Text mining in big data analytics is emerging as a powerful tool for harnessing the power of
unstructured textual data by analyzing it to extract new knowledge and to identify significant …

Recent advances in neuroscience have paved the way to innovative applications that
cognitively augment and enhance humans in a variety of contexts. This paper aims at …

Ever since the dawn of antiquity, people have strived to improve their cognitive abilities.
From the advent of the wheel to the development of artificial intelligence, technology has …

The curation of neuroscience entities is crucial to ongoing efforts in neuroinformatics and
computational neuroscience, such as those being deployed in the context of continuing …

We examine trends in words/terms published in Health & Place between 1995 and 2018.
Terms used have diversified over this period, including a decline in 'health'overall, as well as …

Objectives Despite their essential role in collecting and organizing published medical
literature, indexed search engines are unable to cover all relevant knowledge. Hence …

This commentary summarizes our recent peer-reviewed Agency for Healthcare Research
and Quality (AHRQ) white paper EPC Methods: An Exploration of the Use of Text-Mining …

Target identification for tractography studies requires solid anatomical knowledge validated
by an extensive literature review across species for each seed structure to be studied …

Among the numerous approaches developed to understand better, organize, and solve
diverse societal issues reaching the system equilibria, Systemic Constellations (SysC) play …

The skin, which is the largest organ of the human body, serves as a protective barrier
between the internal milieu and the environment. It functions as the body's first line of …