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Supporting the Circular Economy with a Next-Gen Testing Lab

Supporting the Circular Economy with a Next-Gen Testing Lab

Driven by lessons learned from inefficient workflows, UW–Stevens Point's new Compostability Testing Laboratory combines user-centered design, flexible infrastructure, and specialized testing environments to create a more efficient and adaptable research facility

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How Early Collaboration Shapes High-Performance Research Facilities

How Early Collaboration Shapes High-Performance Research Facilities

Early, intentional collaboration—through stakeholder alignment, iterative engagement, and thoughtful programming—enables lab projects to move beyond basic requirements and deliver flexible, high-performing research environments that stay on schedule, on budget, and aligned with user needs

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Engineering a CLIA-Ready Lab for Next-Gen Cancer Testing

Engineering a CLIA-Ready Lab for Next-Gen Cancer Testing

Beken Bio’s newly opened laboratory at the New Orleans BioInnovation Center integrates a CLIA-ready, workflow-driven design within an incubator environment to advance its blood-based ovarian cancer test, prioritizing flexibility, reduced variability, and close collaboration between R&D, clinical, and quality teams to accelerate assay development and future commercialization

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From Vision to Reality: USU Eastern Opens New Paleontology Lab

From Vision to Reality: USU Eastern Opens New Paleontology Lab

USU Eastern’s lab management team led a largely hands-on, user-driven renovation that transformed an outdated fossil preparation space into a modern, flexible, safety-focused laboratory that actively engages both users and public observers while strengthening scientific workflow and visibility

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Logical Workflow Solutions for Labs: Designing Around How Work Happens in Real Life

Logical Workflow Solutions for Labs: Designing Around How Work Happens in Real Life

Laboratory designs often fall short when early decisions are made without direct input from end users, leading to subtle but persistent workflow inefficiencies that could be avoided by understanding and prioritizing real-world processes from the outset

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