Over the past decade, CRISPR has become as much a verb as it is an acronym,
transforming biomedical research and providing entirely new approaches for dissecting all …

Gene editing stands for the methods to precisely make changes to a specific nucleic acid
sequence. With the recent development of the clustered regularly interspaced short …

CRISPR gene editing holds great promise to modify DNA sequences in somatic cells to treat
disease. However, standard computational and biochemical methods to predict off-target …

Gene editing that makes target gene modification in the genome by deletion or addition has
revolutionized the era of biomedicine. Clustered regularly interspaced short palindromic …

Machine learning methods have been remarkably successful for a wide range of application
areas in the extraction of essential information from data. An exciting and relatively recent …

The advancement of precision medicine in medical care has led behind the conventional
symptom-driven treatment process by allowing early risk prediction of disease through …

The use of artificial intelligence, and the deep-learning subtype in particular, has been
enabled by the use of labeled big data, along with markedly enhanced computing power …

The environment is contaminated by synthetic contaminants owing to their extensive
applications globally. Hence, the removal of synthetic pollutants (SPs) from the environment …

Abstract Machine learning provides researchers a unique opportunity to make metabolic
engineering more predictable. In this review, we offer an introduction to this discipline in …

The innovation of biotechnologies has allowed the accumulation of omics data at an
alarming rate, thus introducing the era of 'big data'. Extracting inherent valuable knowledge …