News
Building the foundation for AI-ready next-generation labs: The lab of the future is here.
2026
Life science organizations seeking to accelerate the discovery of new therapies and diagnostics need AI-ready data foundations, particularly for laboratory data. Deloitte’s Lab of the Future solution, developed in collaboration with AWS, helps transform siloed instrument data into reusable data products through intelligent data pipelines. By automatically parsing and standardizing laboratory data into models such as the Allotrope Simple Model (ASM), the solution enables faster insights, improved compliance, and better data accessibility.
Read the article at Deloitte.
From Data Silos to Data Intelligence: How Open Standards Like Allotrope Are Transforming Scientific Innovation
May 25, 2026
In modern life sciences, innovation is often limited not by experimentation but by data fragmentation. Laboratories generate massive volumes of analytical data, yet much of it remains isolated, inconsistent, and underutilized, making it difficult to derive insights and scale AI-driven research. This is where open data standards like the Allotrope Foundation come into play—helping reshape how scientific data is structured, shared, and activated.
Read the article at texium solutions.
Highlights from the 2026 AWS Life Sciences Symposium: Research and Drug Discovery
May 20, 2026
At the 2026 AWS Life Sciences Symposium, AWS highlighted how agentic AI, unified scientific data foundations, and connected laboratory workflows are transforming research and drug discovery. The symposium showcased how organizations are building AI-enabled, lab-in-the-loop environments that connect experimental and computational workflows. AWS also demonstrated AI-assisted development of instrument data converters, achieving a 100% pass rate for Allotrope Simple Model (ASM) format conversion in its evaluation, helping accelerate laboratory data standardization and interoperability.
Read the full report on AWS Blogs.
Federated Semantic Knowledge Graphs for Laboratory Workflows: A Structured Expert Elicitation Methodology Demonstrated Through Bioanalytical Workflow Twins
May 15, 2026
ZONTAL Studio - ASM Language Features
May 4, 2016
ZONTAL has released ZONTAL Studio – ASM Language Features, a Visual Studio Code extension designed to simplify the creation, editing, and validation of ASM files. The extension provides rich language support for ASM, including syntax highlighting, IntelliSense, schema-driven validation, hover documentation, document formatting, and navigation features. By leveraging ASM manifests, users receive real-time guidance and validation against Allotrope specifications, helping improve data quality and development efficiency.
The extension is available free of charge through the Visual Studio Marketplace and can be installed directly from the marketplace listing. Please refer to: ZONTAL Studio - Allotrope Simple Model (ASM) Language Features - Visual Studio Marketplace
From FAIR Data to Real Lab Impact
April 20, 2926
In a recent Ask the Expert Q&A, Kyle Larsen of USP discusses how FAIR data principles can help laboratories improve the value and usability of their data. He emphasizes that FAIR should not be treated as a separate data initiative, but rather as a natural outcome of adopting well-governed digital standards that support quality, compliance, and interoperability from the start. Larsen notes that standards such as Allotrope help establish the foundation needed to make scientific data more findable, accessible, interoperable, and reusable, and states that this foundation also enables AI and machine learning (ML), as well as future data structures.
Read or listen the Q&A on Ask the Expert, Lab Manager.
Lab Interoperability Using the ASM JSON Format
April 16, 2026
In today’s data-driven life sciences landscape, laboratories generate massive volumes of complex, heterogeneous data across instruments, systems, and platforms. One of the biggest challenges remains how to make this data seamlessly usable across the ecosystem. The answer lies in lab interoperability and increasingly in standardized frameworks like the Allotrope Simple Model (ASM) JSON format.
Read the article at texium solutions.
The 'allotropy' library enables AI agents to seamlessly standardize raw laboratory instrument data into the Allotrope Simple Model (ASM)
The Laboratory Automation Plug and Play (LAPP) Framework – The Case for Standardization in Research and Development and Quality Control Laboratories
February 13, 2026
The Laboratory Automation Plug-and-Play (LAPP) framework proposes a standardized, modular approach to laboratory automation that enables seamless integration of instruments, robotics, software, and data systems across R&D and QC laboratories. Built on common architectures, interoperability standards, digital twins, and shared semantics, LAPP aims to reduce integration complexity, improve scalability, and support compliant, data-driven laboratory operations. The framework also highlights the role of the Allotrope Foundation data standards as key enablers of interoperable, semantically enriched laboratory data exchange, helping establish a common digital language for plug-and-play laboratory automation.
Read the blog in the ISPE (The International Society for Pharmaceutical Engineering), Pharmaceutical Engineering, iSpeak Blog.
Modern solutions for connecting instruments to insights: Flow cytometry
2026
In Modern Solutions for Connecting Instruments to Insights: Flow Cytometry, Deloitte describes how automated, cloud-based workflows can improve flow cytometry data capture, management, and analysis. The article highlights the use of the Allotrope Simplified Model (ASM) for instrument data to standardize key attributes, helping make data more interoperable, reusable, and ready for advanced analytics and AI applications.
Read the article at Deloitte.
Optimizing Pharmaceutical Operations: A Deep Dive into an E2E Request-to-Result Workflow
2026
Standardized end-to-end (E2E) Request-to-Result laboratory workflows can improve efficiency, reduce operational complexity, and strengthen data consistency across pharmaceutical organizations. The blog emphasizes that aligning laboratory processes across the full E2E chain enables better interoperability, automation, and data reuse, with the Allotrope Simple Model (ASM) supporting standardized, vendor-agnostic data exchange across systems.
Read the blog at SciY.