Quantum computing: Hype Vs. Reality

Abstract

Similar to how information technology maximizes system performance by increasing signal throughput and reducing noise, pharmaceutical development strives to optimize therapeutic benefit while minimizing toxicity. In this talk, I draw parallels between the Internet of Things (IoT) and modern biomedical innovation, where both depend on interconnected data streams, feedback control, and optimization under uncertainty. Artificial intelligence (AI) now plays a central role in this transformation, enabling deeper understanding of disease mechanisms, smarter trial design, and adaptive monitoring of patient responses. Meanwhile, real-world evidence (RWE) expands the bandwidth of medical knowledge, providing continuous feedback from clinical practice to inform regulatory and therapeutic decisions. Together, AI and RWE are reshaping drug development into a dynamic, data-driven system that learns from every patient and every data point.