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.
The RAG ingestion problem In real-world RAG systems, the quality of the final answer is constrained by the quality of the indexed representation. If the ingestion layer fails to capture...
Institution-scale medical reasoning: what the field is actually learning There is a version of the institution-scale clinical reasoning story that is easy to tell: AI systems that continuously reason over...
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...
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