Category: Biomedical Data
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Agent in YOLO Mode
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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 threshold: AI assistants stopped being passive autocomplete helpers and began acting like semi‑autonomous agents. The…
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Federated Data Platforms vs. Data Visiting Technologies
What technologies and methods enable the access and analysis of sensitive data using AI/ML, while preserving data privacy and avoiding centralization? That’s the challenge federated data and data visitation technologies aim to solve. But are they the same thing? Not quite. This post will break down the key differences, explore their respective applications, and provide…
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Dataset Digital Twin in Biomedical Research
Imagine a holographic view of a patient—a Biomedical Digital Twin—reflecting their unique physiology, lifestyle, and medical history. This isn’t science fiction; it’s a rapidly evolving field transforming healthcare and research. This article explores various types of digital twins and their applications, with a focus on dataset digital twins. Types of digital twins in biomedical research…
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Part 2: OntoGPT for AI-Driven Annotation of Biomedical Papers
In Part 1, we introduced a brief experiment using ChatGPT to extract specific metadata from an open-source scientific journal publication and map it to BioPortal classes. In Part 2, we will share the results of our tests with OntoGPT. To conduct larger biomedical studies, it’s essential to integrate and harmonize datasets from various sources. This…