Insights into FAIR and Analyzable Data
Quality-controlled biomedical data, analyzed by AI/ML, holds the key to unlocking new treatments and cures.
It starts with the data.
FAIRLYZ Blog: Data Workflows in the Era of AI
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Rethinking Tech Assessments in the Agent Era
If you’re modernizing a research workflow, building a data platform, or trying to understand where AI fits in your technical environment, this new white paper will give you a meaningful head start.
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Agent in YOLO Mode
In 2026, even the traditionally cautious GitHub Copilot in VS Code has clearly shifted toward greater agent autonomy, with features like (/autoApprove or /yolo). This evolution builds on a turning point from late 2024, when developer tools first crossed a…
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Part 2: Enhancing EHR Data Quality: Key Findings from Recent Studies
This post is Part 2 of our 2-part series on recent research studies looking at EHR data quality. Part 1 presented 3 studies from 2025, and Part 2 presents 2 more recent studies and a proposed technological shift that avoids…
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Part 1: Reactive vs. Proactive: The High Cost of Unvalidated EHR Data
Electronic Health Records were meant to be the backbone of modern healthcare and AI clinical prediction system. Instead, the 2025 research landscape paints a sobering picture. EHR data is incomplete, inconsistent, and often wrong at a scale that threatens clinical…
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Autonomous Agents Visiting Data
The Google AI Agents Intensive Course (5DGAI) debuted in March 2025 (First 5DGAI) and returned in November 2025 (second 5DGAI), offering developers a front-row seat to the rapid evolution of agentic systems. The First 5DGAI course focused on foundational skills:…
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Data Visiting and the Future of Inclusive Biomedical Research
In the age of AI-driven discovery, biomedical research is undergoing a quiet revolution—one that’s not just about faster algorithms or bigger datasets, but about rethinking how we access and share data across borders, institutions, and communities. The Geographies of Trust…
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Data Visiting in Patient-Controlled Health Wallets
Back in 2019, we ran a project we called “Symphony” alongside three blockchain pioneers, driven by a bold vision: to empower patients with full control over their health data through a personal data wallet. The goal was to let individuals…
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FAIR Data Trains
The FAIR Data Train is a data analysis approach that combines two key elements: As described in the LIFES Networking Meeting from December 2024: The FAIR Data Train approach was introduced as a domain-agnostic system designed to enhance automated interoperability…
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Has Generative AI Killed the PID Star? – PIDs Part 2
The role of Persistent Identifiers (PIDs) – those enduring signposts in the digital landscape – is facing a fascinating challenge from the rise of Generative AI. At a recent meeting of the Research Data Alliance (RDA) PID Interest Group, experts…
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The PID Paradox – PIDs Part 1
The digital age has ushered in an unprecedented era for scientific discovery, promising accelerated progress through open data sharing. Yet, beneath the surface of progressive policies and sophisticated technological solutions lies a potent psychological barrier: the fear of being “scooped.”…
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