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 agentic AI marks a new era for healthcare data operations Healthcare organizations generate extraordinary volumes of data every day. Electronic health records, laboratory systems, imaging platforms, registries, clinical trial...
For the past few years, the dominant assumption in healthcare AI has been one of universality: that a sufficiently powerful general-purpose language model, properly prompted, could handle clinical tasks well...
When MiBA built their oncology data curation pipeline, the technical challenge extended far beyond processing individual data types. Their system needed to ingest 1.4 million physician notes and approximately 1...
A Step-by-Step Playbook for Digitizing Every Patient Touchpoint How forward-thinking health systems are using healthcare-native AI to connect every clinical and operational workflow, from admission to discharge and beyond. Introduction:...
Healthcare systems worldwide face a growing challenge: rising patient demand, aging populations, and limited human resources. Physician shortages, burnout, and administrative overload threaten care quality, access, and sustainability. Large Language...
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