Data Science & Analytics

regenold has an experienced team of data scientists and a validated AI platform, including SAS and open source, geared towards custom development of tailored solutions in the life sciences, including GxP and medical device areas.

regenold GmbH has a strategic partnership with the analytics market leader SAS to provide our clients with tailored solutions to speed up time-consuming processes. We apply state of the art technologies such as artificial intelligence, natural language processing, text mining and analytics on data in multiple languages. Our solutions are aimed at facilitating faster and more targeted knowledge retrieval which help automate processes.

The regenold data science and analytics team bridges the gap between regulatory 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 towards your requirements.

Regenold AI support span R&D through commercial. Some of our focus areas are:

  • Digital diagnostics
  • Business analytics for critical insights into drug and device development stages
  • Automation of regulatory processes
  • Market analysis & decision support
  • Clinical decision making

We address the following needs:

Safeguard public health – our contribution to the SAS EMEA Hackathon

Recently, we took part in the SAS EMEA Hackathon which gave us an opportunity to explain the work we are doing in data science and analytics that 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 regenold GmbH 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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