The completion of the first draft of the human genome in 2001 was supposed to kick off an era of personalized medicine and curative gene therapies.1 Only in the past few years has that promise started to become reality: several RNA- and DNA-based therapies are now on market, and the first curative gene therapy, Luxturna, was approved in 2018.
These successes were largely due to a better clinical and scientific understanding of safety profiles as well as a refined manufacturing process that met the consistency and quality standards required for clinical scale. The bevy of new gene therapies in the development pipeline has the potential to transform care across several therapeutic areas. However, it also creates new challenges for key stakeholders—including pharma companies, regulatory agencies, providers and payers—in how to recalibrate the pharma development and reimbursement model for therapies that go beyond our traditional approach to treating disease.
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By Emily Capra, Jeff Smith, and Guang Yang
Big Pharma has long seen the potential for AI and machine learning to accelerate drug development. But Novo Nordisk is going a step further by channeling $200 million toward the creation of a computer that will outrun anything in existence.
Current methods for diagnosing Alzheimer’s disease rely on a complex combination of self- and caregiver-reported symptoms, a physical examination and either a PET scan or a spinal tap to look for evidence of amyloid plaque build-ups in the brain. But a new artificial intelligence-based method may make the diagnostic process a much more objective one.
There is lots of talk about diversity and inclusion in business, including in pharma and medtech. A new report by the Open Political Economy Network (OPEN), a think tank focusing on migration and diversity, released its “Minority Businesses Matter: Europe” report highlighting the successes and challenges of ethnic minority-owned businesses in Europe.