The integration of machine learning (ML), real-time analytics, and numerical optimization is revolutionizing drug discovery, development, and manufacturing. Expert highlighted the transformative impact of these technologies on healthcare.
“Real-time analytics allows us to process vast data streams instantly, enabling decisions that match the urgency of healthcare innovation,” said Dr Aditya Dodda, an expert in real-time ML applications.
“ML is about intelligence and precision, not just brute force. It’s transforming how quickly and effectively we develop new therapies,” noted Dr Dodda, emphasizing its role in accelerating drug development.
Dr Dodda further explained the importance of numerical optimization: “By integrating it with ML, we’re expanding the possibilities in pharmaceutical manufacturing, addressing global demand for quality medications.”
Edge computing is also advancing healthcare solutions. “Deploying complex neural networks on edge devices enables millisecond-level latency for applications like anomaly detection and personalized medicine,” he said.
Looking ahead, Dr Dodda predicted the impact of quantum systems: “As these mature, they’ll unlock capabilities in molecular simulations and drug design, driving innovations in personalized medicine and complex diagnostics.”
