Dr. Latha Kiran Krishna Rajendran

Redefining Oncology: From Reactive Care to Predictive Intelligence Through Digital Twins and Foundation AI Models

Abstract:

Oncology is undergoing a paradigm shift from reactive treatment to predictive, personalized care powered by digital twins and foundation AI models. By integrating multi-omics data, clinical histories, and real-time patient monitoring, digital twins enable dynamic simulation of disease progression and therapeutic response. Foundation models amplify this capability through scalable pattern recognition and decision support. Together, these technologies promise earlier interventions, optimized treatment strategies, and improved outcomes, redefining precision oncology into a proactive, continuously learning healthcare ecosystem.

Profile:

Dr. Latha Kiran Krishna Rajendran is a clinician–researcher at the forefront of oncology and artificial intelligence, known for her work in transforming cancer care through predictive technologies. Her research explores digital twins, foundation AI models, and drug repurposing to bridge big data with real-world clinical impact. A contributor to international conferences and peer-reviewed research, she brings a multidisciplinary perspective that integrates bioinformatics, clinical oncology, and scalable AI systems. Her work envisions a future where oncology shifts from reactive treatment to proactive, personalized care driven by intelligent, data-powered insights.