# A strategic approach to multi-omics literature retrieval in next generation mammalian cell bioprocessing

## TL;DR

This paper explores how to efficiently find relevant scientific literature in the rapidly growing field of mammalian cell bioprocessing.

## Contribution

The paper introduces a strategic framework for refining literature searches in multi-omics research.

## Key findings

- Literature retrieval is becoming more complex due to the exponential growth of scientific publications.
- Maintaining search sensitivity and specificity is crucial in multi-omics research contexts.
- A strategic approach is needed to manage the diversity and volume of information in bioprocessing research.

## Abstract

Scientific literature is being published at an exponential rate, including in the field of mammalian cell bioprocessing. At the same time, the research landscape is becoming more diverse, with the emergence of multiple specialised subfields. This rise in information availability as well as broadening of research fields has a direct impact on ease of information retrieval. While this growth offers valuable insights, it also makes information retrieval more complex. Developing effective literature search queries has become increasingly challenging. This work discusses the process of literature query search refinement and the nuances of maintaining search sensitivity and specificity in the context of multi-omics research for next-generation mammalian cell bioprocessing.