Vijay Singh
New Delhi [India], June 25: As healthcare increasingly shifts toward personalized treatment and preventive care, Sujini Ponnusamy is helping advance the integration of genomics and artificial intelligence (AI) into modern medicine.
With over two decades of experience in molecular biology, genomics, oncology, and digital health, Ponnusamy has focused on translating complex scientific insights into practical clinical solutions. She was among the early pioneers of nutrigenomics in India, promoting the use of genetic information to guide personalized nutrition and health interventions.
Recognizing the growing role of genomics in cancer care, she later worked on integrating molecular diagnostics and pharmacogenomics into oncology decision-making. Her contributions include the development of CANLYTx, a precision oncology platform designed to support clinicians with personalized treatment insights based on genomic data.
Ponnusamy has also been a strong advocate for using AI as a clinical support tool, helping healthcare professionals interpret complex genomic and medical data more efficiently. Her work focuses on building AI-enabled healthcare systems that combine genomic, clinical, and diagnostic information to support informed medical decisions.
Beyond research and innovation, she has contributed to broader discussions on the ethical and responsible adoption of AI in healthcare.
As precision medicine continues to gain global momentum, Ponnusamy’s work reflects a growing movement toward healthcare that is more predictive, preventive, and personalized—leveraging technology to improve patient outcomes and transform the future of care.
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