Cracking the Code: How Generative AI Can Solve the Rare Disease Puzzle
In this article, we explore how generative AI is unlocking solutions for rare diseases. By accelerating drug discovery and enabling personalized treatment, AI is transforming healthcare for underserved patient populations. Advanced data analytics play a crucial role in addressing the complexities of diagnosing and treating rare conditions, providing new pathways for effective solutions and improving patient outcomes.
Navigating the Digital Health Landscape: Building Trust, Transparency, and Inclusive AI
In an interview at HealthImpact Live, Janae Sharp and Dr. Chris Gibbons discussed the evolving digital health industry, the dangers of bias and blind faith in generative AI tools, and the steps needed to rebuild patients' trust in digital health systems. Dr. Gibbons emphasized the importance of data transparency and the need to address bias in AI training models. He also highlighted the need for doctors to assist in the design of AI algorithms directly. Dr. Gibbons expressed optimism about the future of digital health and emphasized the need for collaboration to improve patient experiences and outcomes.