Dr. Sanjay Khanna 🔬

Dr. Sanjay Khanna

(he/him)

Medical Oncologist | AI in Healthcare Researcher

Royal Marsden Hospital & ICR

Imperial NHS Trust

Faculty of Pharmaceutical Medicine

Professional Summary

Medical Oncology Registrar on the UK’s first dual-accredited training pathway, combining clinical specialty training with pharmaceutical industry experience. Building LLM-based decision support tools for cancer screening with a focus on equity and implementation.

Education

MD(Res) - Industry-funded Research Doctorate

2023-01-01

Royal Marsden Hospital & Institute of Cancer Research

Diploma in Pharmaceutical Medicine

2020-01-01
2021-12-31

Faculty of Pharmaceutical Medicine

Medical Oncology Specialty Training

2019-01-01

Imperial NHS Trust

MBBS Medicine

Medical School

Interests

Cancer Screening & Early Detection AI/LLM in Healthcare Health Policy & Regulation Clinical Trial Innovation Pharmaceutical Strategy
� My Research

I am a Medical Oncology Registrar on the UK’s first dual-accredited training pathway—the first registrar permitted to combine clinical specialty training with a substantive industry role.

Over 6 years at Roche, I have worked across the pharmaceutical value chain: Medical Affairs, regulatory submissions, clinical development (serving as second-in-command for an 80,000-participant blood-based early detection trial), and strategic partnering. I spent three years as a portfolio mentor for the Cambridge accelerator StartCodon.

My current industry-funded MD(Res) at the Royal Marsden Hospital and Institute of Cancer Research focuses on:

  • U-RESPOND Study: Qualitative research using choice architecture to understand cancer screening behaviours
  • Microsimulation Modelling: Testing population impact of blood-based screening in the UK
  • LLM-based Decision Support: Building AI tools for cancer screening—designed for equity, scalability, and real-world implementation

I am building the evidence base for evaluating patient-facing AI and continue to publish on health policy and cancer regulation.

Featured Publications
Recent Publications
Research Projects

LLM-Based Cancer Screening Decision Aid

Developing an equitable, scalable AI tool to support informed decision-making for cancer screening participants.

Population Microsimulation: MCED Test Impact

Modelling the potential population-level impact of blood-based cancer screening in the UK.

U-RESPOND: Understanding Screening Responses

Comprehensive qualitative research using choice architecture to understand cancer screening responders and non-responders.

Get in Touch

I welcome opportunities for collaboration in cancer research, healthcare innovation, AI in medicine, and policy development.