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Finding Rare Disease Patients with Real-World Data and Analytics
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by Ragib Ahsan, Erik Maul, Eric Girouard, April Duddy, and Srini Raghavan
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Accessing real-world data across international borders has long been a headache for life sciences companies. Data residency laws, privacy concerns, and siloed systems have historically...
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Exploratory data tool and Gen AI-powered assistant help life sciences teams unlock deeper RWD insights
- Press Releases
Boston, MA - May 8, 2025 - Panalgo, a Norstella company dedicated to revolutionizing healthcare data analytics, announced today that Instant Health Data (IHD) Cloud,...
- Blogs
Accessing and leveraging real-world data (RWD) is a persistent challenge for life sciences companies. Data silos, inefficiencies, and complex workflows often hinder organizations from fully...
Applying State-of-the-Art Survival Extrapolation Techniques to the Evaluation of CAR-T Therapies: Evidence from a Systematic Literature Review
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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
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
Podium and Poster from 2021 Virtual ISPOR
PODIUM PRESENTATION: Predictors of Inpatient Relapse in Multiple Sclerosis Patients Using First-Line Disease Modifying Therapies: A Machine Learning Study of Real-World Data. Zeynep Icten, PhD,
Panalgo Wins 2021 MedTech Breakthrough Award for “Best Overall Healthcare Data Analytics Platform”
BOSTON – May 6, 2021 – Panalgo, a leading healthcare analytics company, today announced that its Instant Health Data (IHD) platform has been selected as
Panalgo to Present at 2021 Virtual ISPOR
PODIUM PRESENTATION: Predictors of Inpatient Relapse in Multiple Sclerosis Patients Using First-Line Disease Modifying Therapies: A Machine Learning Study of Real-World Data. Zeynep Icten, PhD,
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