Embedded Scientific Expertise Accelerates 20+ Projects at a Leading Research Institute
Overview BioTeam provided embedded scientific and technical support to researchers at a leading NIH institution, bridging the gap between complex biological data and actionable scientific insight. Over the course of a multi-year engagement, BioTeam delivered ad hoc troubleshooting and sustained project collaborations, enabling researchers to successfully complete more than 20 high-impact research projects. Our support […]
A Scientific Engineer at BioTeam Contributes to Retinal Imaging Research with NIH
Jacob Czech BioTeam’s Jacob Czech contributed to a peer-reviewed research article published in Frontiers in Cellular Neuroscience, in collaboration with researchers from the National Eye Institute (NEI) at the National Institutes of Health (NIH) and partner institutions. The publication, titled “Evaluation of retinal structure changes with AI-based OCT image segmentation for sodium iodate induced retinal […]
AI Readiness Assessment and Modernization Roadmap for Biomedical Data Infrastructure
Summary BioTeam partnered with a biomedical research institution within the National Institutes of Health (NIH) to assess its existing data infrastructure and develop a strategic roadmap for integrating artificial intelligence capabilities into its large-scale biomedical data repositories and services. As a steward of globally significant biomedical data resources, the organization sought to ensure its […]
Initiative Development and Strategic Planning at NIH
Summary The NIH Office of Data Science Strategy (ODSS) sought to support the community development of a standard set of capabilities, services, metrics, and infrastructure across NIH-supported repositories to simplify the sharing and reuse of data. BioTeam oversaw the NIH’s Generalist Repository Ecosystem Initiative (GREI) from its inception through the completion of its first three […]
Workshop to Build Community Guidelines for Ethical AI/ML in Research
The NIH Office of Data Science Strategy (ODSS) sought to develop practical and trusted guidelines for the ethical use of AI/ML in biomedical and behavioral research.