Weijia Li tells us about Transformative’s aspirations for Data Pitch and beyond.


Describe your Data Pitch challenge idea


Transformative employs predictive analytics in order to transform healthcare. Today, patients with chronic medical conditions suffer life-threatening complications without warning. In the future, patients and healthcare providers will use Transformative tools to identify the subtle physiologic changes that precede the appearance of symptoms, allowing for personalised preparation and prevention. By using predictive analytics, we will be able to save lives.


What does the idea set out to achieve?


Predictive analytics is the next frontier in medicine. Transformative applies world-class machine learning techniques to healthcare, a sector that continues to apply outdated 20th century technology to data interpretation. Our aim is to shift the emergency medicine model from rapid response to personalised preparation and prevention, providing the life-saving gift of time. The connection between non-invasive monitoring technologies, cloud-based data transmission, and advanced computing has the power to transform healthcare. We harness these tools to empower patients and healthcare providers to avoid complications.


What makes your idea different or unique?


We use cutting-edge AI and analysis tools from CERN and the University of Cambridge for our technology. It combines new developments in AI and process design. Our technology aims to detect minute changes in patient physiology, which will save lives, reduce operating costs, and represent significant clinical gains.


Where did the idea come from?


Our co-founder and chief medical officer is an emergency medicine physician. He recognised that much of his work involved reacting to life-threatening complications of chronic diseases, and that predicting and preventing these complications would improve the health of his patients. He joined two scientists at Cambridge, a data scientist and a machine learning expert, to develop predictive software that would make this vision a reality. Together, the aim is to transform healthcare.


What excites you about the challenge you applied for?


We are excited about using AI and new data analysis techniques to improve healthcare for patients and healthcare providers. The data that we will use for this challenge is being collected in every hospital, but is only used short-term. We use the data that already exists to create new value and ultimately save lives.


How did your team meet?


Our co-founding team met while studying at the University of Cambridge. Marek Sirendi completed his PhD in Physics, Josh Oppenheimer completed his MBA to complement his MD, and Marek Rei is a postdoctoral machine learning researcher.


What’s the best thing about working with data?


The best thing about working with data is the possibility of creating value from something that is already being collected but is under-utilised.


Anything else you want to tell us about your startup and why you do what you do?


We are passionate about creating a solution that empowers clinicians to save lives and gives renewed hope to patients.