Case studies

How LabTrace verifies and authenticates important medical data using Algorand in a world where AI forgery is rife

Written by Algorand Foundation | Nov 11, 2024 2:32:29 PM

 

“There is a general feeling around Artificial Intelligence... What is real data, what is processed data, what is fake data? I think blockchains and ledgers are probably the only way to go about it [authenticating data]. That is the biggest space; that’s where we are trying to move into.”

– Federico Turkheimer, Director of LabTrace 

The rapid evolution of AI and its ability to create and manipulate data, imagery, and information without much of a trace has rung alarm bells for many.  Algorand’s core belief is that blockchain can power a world where data has integrity, and LabTrace is using this technology in the fight against AI data manipulation.

LabTrace stands at the forefront of scientific data authentication, creating the first blockchain-powered system to verify research data and intellectual property. Led by Federico Turkheimer, Chair in Neuroimaging at King's College London's Institute of Psychiatry, the company brings deep expertise to solve research verification challenges that AI advancement has intensified.

The platform acts as a digital certification system that changes how research institutions protect their work. Using blockchain authentication on the Algorand network, LabTrace gives researchers tools to timestamp their work, protect their data, and track ownership across multiple organizations.

LabTrace functions as a digital record that helps scientists protect their complete research process, from raw data to final analysis. The system also builds permanent, verifiable records to support patent applications, sensitive patient data and scans, document research progress, and confirm proper credit in academic publishing. 

LabTrace addresses the rising need for reliable data verification as digital manipulation becomes more common in research with AI’s advancement.

Highlights

  • Used in the UNITY Project, a Bill & Melinda Gates Foundation-funded initiative using portable, low-magnetic field MRI scanners to assess brain health and development in babies and young children in low-resource settings.
  • The Academic Notebook: an open-source, on-chain notebook for universities, staff, and students to verifiably store their research, notes, data, and code, making them open and available to professors and supervisors. 

The Challenge

Scientific integrity continues to face serious threats in medical research. Each year, journals retract over 10,000 papers due to unreliable data. Digital tools and AI now make it simple to change and manipulate research data without leaving traces, threatening the foundation of medical progress.

Standard verification methods no longer work for today's research needs. Research centers struggle to share sensitive medical data across borders safely. When multiple research centers work together across different countries, cultural differences and trust issues block effective collaboration. 

Medical device manufacturers also worry about liability when others alter their data later. Without verification systems at the source, research companies can't protect themselves when others misuse data from their equipment.

Modern research partnerships have grown too complex for old documentation systems. Research teams find it challenging to track who owns what and who contributed which parts, especially in big projects across multiple institutions.

The Solution 

LabTrace solves these problems using blockchain authentication on Algorand, creating permanent records of scientific data as soon as it is created.

For ownership protection, LabTrace works as a digital lab book. Researchers timestamp their work, ideas, and inventions to create clear proof of when they made them. This helps most in group research projects, where the system records and verifies what each person contributed. When researchers apply for patents, they can prove exactly when they made their discoveries and how these developed over time.

Data protection starts right at the beginning. The UNITY project shows this well - when doctors use portable MRI scanners in rural areas, LabTrace verifies the scans instantly through Algorand, confirming the data’s authenticity before there is any chance for digital manipulation.

The integrity of the scientific process stands in capturing the data at the source, notarizing it and then creating a chain of evidence on blockchain that verifies all aspects of the process to the final product

The Results

LabTrace has made a strong impact on international medical research. The UNITY project, backed by the Bill & Melinda Gates Foundation, shows how the platform helps research centers work together. Centers that once worried about brain scan data manipulation now do so with confidence because LabTrace tracks where the data comes from and how it's used. 

Apart from its use in medical research and pharmaceuticals, LabTrace is venturing into Academia with its LabBook initiative. LabBook enhances research tools like Overleaf, Dataled, and GitHub, making documentation easier while keeping strict verification standards.

The Lab Book is an academic project that improves upon traditional lab books, which have been integral to research students for decades. The traditional lab book was an old-fashioned way to certify your work and allow your professors access to your research, but LabTrace’s version digitizes and makes them transparent.

LabTrace also proves its value in protecting medical device manufacturers by verifying data from their scanning equipment. This protection from later data changes could set new standards in medical device verification.

The system works well across five UNITY project sites, with plans to expand to ten. This growth shows that LabTrace can handle complex research needs across multiple centers. Using Algorand's blockchain, which can process 10,000 transactions per second with instant finality, LabTrace can meet the needs of large-scale medical research.

LabTrace has already helped restore trust in research findings by solving key problems in data verification, supporting scientific progress, and advancing Web3 use cases in today’s modern world.

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