Big data analysis has found applications in many industries due to its ability to turn huge
amounts of data into insights for informed business and operational decisions. Advanced …

As researchers are increasingly able to collect data on a large scale from multiple clinical
and omics modalities, multi-omics integration is becoming a critical component of …

Background In return for their nutritional properties and broad availability, cereal crops have
been associated with different alimentary disorders and symptoms, with the majority of the …

Extracting the relations between medical concepts is very valuable in the medical domain.
Scientists need to extract relevant information and semantic relations between medical …

Abstract Knowledge about the interactions between dietary and biomedical factors is
scattered throughout uncountable research articles in an unstructured form (eg, text, images …

The increasing use of big data within the economics field has led academics and
professionals to broaden the investigation of its consequences in corporate decision-making …

Discover relevant biomedical interactions in the literature is crucial for enhancing biology
research. This curation process has an essential role in studying the different processes and …

Extracting biological interactions from published literature helps us understand complex
biological systems, accelerate research, and support decision-making in drug or treatment …

Background Alzheimer's disease, the most common form of dementia, accounts for 60–80%
of cases and its prevalence is projected to increase as aging populations grow. By 2050, the …

In the food domain, text mining techniques are extensively employed to derive valuable
insights from large volumes of text data, facilitating applications such as aiding food recalls …