Nurturing Tomorrow’s Leaders

We help students and professionals gain the knowledge, skills and experiences to power innovation in healthcare AI.

Fundamentals of Healthcare AI Innovation

Gain Key Skills & Knowledge

Learn the essentials of healthcare AI innovation. We cover entrepreneurship, clinical research, finance, law, and business with a strong practical emphasis. Our integrated approach aims to build the next generation of healthcare AI innovations without wasting time on unnecessary jargon or theory.

Basics of Machine Learning

Learn the fundamentals of machine learning and its applications in healthcare AI. This course covers essential concepts, algorithms, and techniques to solve real-world healthcare challenges, focusing on data preprocessing, model training, and performance evaluation.

Introduction to AI Entrepreneurship

Master the basics of starting and running a successful venture in healthcare technology. Learn about ideation, business modeling, and essential startup skills specific to AI-driven solutions.

Clinical Validation: From Bench-to-Bedside

Explore the journey of AI innovations from the lab to patient care. Understand the processes and challenges involved in validating new solutions in real-world healthcare settings.

Financing Healthcare AI Innovation

Navigate the world of startup funding, from initial seed capital to larger funding rounds, and learn effective pitching techniques tailored for AI projects in healthcare.

Legal Essentials for AI Ventures

Gain a comprehensive understanding of the legal landscape in the healthcare industry. Focus on regulations, compliance, and the legal aspects of bringing new AI-driven products to market.

The Micro-MBA for Healthcare AI

Acquire essential business skills tailored for the healthcare sector. Learn about business strategy, financial management, and operational efficiency to ensure your AI venture’s success.

High-Impact Career Pathways

Build An Outstanding Career

We’re building the next generation of healthcare AI innovators dedicated to revolutionizing patient care through technology. We’ll provide you with the tools to excel in your job search and master interviews in various AI-focused healthcare careers.

Machine Learning Engineer

Design, develop, and deploy machine learning models to solve complex healthcare problems. Learn the intricacies of model development, data preprocessing, and algorithm selection specific to healthcare applications.

Clinical Development

Work on the application of AI in clinical settings, focusing on developing and validating AI tools for diagnostics, treatment planning, and patient monitoring. Gain skills in translating AI research into clinical practice.

AI Safety

Ensure the safe deployment of AI systems in healthcare. Focus on risk assessment, ethical considerations, and compliance with regulations to protect patient safety and privacy.

Medical Affairs

Support the integration of AI into healthcare practices by working with medical professionals to interpret AI findings, educate stakeholders, and ensure that AI applications meet clinical needs.

Venture Capital & Private Equity

Master the art of funding and investment in the healthcare AI sector. Learn about venture capital, private equity, and strategies for securing financial support for innovative AI-driven healthcare solutions.

Clinical Academia

Explore strategies for conducting research in healthcare AI, including grant writing, study design, and publishing. Focus on building and scaling research programs that advance AI in healthcare.

Healthcare AI Innovation Fellowship

Designed for university students passionate about transforming healthcare with artificial intelligence, this initiative offers an immersive experience including hands-on project work with our incubator and startups, mentorship from industry experts, and structured learning sessions covering AI fundamentals and real-world healthcare applications.

Students gain invaluable insights, develop innovative AI solutions to healthcare challenges, and prepare for future leadership roles in the healthcare AI landscape. They also build networks and experiences which they can leverage in their future careers.

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