DATA SCIENCE & ANALYTICS

DR. REGENOLD GMBH HAS PARTNERED WITH SAS TO DEVELOP BESPOKE SOLUTIONS WHICH USE ARTIFICAL INTELLIGENCE IN THE REGULATORY ENVIRONMENT

Data Science & Analytics

Dr. Regenold GmbH has entered into a strategic partnership with the analytics market leader SAS to provide organisations with tailored solutions to speed up time-consuming processes. Artificial intelligence, natural language processing, text mining and analytics on data, even if conveyed in multiple languages, all facilitate faster and more targeted knowledge retrieval which help automate processes.

The Regenold AI/Analytics team bridges the gap between regulatory and/or pharmacovigilance requirements and technology, supported by the highly innovative SAS platform.


It is increasingly important for your business to receive the information you are looking for in a speedy and precise manner. We speak your language and know the guidelines and regulations to retrieve and process targeted information as desired. We provide guidance on how to interpret your results and compile reports targeted to the needs of the various departments within your organisation. Some examples of analytics use cases include screening of literature articles, text mining for report automation and social media screening.


Safeguard public health – our contribution to the SAS EMEA Hackathon 2020

Earlier this year we took part in the SAS EMEA Hackathon 2020 which gave us an opportunity to explain the work we are doing in data science and analytics can help safeguard public health.

In order to safeguard public health, medicines regulatory agencies (e.g EMA, FDA, PMDA, TGA etc.) need ready access to comprehensive data about currently marketed products. This information is used to facilitate rapid response in situations where the health of patients might be at risk (e.g. the recent concerns over products containing valsartan). Data are derived from a wide range of sources, including a variety of document types in different formats and languages. The volume and complexity of data requested by regulators is constantly increasing.

At present, relevant data about licensed medicines are made available to regulatory databases by pharmaceutical companies through manual upload by human experts. This process is time-consuming and resource intensive. Our aim at Dr.Regenold is to automate information gathering for upload into regulatory databases, thus reducing the burden for industry, while contributing to the safe use of medicines.

Please watch the video we produced on this topic and entered into the SAS EMEA Hackathon:




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