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She simultaneously studied MBBS and IIT Madras and is now using artificial intelligence to advance cancer research


She simultaneously studied MBBS and IIT Madras and is now using artificial intelligence to advance cancer research
BVS Madhavi combines expertise from MBBS and IIT Madras to build artificial intelligence solutions for cancer research. (Picture: LinkedIn)

Most students spend years deciding whether to pursue medicine or engineering. For BVS Madhavi, the answer is surprisingly simple – why choose one over the other when you can study both?While studying MBBS at Andhra Medical College, Madhavi simultaneously pursued a bachelor’s degree in data science and programming from IIT Madras. Balancing medical school, hospital responsibilities, coding assignments, exams, and research isn’t easy, but she believes the future of health care will belong to those who can bridge the gap between medicine and technology.Today, that belief shapes her career. Madhavi is just starting her career as a junior clinical scientist at nference, using artificial intelligence to generate real-world evidence in oncology to help researchers better understand cancer and improve patient care.

A doctor who wants to learn about artificial intelligence

For many medical students, completing a Bachelor of Internal Medicine is a daunting challenge in itself.Madhavi decided to add another degree.She enrolled in the Bachelor of Science in Data Science and Programming program at IIT Madras in 2021, convinced that artificial intelligence and data science will transform the healthcare industry in the coming years.Rather than separating technology from medicine, she sees it as an important tool to make diagnoses more accurate, improve research, and provide better outcomes for patients.The decision meant juggling lectures, clinical posts, ward duties, practical exams and IIT assignments.The schedule was grueling, but she remained committed to both subjects.

Study in hospitals and laboratories

Madhavi’s journey extends far beyond the classroom.During her clinical internship at Andhra Medical College, she was trained in several major departments including General Medicine, Surgery, Paediatrics, Obstetrics and Gynecology, Orthopedics, Psychiatry, Dermatology and Emergency Medicine.In addition to patient care, she continues to develop expertise in machine learning and medical research.As a machine learning engineer intern at Starline AI, she developed an AI-based pneumonia detection system using chest X-rays and deep learning models. The plan was about 90% accurate and was recognized in an all-female entrepreneurial idea marathon.Earlier, as a research assistant at Andhra Medical College, she explored the application of artificial intelligence in forensic science by developing machine learning models to analyze lip patterns in personal identification.Her research interests even extend beyond Earth.At the 2025 International Space Congress (IAC) in Sydney, Madhavi presented research on sensory perception in microgravity and the potential of 3D bioprinting in space medicine, contributing to discussions on the future of healthcare during long-duration space missions.

When medicine meets artificial intelligence

Today, Madhavi works at nference as a junior clinical scientist, where she combines medical knowledge with artificial intelligence to generate real-world evidence in oncology.This role perfectly reflects the path she has intentionally created for herself—one that combines clinical understanding, medical research, and advanced data science.Her journey highlights a growing trend in global healthcare.Hospitals, pharmaceutical companies and research institutions increasingly rely on professionals who understand both medicine and technology. From analyzing patient data to developing AI-driven diagnostic tools and accelerating drug discovery, interdisciplinary expertise is becoming one of healthcare’s most valuable assets.

A lesson for students to choose their future

Students are usually encouraged to choose a concentration – science or technology, medicine or engineering.Madhavi’s journey shows that the future may not always fit neatly into a category.Medicine is becoming increasingly data-driven as artificial intelligence reshapes healthcare. Physicians who understand technology and technicians who understand medicine will play an important role in solving some of the world’s biggest health care challenges.Her story also reminds us that learning doesn’t stop after gaining admission to a prestigious university. Curiosity, adaptability, and a willingness to step outside your comfort zone often create opportunities that traditional career paths cannot.For students wondering whether they should follow traditional routes or explore interdisciplinary study, Madhavi’s journey provides an inspiring example. Sometimes the most rewarding careers are built not by choosing between two passions, but by finding a way to combine them.Disclaimer: This article is based on information shared publicly by BVS Madhavi through her professional profile and publicly available details about her academic and professional journey. It is for educational and informational purposes only.



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