Personalised Medicine Cancer, AI, and Entrepreneurship

Course Overview and Description

Course Overview

This elite, interdisciplinary course integrates the latest in precision oncology, artificial intelligence, and translational entrepreneurship, empowering learners to drive impactful innovation across science, technology, ethics, and healthcare delivery. Inspired by the research and clinical breakthroughs of leading institutions like Harvard, Oxford, MIT, and Stanford, the course combines academic excellence with real-world application.

 

Students will explore how molecular profiling, machine learning, immunotherapy, and digital health platforms are transforming cancer care from early detection to adaptive trials, from underserved populations to investor-ready biotech solutions. Beyond the lab, the course delves into global ethics, data justice, health equity, and venture design, preparing learners to lead with both precision and purpose.

 

This course is academically informed by the visionary work of:

  • Aviv Regev (Genentech, Broad Institute, MIT) – tumour ecosystems and single-cell oncology
  • Regina Barzilay (MIT CSAIL, MGH) – AI models for early cancer detection and prediction
  • Carl June (UPenn) – CAR-T and cellular immunotherapy
  • Siddhartha Mukherjee (Columbia, Pulitzer Prize) – systems-level cancer medicine
  • Eric Topol (Scripps, former NIH board) – digital health and AI in clinical practice
  • Shafi Ahmed (The Royal London) – surgical innovation and VR/AR in cancer care
  • Sarah-Jane Dawson (Peter MacCallum Cancer Centre) – ctDNA and liquid biopsy
  • Gillian Griffiths (Cambridge/Oxford) – immunogenomics and translational cell biology
  • Bhramar Mukherjee (University of Michigan) – biostatistics and equity-focused AI

 

And informed by the strategic models of:

  • Flatiron Health, Tempus, Grail, DeepMind, Google Health, Oxford Cancer, Parker Institute, and Flagship Pioneering

 

The individuals and organisations listed are referenced solely to highlight the groundbreaking scientific advances that inspire and shape the academic vision of the Oxford Academy of Excellence. While there is no formal affiliation, our curriculum is designed with the same level of ambition, rigour, and global relevance, reflecting the pioneering standards set by these world-leading researchers and institutions.

 

Course Description

This exceptional course provides a research-informed, clinically aligned, and entrepreneurially focused education in the evolving world of personalised oncology. Participants will explore:

  • Multi-omic tumour profiling, liquid biopsy (ctDNA, CTCs), and spatial biology
  • CRISPR-based therapies, bispecific antibodies, and next-gen checkpoint inhibitors
  • AI for diagnostic imaging, radiogenomics, risk stratification, and precision screening
  • Real-world evidence, wearable health data, and federated clinical learning systems
  • Clinical trial redesign: adaptive protocols, digital twins, N-of-1, and remote monitoring
  • Global ethical frameworks (UNESCO, GDPR, HIPAA, WHO) and regulatory innovations (FDA Project Optimus, EMA PRIME)
  • Equity and justice: algorithmic bias, data disparity, and access to precision care in LMICs
  • Translational entrepreneurship: biotech venture building, value-based care, and startup finance

Innovation Sprint:

Participants will engage in a Global Cancer Innovation Sprint, forming cross-disciplinary teams to develop:

  • A translational solution (e.g., AI model, diagnostic tool, digital health platform)
  • A regulatory or ethics-informed policy brief
  • A market strategy or investor-ready pitch deck

Teams receive expert feedback from a panel of oncologists, AI scientists, regulatory advisors, and venture investors (real or simulated), with the opportunity to showcase work in a Global Cancer Leadership Forum.

 

Learning Outcomes

By the end of this course, students will be able to:

  • Apply multi-omic and AI-based approaches to personalised cancer diagnosis and therapy
  • Evaluate real-world case studies in CRISPR, CAR-T, ctDNA, and emerging trial designs
  • Analyse the ethical and legal challenges of data use, AI deployment, and innovation equity
  • Design a solution from molecule to model to market that addresses a critical need in oncology
  • Communicate clinical-scientific strategies effectively to investors, policymakers, or global health agencies
  • Lead translational efforts that combine rigorous science with social impact, market viability, and regulatory safety

Program Structure

At the Oxford Academy of Excellence, each programme is shaped by global educational excellence, combining academic depth with real-world relevance. Our model draws on world-leading pedagogical approaches and is continually informed by pioneering work from institutions such as Harvard, MIT, Oxford, and Stanford, as well as insights from global industry leaders and Nobel Prize-winning research.

 

This structure is designed to be cross-disciplinary, supporting students in fields ranging from health sciences and engineering to sustainability, policy, and innovation. Whether learners aspire to careers in science, technology, entrepreneurship, or public service, they are equipped with the skills, mindset, and knowledge to lead with impact.

 

1. Self-Paced Foundation Modules.

Programmes begin with flexible, high-quality learning modules that build a strong knowledge base. These include:

  • Faculty-led videos from global experts
  • Real-world multimedia cases and readings
  • Interactive quizzes and reflective tasks
  • This phase supports independent learning while building confidence in core concepts.
 

2. Live, Case-Based Mentorship Sessions

Learners engage in mentor-guided workshops focused on applied learning, featuring:

  • Cross-disciplinary case challenges
  • Group problem-solving and simulations
  • Feedback from expert facilitators, researchers, or professionals
    These sessions promote critical thinking, collaboration, and strategic communication.

