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Data science: unraveling bits and bytes to optimize healthcare

Data science: unraveling bits and bytes to optimize healthcare

Data without science are just 1s and 0s floating around, waiting for someone to make sense of them. Data science is the process of extracting value from data using advanced analytics tools. The generated value is then used by us to serve patients better and faster.


Unlocking complex data to increase value

From early discovery over manufacturing, logistics, and supply chain, all the way to the clinic: the revolution in data science is impacting every step on the path to new treatments. By bringing together artificial intelligence (AI) tools, such as machine learning, data science lets you extract the information you can’t access with regular statistics. Either because the data sets are enormous and disordered or because the data is qualitative instead of quantitative (as is the case for medical imaging). Data science creates new insights and optimizes processes far beyond what was previously thought possible.

At Janssen, we use data science to optimize healthcare.

Data science, from early discovery to manufacturing

One of the main areas in the pharmaceutical industry where data science has an enormous impact is the early discovery of drugs. This step is often about finding patterns, a task that computers can do better than any person (particularly for data sets too large, complex, or detailed for a human brain to process). It has always been our priority at Janssen to find new treatments and improve existing ones, continuously tackling unmet medical needs. We can optimize and enhance research by leveraging AI tools, shortening timelines, and accelerating onset and development of innovation.

Pieter Peeters, Senior Director of Therapeutics Discovery, explains: “The pharmaceutical industry has collected mountains of data over the years, and today we can start leveraging them to the full extent with the help of data science. The increase in quantity and quality of the data, combined with robust deep learning algorithms and improved computer technology, leads the AI revolution. We take full advantage of the tools at our disposal and integrate them into our daily work.”

Read this article to find out how Janssen uses AI to speed up the drug development process.

Besides drug development, data science is also used to optimize supply chain processes. These can be optimized before real-life implementation, improving coordination and efficiency, which helps getting vaccines and medicines to patients faster.

Bart Vannieuwenhuyse, Senior Director of Data Science, is excited about how data science can improve our work: “In almost all aspects of our organization, data science presents us with complementary tools that can significantly improve results and optimize everyone’s time. By incorporating data science into our work, we can maximize our impact and better serve the patients’ needs.”


EM-115676 - apr -2023