Editor’s note: The following was posted on LinkedIn by Jose Cleydson Ferreira Silva, PhD, Postdoctoral Research Associate, University of Florida
“As research in space biology continues to grow, scientific knowledge is becoming increasingly fragmented. In this work, we introduce the SpaceBio Knowledge Hub (https://www.spacebio.space), an AI-powered platform that integrates scientific literature, data resources, and STEM initiatives into a unified knowledge ecosystem.
Our work also introduces LiteratOmics, a new framework that combines literature mining, natural language processing, and AI to transform scientific publications into structured, searchable, and interconnected knowledge. The platform supports researchers, educators, students, and citizen scientists while promoting collaboration and accelerating discoveries in microgravity, space biology, and human space exploration.
Many thanks to my co-authors for their collaboration and support. I look forward to your feedback and future collaborations.
[biorxiv.org] Space biology literature is growing exponentially. Existing infrastructure has not kept pace with organizing, synthesizing, and disseminating this knowledge. We present SpaceBio SpaceBio Knowledge Hub (www.spacebio.space), an integrated digital ecosystem that combines artificial intelligence, real-time data integration, and open-access infrastructure to advance research, education, and collaboration in microgravity, space biology and space exploration.
The platform applies AI-driven approaches including natural language processing, machine learning, and automated content generation to construct a semantic atlas of the field. The atlas reveals the hierarchical thematic organization underlying microgravity-induced biological responses, space mission infrastructure, planetary science, and astrobiology.
As part of this effort, SpaceBio is moving toward the construction of a LiteratOmics framework for microgravity, and space biology a systematic, AI-enabled approach to mining, integrating, and structuring the primary literature generated by omics-driven spaceflight research, treating the scientific literature itself as a navigable data layer alongside genomic, transcriptomic, and proteomic datasets.
AI-driven semantic organization of biological domains within the SpaceBio landscape. Three-dimensional embeddings reveal relationships among key biological domains in space research. A prominent cluster of spaceflight-induced responses (C11), including microgravity adaptation and radiation processes, is closely linked to a molecular biology domain (C15) defined by cellular signaling and gene expression. In contrast, an astrobiology-related region (C27), focused on meteoritics and planetary geology, remains more distinct. The proximity of C11 and C15 highlights strong links between spaceflight stressors and molecular responses, while the separation of C27 reflects its specialized focus. These patterns show how AI-based analysis captures the structure and connectivity of Space Biology across the space science ecosystem. — biorxiv.org
Built on a scalable, cloud-based architecture with a user-centered interface, SpaceBio supports literature exploration, data integration, and knowledge discovery for researchers, educators, students, industry partners, and citizen scientists. The platform also functions as a community-building ecosystem.
It integrates hands-on research initiatives, AI-generated educational content, pilot data science projects, and social responsibility programs that broaden participation without compromising scientific rigor. AI-enabled digital environments can transform fragmented literature into a navigable knowledge landscape. SpaceBio accelerates research productivity, strengthens STEM education, and supports the global space life sciences community as human space exploration enters in the most ambitious era.
Architecture of the SpaceBio Innovation Hub. The platform integrates Artificial Intelligence, Front End, Back End, and the SpaceBio STEM Community. AI supports data analysis, content generation, and decision-making. The Front End provides an accessible user experience. The Back End manages data, security, cloud services, and APIs. The STEM community connects researchers, educators, industry, government, and citizens to foster collaboration and innovation in space biology and related fields. — biorxiv.org
SpaceBio Knowledge Hub: A LiteratOmics Platform for Microgravity and Space Biology Research, biorxiv.org
Jose Cleydson F Silva, Arthur Vieira, Melinda S. Chue Donahey, Sirlane Maria do Carmo Silva, Tomas Veloso, Adilson Lopes, Nick Sexson, Richard Barker, D Marshall Porterfield, Carlos A. Silva, Raquel Dias. doi: https://doi.org/10.64898/2026.07.13.737239
Astrobiology, Space Biology, Space Medicine,
