Background Systems biology research typically involves the integration and analysis of
heterogeneous data types in order to model and predict biological processes. Researchers …

Despite the clear benefits that nanotechnology can bring to various sectors of industry, there
are serious concerns about the potential health risks associated with engineered …

Collecting, curating, interlinking, and sharing high quality data are central to de. NBI-SysBio,
the systems biology data management service center within the de. NBI network (German …

The use of controlled, structured vocabularies (ontologies) has become a critical tool for
scientists in the post-genomic era of massive datasets. Adoption and integration of common …

Objective: Only reproducible results are of significance to science. The lack of suitable
standards and appropriate support of standards in software tools has led to numerous …

Abstract Background The promise of Big Biomedical Data may be offset by the enormous
challenges in handling, analyzing, and sharing it. In this paper, we provide a framework for …

Although medical science has been fully developed, due to the high heterogeneity of triple-
negative breast cancer (TNBC), it is still difficult to use reasonable and precise treatment. In …

As artificial intelligence (AI) integrates within the intersecting domains of healthcare and
computational biology, developing interpretable models tailored to medical contexts is met …

Abstract The Comprehensive Sturgeon Research Project is a multiyear, multiagency
collaborative research framework developed to provide information to support pallid …

In recent years, the term personalized medicine has received more and more attention in the
field of healthcare. The increasing use of this term is closely related to the astonishing …