 

3. Agile, Global-Relevance Curriculum

Every programme is regularly updated to reflect:

  • Breakthroughs in science, technology, and society
  • Input from academic reviewers, mentors, and students
  • Insights from global institutions and innovation ecosystems, including leaders from companies such as Genentech, DeepMind, Google Health, and policy networks like the WHO and the UN

This ensures that all learning remains relevant, future-proof, and adaptable to the changing needs of the world.

Teaching and Assessment Approach

At the Oxford Academy of Excellence, teaching is built on world-class educational design—drawing from the pedagogical practices of institutions such as Harvard, Oxford, and MIT, and guided by frameworks from UNESCO, QAA, and the World Economic Forum. Each course offers an immersive learning experience, led by global experts and shaped by the demands of real-world innovation.


Our teaching philosophy blends academic excellence with transformative, hands-on learning. Students are empowered to think critically and creatively, solve complex interdisciplinary challenges, communicate with clarity and empathy, collaborate across diverse sectors, and reflect on their development and impact.


Teaching methods include case-based masterclasses with leading academics and professionals, live interactive labs, ethical simulations, and leadership challenges. Personalised mentorship aligns with each student’s goals, while interdisciplinary projects are informed by real research and current industry trends.


Assessment is designed not only to evaluate learning but to transform thinking and practice. Students may be assessed through critical reflections, research reviews, practical prototypes, impact reports, peer feedback, oral defences, and innovation sprints. Final outputs often include a portfolio, publication, or policy brief, supported by tailored feedback from a globally recognised mentor.


This approach ensures that students complete their programme with a tangible outcome and a skillset aligned with the world’s most in-demand careers—ready to lead, create, and contribute across science, society, and beyond.

What Sets this Program Apart

At the Nexus of Scientific Discovery, Technological Innovation, and Human Impact

This programme is intentionally positioned at the frontier of modern oncology where molecular medicine meets computational science, and where translational ideas become scalable, ethically informed solutions. Anchored in the intellectual traditions of Harvard, Oxford, MIT, and Stanford, and shaped by the catalytic work of institutions such as the Broad Institute, Flatiron Health, and the Parker Institute for Cancer Immunotherapy, the course offers a rare synthesis of academic depth, technological fluency, and entrepreneurial discipline.

 

It is designed not simply to teach cancer biology or machine learning in isolation, but to cultivate a new generation of leaders who can navigate complexity, design responsibly, and build solutions that bridge scientific excellence with societal need.

 

Mentorship That Mirrors Elite Research and Venture Environments

Participants are embedded in a mentorship model that reflects the collaborative intensity of high-impact research centres and translational innovation hubs. One-to-one academic guidance is provided by experts across oncology, AI, regulatory science, global health equity, and venture building. Learners are mentored not only in technical problem-solving, but in critical reasoning, systems-level thinking, and narrative clarity the capabilities that distinguish those who translate science into real-world leadership.

 

A Learning Architecture Built Around Complexity and Action

The programme’s pedagogical design centres on active engagement with the most urgent challenges in cancer science and healthcare innovation. Through the Global Cancer Innovation Sprint, learners form multidisciplinary teams to conceptualise, prototype, and present translational solutions. These may include:

  • Multi-omic diagnostic platforms for underserved populations,
  • Adaptive trial models incorporating federated learning and digital twins,
  • Market entry strategies for equity-centred biotech,
  • Policy briefs addressing algorithmic bias or global data sovereignty.

Each project is evaluated through structured feedback from clinicians, data scientists, policy leaders, and impact investors—replicating the high-stakes decision-making processes of real-world translational ecosystems.

 

Scholarly Output, Strategic Recognition, and Global Voice

This programme does not treat publication or dissemination as peripheral, but as a core outcome of advanced scholarship and leadership formation. Learners are supported in contributing to:

  • Chapters or book publications in curated academic volumes on cancer innovation, AI in medicine, or global health equity
  • White papers and policy briefs for agencies addressing innovation equity, AI governance, or trial reform,
  • Investor-grade decks or translational science reports for capstone presentation at the Global Cancer Leadership Forum.

 

Each graduate receives a formal Certificate of Excellence and a bespoke letter of academic distinction, curated to reflect both individual achievement and readiness to lead across domains of science, policy, and entrepreneurial transformation.

 

Programme Highlights

• Co-author a professionally curated academic book or contribute a chapter on precision oncology, AI in cancer care, or global health innovation
• Publish a translational science article, policy brief, or innovation commentary developed under expert mentorship and eligible for dissemination via academic or public-facing platforms
• Design and pitch a real-world solution—spanning diagnostics, digital health, or biotech strategy—during the Global Cancer Innovation Sprint
• Receive personalised mentorship from global leaders in cancer genomics, AI, clinical trial design, regulatory science, and health equity
• Earn a Certificate of Excellence and a bespoke academic reference letter to support applications to PhD programmes, fellowships, venture accelerators, or healthcare leadership roles

Personalised Medicine Cancer, AI, and Entrepreneurship

Register Now

If you wish to enroll in the course, please click the ‘Register Now’ button. Our team will reach out to you after reviewing your academic qualifications.

Fill the form below to get registered.