Transforming healthcare towards more personalized medicine



Healthcare providers generate vast amount of unstructured health data which is also decentralised and unanalyzed; Difficult to understand how patients are responding to drugs and treatment in the real-world or what is the the particular patient populations; Hospitals lack the capacity to apply technologies like Big Data and AI

- these are some of the major challenges in the healthcare industry today.


Sqilline Health provides innovative and affordable healthcare solution based on the in-memory SAP HANA database technology. Its big data analytics capabilities help connect data silos and analyse huge amounts of disparate, genеtic and other patient data in real-time, turning it into real-time insights and action.

Our technology solutions improve linking of patient unique characteristics data – genome sequence, health history, lifestyle – and help develop tailored treatments which increase the life expectancy of patients.

Danny Platform

A powerful analytics platform to evaluate real-world treatment outcomes

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Industry News & Highlights


Danny Analytics: A digital tool to enhance screening & early diagnosis for Rare Disease patients

Rare Diseases Are Not So Rare! There are about 7,000 different rare diseases that affect an estimated 30 million people in the United States. In Europe, a disease...



AI-enabled prediction of clinical outcomes, based on RWD from EHRs

What is Artificial intelligence (AI) in healthcare? It refers to the ability of a machine to perform tasks commonly associated with intelligent human behavior without...



Clinical data extraction and normalization of Cyrillic EHR via deep-learning NLP

In this era of value-based care, digitalization and accurate data extraction of unstructured text from multilingual EHRs is vital and presents a real challenge for...


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patient care.

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