TOWARD CO-DESIGN OF AN AI SOLUTION FOR DETECTION OF DIARRHEAL PATHOGENS IN DRINKING WATER WITHIN RESOURCE-CONSTRAINED CONTEXTS.

Toward co-design of an AI solution for detection of diarrheal pathogens in drinking water within resource-constrained contexts.

Despite successes on the Sustainable Development Goals for access to improved water sources and sanitation, many low and middle-income countries (LMICs) continue to struggle with high rates of diarrheal disease.In Guatemala, 98% of water sources are estimated to have E.coli contamination.This project moves toward a novel low-cost approach to bridge

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SERpredict: Detection of tissue- or tumor-specific isoforms generated through exonization of transposable elements

Abstract Background Transposed elements (TEs) are known to affect transcriptomes, because either new exons are generated from intronic transposed elements (this is called exonization), or the element inserts into the exon, leading to a new transcript.Several examples in the literature show that isoforms generated by an exonization are specific to a

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