How Machine Learning Can Advance Disease Predictability
In this article with AiThority, Chao Li (AbbVie) and Mike Munsell (Panalgo) discuss how machine learning models and AI technology can enhance our ability to predict disease. As the healthcare landscape evolves and becomes increasingly digital, investments in real-world data (RWD) are skyrocketing, intensifying the need to make sense of large, often unwieldy, data sets. […]
The need for regulatory grade evidence: Are you in the stadium or the sandbox?
Meg Richards, Executive Director of Solutions Engineering at Panalgo, discusses what “regulatory grade evidence” really means. RWE and RWD continue to share the limelight in pharmacoepidemiologic and pharmacoeconomic journals and congresses, the demand for defining RWD and RWE as well as a framework for leveraging real-world research has never been greater. Read more here.
How Life Sciences Companies Can Strengthen Regulatory Submissions With External Control Arms
Meg Richards, PhD, discusses how life sciences companies can strengthen regulatory submissions with external control arms, noting that data from past clinical trials has provided researchers with a good starting point to create external control arms. Click here to read the full article on Applied Clinical Trials.
How Stakeholders Can Maximize the Value of Real-World Data Analytics
In this Pharmacy Times article, Panalgo Solutions Engineer Matthew Marshall discusses how payor organizations can deliver value and improve programs with real-world data analytics. Click here to read the full article on Pharmacy Times.
A Game-Changing Shift: Why Pharma Commercial Teams Are Turning to HEOR
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Transforming Healthcare Analytics with Machine Learning
In this article with Healthcare Business Today, Zeynep Icten, PhD, (Director of Data Science Solutions at Panalgo) discusses the predictive power of machine learning for healthcare analytics. Click here to read the full article on Healthcare Business Today.
Using Machine Learning in the Evolving Landscape of Real-World Data
In this article with HIT Consultant, Zeynep Icten, PhD, (Director of Data Science Solutions at Panalgo) discusses the predictive power of machine learning for healthcare analytics in the evolving landscape of real-world data. Click here to read the full article on HIT Consultant.
RWE: Supporting Regulatory Submissions with Real-World Evidence
In this article with HIT Consultant, Tiffany Siu Woodworth, Director of Analytics Solutions at Panalgo, discusses RWE within the regulatory landscape. She notes how in recent years, RWE has played an increasingly important role in life sciences companies and is now gaining acceptance by regulatory agencies. But simple RWE isn’t enough for regulatory submissions – […]
Tips to Improving Data Visualization in Healthcare
In this Health IT Answers article, Catherine Richards weighs in on the role of data visualization in healthcare. Data visualization in healthcare has been a topic of conversation for years, but the industry’s interest and investments in that arena are growing more lately because the transformation of data into actionable insights is what drives healthcare […]
Operationalizing RWE Teams Across The Enterprise
In this Life Science Leader article, Catherine Richards weighs in on the critically important part of the healthcare analytics ecosystem that is often overlooked and how it is crucial to creating an enterprise-wide real-world data (RWD) strategy. Richards argues that while business leaders and the industry most often focus on the technologies and databases that […]