Pancreatic Disease Management
Multimodal risk stratification for cystic precursor lesions and pancreatic cancer — predicting malignant progression and treatment planning from imaging, labs and clinical variables.
Muhammad Ibtsaam Qadir
PhD Candidate in Biomedical Engineering · Purdue University
Building deep learning and multimodal AI systems that turn heterogeneous clinical data, spanning radiological and pathological images, electronic health records, genomics, and surgical videos, into actionable insights for diagnosis, prognosis, and precision medicine.
About
Multimodal AI and agents for clinical research
I am a PhD candidate working at the intersection of multimodal AI, medical imaging, and surgical data science, with a focus on pancreatic diseases across the cancer continuum: from precursor lesions to pancreatic ductal adenocarcinoma (PDAC). My research develops AI methods for preoperative diagnosis, risk stratification, and treatment planning, while also exploring the theoretical foundations, vulnerabilities, and scalability of vision-language models.
Beyond clinical AI, I work on autonomous AI agents for science and healthcare, developing systems that can reason across complex data and orchestrate clinical and scientific workflows. I am also interested in regulatory science and the translation of AI-enabled medical technologies into clinical practice.
I am advised by Dr. Fiona R. Kolbinger, and affiliated with the Weldon School of Biomedical Engineering at Purdue University in West Lafayette, Indiana, the Else Kröner Fresenius Center for Digital Health at TU Dresden in Dresden, Germany, and the Indiana University Melvin and Bren Simon Comprehensive Cancer Center.
Education
-
2024 – Present
PhD, Biomedical Engineering
Purdue University, Weldon School of Biomedical Engineering · West Lafayette, IN
-
2024 – 2026
Graduate Certificate, Regulatory Science for Medical Devices
Purdue University, Weldon School of Biomedical Engineering · West Lafayette, IN
-
2019 – 2023
BS, Electrical Engineering
National University of Sciences and Technology (SEECS) · Islamabad, Pakistan
Research
Translational Clinical AI
Surgical Data Science
Video understanding for minimally invasive surgery, vision-language models for intraoperative decision support.
Regulatory Science
What it should take to approve a medical AI device: study requirements across jurisdictions, and the gap between research and clinical translation.
Theoretical Machine Learning
The fundamental limits that bound large language models regardless of scale, and generalisation under distribution shift.
Publications
Selected Publications
Full publication list on Google Scholar. Author identifiers on ORCID.
Journal articles
- EU's fragmented early-stage medical device study requirements need reform. Nature Biomedical Engineering, 2026. [View]
- On the fundamental limits of LLMs at scale. Transactions on Machine Learning Research, 2026. [View]
- Prompt injection attacks on vision-language models for surgical decision support. npj Digital Surgery, 2026. [View]
- Artificial intelligence in pancreatic intraductal papillary mucinous neoplasm imaging: a systematic review. PLOS Digital Health, 2025. [View]
- From marginal gains to clinical utility: machine learning-based percutaneous coronary intervention risk prediction models. European Heart Journal — Digital Health, 2025. [View]
- Unmanned surface vehicle for intelligent water quality assessment to promote sustainable human health. Water Supply, 2024. [View]
Preprints
- Field strength-dependent performance variability in deep learning-based analysis of magnetic resonance imaging. 2025. [View]
Conference papers
- Channel prediction under network distribution shift using continual learning-based loss regularization. 2026. [View]
- Towards personalized management of intraductal papillary mucinous neoplasms with multimodal artificial intelligence. Journal of Clinical Oncology 43(16):e16461, 2025. ASCO Annual Meeting. [View]
News
Recent highlights
-
Jul 2026
-
Jul 2026
Awarded Trainee Pilot Grant by IUSCCC
To radiologist-AI collaboration for clinical management of IPMN patients. Read more
-
Jun 2026
CBM Professional Development Award by Weldon School of Biomedical Engineering
To attend and present work at MICCAI 2026 happening in Strasbourg, France.
-
Mar 2026
Two abstracts presented at AHPBA Annual Meeting 2026
Multimodal prediction of textbook outcome after distal pancreatectomy and after pancreatoduodenectomy.
-
Dec 2025
Abstract presented at RSNA Annual Meeting 2025
Field strength-dependent performance variability in deep learning-based analysis of magnetic resonance imaging.
-
Jun 2025
Awarded the Leslie Bottorff Fellowship for Clinical Immersion
To pursue clinical immersion at IU Health University Hospital, with a focus on Diagnostic & Interventional Radiology and Surgical Oncology. Read more
-
Aug 2023
AquaDrone won best project awards at COMPPEC 2023 and SEECS Open House 2023
AquaDrone for Water Quality Assessment Read more
Awards & honours
- IUSCCC Trainee Pilot Grant, IU Simon Comprehensive Cancer Center, 2026
- CBM Professional Development Award, Weldon School, Purdue University, 2026
- Honourable Mention Award, IUSCCC Cancer Research Day, 2026
- Travel Award for RSNA 2025, Purdue University Graduate Student Government, 2025
- Leslie Bottorff Fellowship, Purdue University, 2025
- Best Poster Presentation Award, IUSCCC Cancer Research Day, 2025
- Prototype Development Grant, FICS, 2023
Contact
Get in touch
I am always open to discussing new research collaborations and opportunities.
Muhammad Ibtsaam Qadir
Purdue University
West Lafayette, IN, United States