Julio Bonis is a data scientist working on Healthcare NLP at John Snow Labs. Julio has broad experience in software development and design of complex data products within the scope of Real World Evidence (RWE) and Natural Language Processing (NLP). He also has substantial clinical and management experience – including entrepreneurship and Medical Affairs. Julio is a medical doctor specialized in Family Medicine (registered GP), has an Executive MBA – IESE, an MSc in Bioinformatics, and an MSc in Epidemiology.
Why hospitals must be rebuilt around AI, not merely transformed Healthcare institutions are facing increasing pressures: workforce shortages, cost constraints, regulatory complexity, and digitally empowered patients. In this context, superficial...
What are vision‑language models and why do they matter for radiology? Vision‑language models (VLMs) are emerging as the connective tissue in radiology workflows: combining imaging data, textual reports, prior studies,...
Why data de‑identification is not optional in healthcare AI In healthcare AI, the cornerstone isn’t just smart models. It’s trusted data. Without rigorous de‑identification and governance, any AI initiative risks...
Why must medical‑AI systems be engineered for compliance and beyond? The EU AI Act classifies many healthcare AI systems; especially diagnostics, clinical decision support and device‑embedded AI as high‑risk, with extensive obligations...
Why is cancer registry automation no longer optional? Cancer registries underpin oncology research, population health, clinical trials and value‑based care. Yet many registries remain manual, with certified tumor registrars (CTRs)...
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