RegenX: an NLP recommendation engine for neuroregeneration topics over time.

ABSTRACT:

Background

In this investigation, we explore the literature regarding neuroregeneration from the 1700s to the present. The regeneration of central nervous system neurons or the regeneration of axons from cell bodies and their reconnection with other neurons remains a major hurdle. Injuries relating to war and accidents attracted medical professionals throughout early history to regenerate and reconnect nerves. Early literature till 1990 lacked specific molecular details and is likely provide some clues to conditions that promoted neuron and/or axon regeneration. This is an avenue for the application of natural language processing (NLP) to gain actionable intelligence. Post 1990 period saw an explosion of all molecular details. With the advent of genomic, transcriptomics, proteomics

SUBMITTER: Khosla S 

PROVIDER: S-EPMC9531894 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature