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Translational AI Laboratory

The Translational AI Laboratory (TrAIL) is the innovative research, development and implementation laboratory focused on advancing AI-driven laboratory medicine and clinical diagnostics. Located within the Division of Laboratories of Amsterdam UMC, the largest academic hospital in the Netherlands, it bridges cutting-edge AI technology with healthcare solutions. Situated in Amsterdam, a hub of innovation and entrepreneurship, TrAIL is revolutionizing diagnostics with AI-powered insights.

Translational AI focuses on turning research and data into real-world clinical tools and treatments. It bridges the gap between scientific discoveries and everyday patient care, helping doctors make better decisions. AI supports doctors in making more informed, evidence-based decisions for better patient outcomes. Laboratory medicine is crucial for clinical decision-making, accounting for about 60-70% of all medical decisions. Laboratory tests provide essential data on diagnoses, monitor disease progression, and evaluate treatment effectiveness.

NEWS

PhD vacancy!

March 24, 2025

Within #laboratory medicine we are working hard to improve diagnostics. #Artificial #Intelligence…

New publication!

March 5, 2025

The journey of more than 80% of patients diagnosed with lung cancer…

Interview with Martijn

January 23, 2025

As a risk and prediction model, as decision support for the physician,…

New publication!

January 9, 2025

This study demonstrates an innovative approach to applying machine learning to ultra-rare…

Dr. Daniel!

December 17, 2024

Daniel Daza’s research focused on improving how computers understand and use large,…

Dr. Sjors!

November 30, 2024

Dr. In t’ Veld’s work represents a pivotal advancement in the field…

Moonshots

We have envisioned long-term moonshots for translational AI in laboratory medicine that come forth from bold thinking about out-of-the-box solutions to transform healthcare. These projects are driven by our diverse and unique combination of talents and skills.

AtlasMD

We have a shared hope to develop a system that enables a clinician to engage in real-time dialogue with an AI bot to review and analyze the entirety of a a patient’s health history, lab results, and other relevant data during a single visit. The clinician can iteratively refine questions, probe the AI for specific patterns or insights, and co-develop a risk assessment or preliminary diagnosis on the spot.

Omniself

We hope to build an AI system that can collect comprehensive multi-modal data to establish a patient’s baseline. We will establish this baseline through repeated measurements, compare the data to population norms, integrate wearable data from your common, everyday technology such as your smartphone and smart watch and use machine learning tools to build your unique health profile to establish thresholds for abnormalities.

RESEARCH

TrAIL is a multidisciplinary laboratory where we advance scientific findings and translate these findings into actionable information and insights. We leverage state-of-the-art AI and world-class expertise in medicine to rethink what is possible for the future of healthcare. TrAIL specializes in cutting-edge AI research in clinical diagnostics (TRL1-3), and the development and innovation of advanced AI technologies in medicine (TRL 4-6). We actively drive implementation of these solutions into real-world clinical applications, ensuring their effectiveness, efficiency and scalability (TRL 7-9).

PROJECTS

Our research projects span the full spectrum of AI development, from simple to complex models, covering all stages from TRL 1 to TRL 9. We focus on creating AI solutions that address a variety of medical domains, ensuring innovation from basic research to real-world implementation.

EXCELERATE

Foundation Model Development for Advanced Full Blood Count Analysis

BloodCounts!

The Full Blood Count (FBC) is an essential test used to inform medical decision-making. It…

LabGPT

Clinical prediction models are potentially effective, but very limited in a medical sense [Moor et…

ACCENT

The study of relationships between genes and diseases is a focus area with applications ranging…

OPERATIONS

We manage operations including data management, model governance, quality assurance and control, AI lifecycle management, and ethical/legal/societal aspects and impact.

Governance

We have expert knowledge about clinical data management, model governance and high-performance computing to ensure efficient research and analysis. We integrate electronic health records (EHR), laboratory information systems (LIS) and extramural data. Leveraging advanced computational resources, we design workflows enabling data-driven medical decision-making.

Quality

We prioritize quality assurance and quality control (QA/QC) by adhering to key regulations such as IVDR, MDR, GDPR, and the AI Act, as well as relevant ISO standards. We employ robust ML-Ops design methods to manage the AI model lifecycle, ensuring compliance, traceability, and reproducibility.

Impact

We maintain a strong awareness of the ethical, legal, and societal implications (ELSI) of AI throughout all our work in clinical diagnostics. We prioritize fairness, transparency, and accountability, thereby ensuring that our AI models uphold patient privacy, minimize biases, and comply with regulatory standards.

Team

We are a multidisciplinary group comprising faculty, research staff, postdocs, PhD students, and research analysts, dedicated to healthcare research across different medical domains. We are curious, dedicated, and ambitious, always striving to push boundaries and innovate. Our passion for advancing healthcare drives us to work collaboratively and make lasting societal impact. Our multidisciplinary approach combines the strengths of each field, ensuring innovative solutions. With professionals from clinical settings, technical fields, and clinical diagnostics, we bridge gaps and create impactful advancements.