Rare disease Archives - Page 3 of 12

Reflections on the MAPS 2022 Global Annual Meeting

This year, the Medical Affairs Professional Society (MAPS) returned in person to New Orleans, in a grand style that only this city could deliver. This year’s theme, “From Vision to Action”, was...

What we learned post-COVID? That our clients and patients need digital patient support programs now more than ever

Even before the global scramble to digitize healthcare and patient support due to COVID began, the use of digital tools in healthcare was on the rise. Increasingly in 2021, our clients and...

Effectively articulating burden for future health technology assessments

As the uptake of personalized medicine and advanced therapies has increased, so has the pressure on healthcare budgets. To enable informed decisions on the long-term value that new therapies may provide to...

Medical Affairs: Center-stage in Scientific Engagement Strategies

With regard to digital and virtual engagement, Medical Affairs must develop communication strategies that go beyond data dissemination, allowing for scientific exchange in these forums while continuing to conform with compliance policies....

Applying AI and machine learning to accelerate rare diagnosis

Accelerating diagnosis remains the fundamental challenge in rare disease. There is no magic wand for resolving this challenge but technological advances in AI and machine learning can provide demonstrated benefits in helping...

Fabry Disease Patient-Reported Outcome (FD-PRO) demonstrates robust measurement properties for assessing symptom severity in Fabry disease

Authors: A Hamed, P Das Mahapatra, N Lyn, C Gwaltney, C Iaconangelo, D Serrano, V Modur, J Politei Published: Molecular genetics and metabolism reports, 2021 View publication Background Fabry disease (FD) is...

Key elements of a real-world evidence generation plan: integration of product support activities

Real-world evidence is a key component of value demonstration for pharmaceuticals, diagnostic agents, and medical devices throughout the product lifecycle. Planning for real-world evidence needs early in the pre-launch period can allow...

Precision Medicine: Placing the Patient at the Center of the Healthcare Journey

Personalized patient support is made possible by machine learning and AI-powered analysis of large data sets. With these tools, healthcare professionals can receive highly targeted information that eliminates irrelevant or redundant messaging...

Strategizing rare disease awareness & education globally

We live in a time of global challenges – climate change, COVID, and poverty. We need global solutions to these problems, and we are seeing some evidence that such solutions may be...

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