Sample Management

Automating sample transport, processing, and storage maximizes efficiency and helps maintain stringent quality standards in biobanking processes 

Implementing solutions to improve turnaround time, sample traceability, fragmented data, and regulatory issues can help labs better meet industry standards

Integrated high-purity water systems can enhance accuracy, reduce downtime, and optimize workflows

Reference samples are the cornerstone of diagnostic development and help advance precision medicine initiatives

Deep learning and AI-based decisions are becoming increasingly reliable but remain far from being adapted to cancer diagnostics

Genomic information from the microbes in your gut may help with disease prevention, treatment, and monitoring

Increased production capacity for specimen collection will help clinical labs meet high testing demands

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Successfully designing a trial using self-collected samples requires early engagement with the clinical lab team

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