A Collaborative Approach to Machine Learning in Healthcare and Life Sciences

Watch Webinar

To process your registration, TIBCO Software Inc. and TIBCO affiliates (collectively “TIBCO”) need to collect the below personal data from you. By registering for this TIBCO resource, you are consenting to TIBCO processing this data and contacting you by email, telephone, and/or social media with resource-related information.

It's generally accepted that you need a team with a wide variety of skills to build modern machine learning (ML) pipelines and make them operational. But what does that team look like, and how do they work together? These questions are especially important when the skills required are specialized. When you’re developing interactive clinical and healthcare applications (backed by specialized statistical methods and made to scale on terabytes of highly complex data), you want the right people by your side. 

In this latest webinar with Data Science Central, we'll describe three healthcare and life sciences projects in which business analysts, data scientists, and ML engineers collaborated. These applications and use cases are applicable across a number of industries.

Tune in to learn about the latest advances in big data analytics and artificial intelligence (AI) from PerkinElmer. And see real-life examples of how TIBCO data science and analytics solutions combined with the PerkinElmer AI platform  can be used to create:

  • An imaging-based phenotypic screening of cell-based disease models using high-content screening (HCS)
  • Clinical translational systems designed to detect and score significant biomarkers in clinical prognostication 

Also, find out how, in just three days, a diverse team from TIBCO responded to a critical healthcare challenge, analyzing health outcomes using socioeconomic data from countries around the world.

Hosted by:

Sean Welch, Host and Producer, Data Science Central

DSC Webinar Series - A Collaborative Approach to Machine Learning
You may also be interested in:


Success with TIBCO:


In electricity consumption via analytic-driven asset utilization


Thousands of data points per car, per second understood with TIBCO Spotfire


In revenues via price optimization, cross-sell, and fraud detection

74 Percent

Fewer surgical site infections