About the course
The BiteLabs UK Digital Health, AI and Innovation Fellowship is an eight-week programme for clinicians and healthcare professionals who want to build careers in digital health, AI, and innovation. Across 8 weeks, you will learn the skills that shape modern health technology: how digital health products are built, how AI is being applied in clinical and commercial settings, and how to move from idea to working concept. Each week brings a live workshop with faculty and industry mentors, alongside practical project work you complete in your own time. The programme runs from 18 June to 6 August 2026 and culminates in a Demo Day at Rathbones in London, where Hybrid Fellows will present their project to a room of investors, founders, and senior figures from across the sector. You will join a community of more than 1,000 fellows who have used the programme to step into new roles, launch ventures, and reshape their careers. Our alumni have collectively raised over £13M and moved into more than 400 non-clinical roles across the industry. Learn. Build. Network. Shaping the future of Global Health Care Careers.
Curriculum
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1
Welcome to the course!
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How to use this course
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Before we begin...
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Full Reading List
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2
Onboarding Session
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Onboarding Session
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3
Week 1: Launch Event and Introduction to Clinical Product Management
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Clinical Product Management Learning Objectives
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Glossary
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Pre-Workshop Reading
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Clinical Product Management Quiz
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Post-Workshop Further Reading
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Workshop Recording
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4
Week 2: Gathering Data from Customers and Users to Prove Hypotheses
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Gathering Data from Customers and Users to Prove Hypotheses Learning Objectives
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Glossary
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Pre-Reading
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Gathering Data & Proving Hypotheses Quiz
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Post-Workshop Knowledge Check
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Post-Workshop Reading
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Workshop Recording
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5
Week 3: Lean Canvas: Problem Statements and Hypotheses
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Lean Canvas: Problem Statements and Hypotheses Learning Objectives
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Glossary
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Pre-workshop Task
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Case-based questions
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Pre-workshop knowledge check
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Post-workshop knowledge check
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Workshop Recording
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6
Week 4: Artificial Intelligence in Healthtech
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AI in Healthtech Learning Objectives
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Glossary
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Key Terminology
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Basics
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Reading
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Discussion: Clinical Uses for AI
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Question 1: GenAI Basics
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Question 2: LLM prompts
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Question 3: Zero- and Few-Shot Prompting
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Question 4: Retrieval Augmented Generation
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Questions 5 & 6: AI and Ethics
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Pre-Workshop Activity - Prompt Engineering for LLMs Reflection
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Workshop Recording
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7
Week 5: Product Commercialisation
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Product Commercialisation Course Overview
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Glossary
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Questions 1-9
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Further Reading
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Workshop Recording
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8
Week 6: Regulatory and Compliance
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Regulatory and Compliance Learning Objectives
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Glossary
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Questions 1 & 2: Clinical Safety Standards
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Question 3: Hazard Logs
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Pre-workshop Knowledge Check
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Case 1: Clinical Safety
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Case 2: Concentric
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Case 3: Medical Device Regulation
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Case 4: CQC
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Workshop Recording
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9
Week 7: Medical Content Creation, Networking, pitching and your Actionable Next Steps
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Medical Content Creation, Networking, pitching and your Actionable Next Steps Learning Objectives
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Developing your personal brand
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Preparing for Demo Day (Hybrid)/Final Submission (Remote)
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Pre-Workshop Reading
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Post-Workshop Knowledge Check
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Workshop Recording
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10
Week 8: Demo Day
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Recording
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