Big Heart Data

Project: Big Heart Data
Client: Kings College London

Big Heart Data explores the role of 3D printing and parametric modelisation in cardiology, and its potential in a personalised healthcare system.The project devises a system for creating personalised digital and 3D-printed models of hearts, which can be used to help doctors plan surgery and facilitate communication within the medical team and with
patients.

Year

2019

Sector

Medical imagery

Discipline

Parametric
3d Printing
Speculative
Storytelling
Exhibition

Ethos

Biomimetism
Personalisation
Selfcare
Empowerement

“Each human heart has a unique anatomy.”

Starting from a speculative exploration in the role of digital tools in the representation of our organs and our relation to personalised treatment and selfcare , we could see a huge potential in 3d printed models to support psychological support of patients and communication with the clinical team.

In collaboration with CME at Kings College London and 3d printing local factory Batchworks, Big Heart Data is a low cost and open source manufacturing system of medical data.

“3d printed models to support the clinical team.”

Cellule were commissioned by Science Gallery London to develop an installation work on the theme of Spare Parts.

Each human heart has a unique anatomy that changes over time and can be influenced by our lifestyle and environment.

What if you could foresee how your own heart would develop and grow?

Using large data sets and artificial intelligence software, computer scientists and clinicians are now aiming to make predictions about the growth and development of individual human hearts from birth through to adulthood.

Designer Salomé Bazin and researcher Pablo Lamata from the Department of Biomedical Engineering at King’s College London developed Big Heart Data to demonstrate the potential of software systems, and design, to visualise future changes in the heart.

By 3D printing heart models from datasets, clinicians and patients can physically encounter an organ before an operation.