PhD candidate in THE HADRON ACADEMY: Risk and complexity in high tech medical innovation.

Muhammad Asim is a PhD candidate at IUSS Pavia, specializing in artificial intelligence for medical imaging. With a strong background in machine learning and deep learning, his research is dedicated to advancing diagnostic accuracy in brain cancer detection through cutting-edge neural network architectures.
He earned his BS (Hons.) in Information Technology and later pursued an MPhil in Artificial Intelligence at Islamia University of Bahawalpur, completing his degree in 2024. His MPhil research focused on machine learning techniques for lung cancer detection, culminating in a thesis titled "A Blended Approach for Lung Cancer Detection Using Machine Learning Techniques."
At IUSS Pavia, Asim is committed to developing AI-driven solutions that enhance early cancer detection and clinical decision-making. His work aligns with the broader vision of integrating AI into high-tech medical innovation, ensuring more accurate, efficient, and scalable diagnostic tools for the future of healthcare.