Qualitative Bioinformatics: Towards a Public Understanding of Neurodegenerative Disease Research through BioArt, Data-Art, Hands-on BioMedia Workshops, Immersive Environments, and Artists in Labs

Adv Exp Med Biol. 2023;1425:663-664. doi: 10.1007/978-3-031-31986-0_64.ABSTRACTNeurodegenerative disease (ND) research is producing new pharmaceutical compounds for chronic diseases utilizing bioinformatics. Algorithmic data mining of high-throughput omics systems is conjoined with the study of the in vitro dynamics of protein folding through visualization techniques, i.e., Bio-AFM. Novel models of disease pathway diagrams are being produced and the processes are in place to enhance the validation of these models. From bench work to BLAST to bedside, globally standardized research is led by collaborative clusters, working on cloud-based platforms, with crowd sourced human cohort collections, pairing pure, curiosity-based neurological research with deep learning data analysis techniques. ND research is leading the way towards clinical applications for preventing, curing, or ameliorating major diseases of neurological dysfunction, such as Alzheimer's disease (AD) and Parkinson's disease (PD).Most of this is too complex for the average citizen to comprehend. Can bioart and data-art contribute to the public understanding of genome sequencing and bioinformatics databases in the context of ND research? Informal studies towards demystifying bioinformatics through creative practices have been tested, revealing significant qualitative benefits for public well-being while introducing bioinformatics databases, for instance, previous projects: the VASTAL Bioinformatics and Literary Studi...
Source: Adv Data - Category: Epidemiology Authors: Source Type: research