Fermenting the future - on the benefits of a bioart collaboration.

FEMS Yeast Res

Institute of Microbiology and Microbial Biotechnology, Department of Biotechnology, University of Natural Resources and Life Sciences, Vienna (BOKU), 1190 Vienna, Austria.

Published: January 2024

AI Article Synopsis

Article Abstract

In this article we explore the intersection of science and art through a collaboration between us scientists and the bioartists Anna Dimitriu and Alex May, focusing on the interface of yeast biotechnology and art. The collaboration, originally initiated in 2018, resulted in three major artworks: CULTURE, depicting the evolution of yeast and human societies; FERMENTING FUTURES, illustrating a synthetic autotrophic yeast and its link to lactic acid production; and WOOD SPIRIT-AMBER ACID, inspired by the VIVALDI project targeting CO2 reduction to methanol. We emphasize the reciprocal nature of the collaboration, detailing the scientific insights gained and the impact of artistic perspectives on us as researchers. We also highlight the historical connection between art and science, particularly in the Renaissance periods, and underscore the educational value of integrating art into science not only to support public engagement and science dissemination, but also to widen our own perceptions in our research.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10852986PMC
http://dx.doi.org/10.1093/femsyr/foae004DOI Listing

Publication Analysis

Top Keywords

art collaboration
8
art science
8
fermenting future
4
future benefits
4
benefits bioart
4
collaboration
4
bioart collaboration
4
collaboration article
4
article explore
4
explore intersection
4

Similar Publications

Background: Segmentation models for clinical data experience severe performance degradation when trained on a single client from one domain and distributed to other clients from different domain. Federated Learning (FL) provides a solution by enabling multi-party collaborative learning without compromising the confidentiality of clients' private data.

Methods: In this paper, we propose a cross-domain FL method for Weakly Supervised Semantic Segmentation (FL-W3S) of white blood cells in microscopic images.

View Article and Find Full Text PDF

This study aims to explore the current state of research and the applicability of artificial intelligence (AI) at various stages of post-traumatic stress disorder (PTSD), including prevention, diagnosis, treatment, patient self-management, and drug development. We conducted a bibliometric analysis using software tools such as Bibliometrix (version 4.1), VOSviewer (version 1.

View Article and Find Full Text PDF

Introduction: Diabetic retinopathy (DR) has long been recognized as a common complication of diabetes, making accurate automated grading of its severity essential. Color fundus photographs play a crucial role in the grading of DR. With the advancement of artificial intelligence technologies, numerous researchers have conducted studies on DR grading based on deep features and radiomic features extracted from color fundus photographs.

View Article and Find Full Text PDF

Background: Conventional medical management, while essential, cannot address all multifaceted consequences of Parkinson's disease (PD). This pilot study explores the potential of a co-designed creative arts therapy on health-related quality of life, well-being, and pertinent non-motor symptoms.

Methods: We conducted an exploratory pilot study with a pre-post design using validated questionnaires.

View Article and Find Full Text PDF

Background: Embryologists are crucial in assisted reproductive technology (ART), yet their duties, education, and licensing requirements vary significantly across countries, complicating the determination of optimal staffing levels in ART laboratories. With anticipated advancements such as automation in ART laboratories, this review comprehensively analyzes factors necessary for appropriate future staffing.

Main Findings: A comprehensive literature search was conducted using PubMed to identify relevant articles up to July 2024, employing keywords such as "embryologist," "staffing," and "certification.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!