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For a more comprehensive view of the patient journey and experience, life sciences organizations must turn data into insights. Panalgo’s Instant Health Data (IHD) platform...
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In this case study, we dive into how this company educated employees in data science analytics techniques across departments with various skillsets and fostered a...
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Today’s life sciences companies need efficient ways to turn real-world data into meaningful insights. To explore how Panalgo’s Instant Health Data (IHD) and IHD Cloud...
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With Panalgo’s IHD, a company successfully accelerated its ability to derive actionable insights from real-world data, leading to tangible business benefits.
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Global provider of pharma intelligence solutions joins the ranks of Waymo, Nvidia, Duolingo, and more
- Case Study
A biopharma manufacturer developing a rare disease treatment needed to quantify its potential patient population.
- Case Study
When a medical device company was preparing to launch a new product, it turned to Panalgo to generate robust data for an HEOR study on...
Faster Evidence, Fewer Bottlenecks: How IHD Is Redefining What’s Possible in Evidence Generation
As the demands on real-world data teams continue to grow, with more data sources, more stakeholders, and more pressure to deliver trusted evidence faster, the tools supporting that work need to evolve just as quickly.
Accelerating HEOR and Real-World Evidence: How IHD Helps Researchers Turn Evidence Into Impact
Health economics and outcomes research (HEOR), epidemiology, and real-world evidence (RWE) teams are under growing pressure to deliver meaningful insights faster than ever before. As healthcare stakeholders demand stronger evidence of clinical, economic, and humanistic value across the product life cycle, researchers need more than data—they need the right combination of technology, expertise, and fit-for-purpose evidence sources to turn research into impact.
How Pharma Leaders Are Rethinking Evidence Generation in the AI Era
Learn what organizations must do to balance speed, transparency, governance, and innovation in an increasingly data-driven and AI-reliant environment.
Where Treatment Slows in Metastatic NSCLC: A Real-World Data Analysis of Care Delays and Access Barriers
As regulators around the world grow more comfortable with real-world data (RWD) and AI-enabled evidence generation, pharma companies are rethinking how, and when, they build evidence.
Pharma’s New Regulatory Reality: Building Evidence for Launch and Beyond
As regulators around the world grow more comfortable with real-world data (RWD) and AI-enabled evidence generation, pharma companies are rethinking how, and when, they build evidence.
Smarter Data, Better Outcomes: How Real-World Data Is Transforming Evidence Generation Across the Product Lifecycle
As real-world data (RWD) becomes more central to healthcare decision making, evidence generation is playing an increasingly important role, from early identification to treatment optimization
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