Introduction: Artificial intelligence (AI) and machine learning (ML) are increasingly used in
many aspects of drug discovery. Larger data sizes and methods such as Deep Neural …

High-throughput (HTP) plant phenoty** approaches are develo** rapidly and are
already hel** to bridge the genotype–phenotype gap. However, technologies should be …

Deep learning is transforming the analysis of biological images, but applying these models
to large datasets remains challenging. Here we describe the DeepCell Kiosk, cloud-native …

Background Metabolomics is the comprehensive study of a multitude of small molecules to
gain insight into an organism's metabolism. The research field is dynamic and expanding …

The biomedical research community is investing heavily in biomedical cloud platforms.
Cloud computing holds great promise for addressing challenges with big data and ensuring …

Traditional flavor chemistry research usually makes use of targeted approaches by focusing
on the detection and quantification of key flavor active metabolites that are present in food …

This article describes the design, development and implementation of a set of microservices
based on an architecture that enables detection and assisted clinical diagnosis within the …

Huntington's disease (HD) is a progressive, fatal neurodegenerative disease characterized
by motor, cognitive, and psychiatric symptoms. The precise mechanisms of HD progression …

This paper is an extension of work originally presented to pHealth 2019—16th International
Conference on Wearable, Micro and Nano Technologies for Personalized Health. To …

This article proposes a new framework for a Cloud-based eHealth platform concept focused
on Cloud computing environments, since current and emerging approaches using digital …