When Evidence Gap Becomes a Commercial Liability
The MENA evidence gap for selected portfolios is becoming a commercial liability for drugmakers that could have been prevented at the design stage.
The MENA evidence gap for selected portfolios is becoming a commercial liability for drugmakers that could have been prevented at the design stage.
Organizations that can generate and apply high-quality, clinically grounded evidence will be better positioned to close the gap between what is proven in trials and what is achieved in practice.
When applied with a rigorous, subject-matter-expert guided process, AI-currated RWD is an essential resource giving life science organizations new power to monitor the diverse variety of ways drugs are actually utilized post-approval.
This year will be the turning point from AI “hype” to the adoption of meaningful AI and digital health solutions in pharma. Here four predictions.
The application of AI technology is part of a carefully orchestrated effort dependent on human intelligence, and the collaboration of physicians, disease-specific specialists, nurses, data scientists, and technologists. Done right, these efforts can lead to profound benefits, and offer a promising future for clinical research and patient care.
Technology that offers tools that conform, de-identify, link and aggregate data and data science tools like AI, machine learning and advanced analytics, can help those researching rare diseases overcome the hurdles they face in discovery and development.
The ability to harness real-world insights at scale empowers life sciences companies and clinicians to develop more targeted therapies, improve patient outcomes, and drive evidence-based innovation in BPH treatment.