Latest Posts



Jun 23

Strategic partnership announcement: Innoplexus holding company Partex NV is pleased to announce a one-of-its-kind collaboration with Anavex Life science corp. for Artificial Intelligence (AI) enabled drug development and healthcare sales marketing

Exciting News! Anavex Life Sciences and Partex NV Announce Strategic Partnership to Enhance Patient Experience. Anavex Life Sciences Corp. and Partex NV N.V. Group are pleased to...
Read More


Feb 23

AI supports targeted therapy recommendations fortumor diseases – BMBF funds joint research projectat University Medical Center Mainz with 2.53 millionEuros

The treatment and support of patients with advanced tumor diseases is a complex task involving numerous disciplines. For the interdisciplinary...
Read More

Innoplexus wins Horizon Interactive Gold Award for Curia App

Read More

Innoplexus Assists in Biomarker Identification

In 2019, Innoplexus worked with Novartis on a pilot program that used Innoplexus’s proprietary artificial intelligence solutions and publicly available data to seek to identify baseline biomarkers of response.
Innoplexus was talking to Eric Hughes – global development unit head for immunology, hepatology, and dermatology at Novartis:

What is your role at Novartis, and what was your involvement in the pilot program?

Eric Hughes: I am the Development Unit Head of Immunology, Hepatology, Dermatology and the China Head of Global Drug Development. I lead the discussions with Innoplexus in terms of defining the high-level strategy for the biomarker identification project.

Novartis has embraced the use of artificial intelligence. What do you look for in a technology provider, and how does Innoplexus fit into this profile?

Eric Hughes: At Novartis, leveraging data and digital is critical to our strategy. As an example, leveraging advances in machine learning and our internal clinical and omics data provides the potential of identifying subgroups of patients most likely to respond to a particular treatment. When we look for a technology provider, we are looking for a partner that is driving the advances in the field that will help us deliver transformational treatments for patients.

Why did Novartis decide to engage in the pilot program with Innoplexus?

Eric Hughes: What impressed me about Innoplexus is their technology, how they listened to what we wanted to achieve, and how quickly they executed the project.

What was your experience of the Innoplexus process and the biomarker identification program?

Eric Hughes: We had a positive experience with the Innoplexus team during this pilot program. The Innoplexus team was very fast to develop their strategy to address our request. During the execution of the project, the Innoplexus team scheduled regular check-ins with our team to share progress and ask clarifying questions in case any changes in strategy were needed to complete the project to our expectations.

What challenges do you face in biomarker identification?

Eric Hughes: Having sufficient data and the analytical capability is critical to being able to identify potential baseline biomarkers of response for the autoimmune diseases we are focused on at Novartis. In working with Innoplexus our expectation was to leverage their technology to pool all of the publicly available patient-level data that might help us in delivering on this objective.

About Eric Hughes:

Eric Hughes joined Novartis in 2015 as the global development unit head for immunology, hepatology, and dermatology. Later, he was also appointed as the China Head of Global Drug Development. Hughes is a licensed physician with specialty training in infectious diseases. He has a doctoral degree in immunology from Yale. He oversees clinical development for therapies and looks forward to helping Novartis deliver transformational treatments for patients.

About Innoplexus:

Innoplexus provides advanced artificial intelligence and blockchain solutions that support all stages of drug development from pipeline to market. Innoplexus identifies and extracts structured and unstructured life science data by scanning up to 95% of the world-wide-web and merges it with enterprise and third-party data in an ongoing, real-time process. This continually updated data repository is the foundation of our custom and off-the-shelf solutions.

Featured Blogs