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.
What is a medical reasoning engine and how does it differ from search? Medical reasoning engines, powered by advanced large language models (LLMs), represent a new generation of clinical decision...
Oncology has always depended on multidisciplinary tumor boards (MTBs) to interpret complex, multimodal data, such as pathology reports, radiology findings, genomic profiles, prior treatments, patient history, and synthesize this information...
When Guidelines Central partnered with John Snow Labs to match patients with clinical guidelines from 35+ medical societies, the technical challenge was not generating recommendations. Large language models can produce...
When GE Healthcare's EDISON platform needed to transform radiology report processing for pharmaceutical partners, the engineering challenge extended far beyond extracting clinical findings from unstructured text. The real problem emerged...
Large language models generate fluent clinical summaries and answer medical questions impressively. But when healthcare organizations need to extract structured data from millions of clinical notes with reproducible accuracy, regulatory...
Demos
See More