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Keywords: machine learning
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Emerg Top Life Sci (2021) ETLS20210213.
Published: 15 November 2021
...Kristen D. Curry; Michael G. Nute; Todd J. Treangen Associations between the human gut microbiome and expression of host illness have been noted in a variety of conditions ranging from gastrointestinal dysfunctions to neurological deficits. Machine learning (ML) methods have generated promising...
Emerg Top Life Sci (2021) ETLS20210225.
Published: 19 October 2021
... are storing increasing amounts of protein structural data, in addition to modeled structures becoming increasingly available. This, combined with the recent advances in graph-based machine-learning models, enables the use of protein structural data in predictive models, with the goal of creating tools...
Emerg Top Life Sci (2021) 5 (1): 113–125.
Published: 09 April 2021
... Intelligence (AI) and Machine Learning (ML) have great potential to revolutionize smart enzyme engineering without the explicit need for a complete understanding of the underlying molecular system. Here, we portray the role and position of AI techniques in the field of enzyme engineering along with their scope...
Emerg Top Life Sci (2021) 5 (1): 13–27.
Published: 07 April 2021
... applications. However, recent technological advancements, along with parallel surge in clinical research have led to the concomitant establishment of other powerful computational techniques such as Artificial Intelligence (AI) and Machine Learning (ML). These leading-edge tools with the ability to successfully...
Emerg Top Life Sci (2019) 3 (6): 741–746.
Published: 14 November 2019
... to develop, and train AI. Machine learning improvement is proportionate to input data. However, most countries in the South, especially LDCs, are characterised by the absence of data, poor quality data, or non-uniform data sets. In this regard, data on the most vulnerable populations, especially those who...