Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...
In the advancing modern world, AI is acting to transform the landscape of technology by reshaping industries and changing the methods of interaction with the digital world. It has solved the most ...
Non-canonical amino acids can expand the scope of proteins available for therapeutics and machine learning platforms can ...
A new algorithm could drive breakthroughs in understanding cancer, Alzheimer's disease and other potentially fatal conditions ...
BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
As patients are divided into ever more narrowly defined subgroups, the number of individuals available for research shrinks dramatically. While this approach improves personalization, it also creates ...
A recent study has revealed that specific patterns of gene activity serve as a hidden map that guides the complex wiring of the entire brain. By using machine learning to analyze mouse brain data, ...
From specialized motors to the use of machine-learning algorithms, Turkey’s billion-dollar hair-transplant industry is the result of a constant process of innovation.
Predicting observable traits from genetic variation remains difficult due to the complex interplay of multiple genes and environmental influences. Widely used statistical approaches are limited in ...
Abstract: Efficient task scheduling in cloud computing is critical to maintain the Quality-of-Service (QOS) while optimizing task allocation and reducing energy consumption. This paper proposes a ...
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