Machine intelligence identifies soluble TNFa as a therapeutic target for spinal cord injury.

ABSTRACT: Traumatic spinal cord injury (SCI) produces a complex syndrome that is expressed across multiple endpoints ranging from molecular and cellular changes to functional behavioral deficits. Effective therapeutic strategies for CNS injury are therefore likely to manifest multi-factorial effects across a broad range of biological and functional outcome measures. Thus, multivariate analytic approaches are needed to capture the linkage between biological and neurobehavioral outcomes. Injury-induced neuroinflammation (NI) presents a particularly challenging therapeutic target, since NI is involved in both degeneration and repair. Here, we used big-data integration and large-scale analytics to examine a large dataset of preclinical efficacy tests combining five different blinded, fully counter-balan

SUBMITTER: Huie JR 

PROVIDER: S-EPMC7873211 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature