrequent adverse events in the context of predictive maintenance.
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