Innovating for Health


Your body is unique, in sickness and in health.

AI analyses huge amounts of health data to find ways to identify, prevent and cure illness.  In the future, this will lead to personalised diagnosis and treatment.

How is the UK leading the way in health technology?

Tiny Variations

The University of Swansea’s lab is using AI to automatically detect different cell types in biological samples such as blood or tissue biopsies. They have successfully used these techniques to detect residual cancer cells left in a patient’s blood after several rounds of chemotherapy, allowing the clinician to target new therapies.

Eye Level

Age-related macular degeneration (AMD) is the biggest cause of sight loss in the UK and USA and is the third largest cause of blindness across the globe. The latest research collaboration from Google Health, DeepMind and Moorfields Eye Hospital published in Nature Medicine shows that AI has the potential to not only spot the presence of AMD in scans, but also predict the disease’s progression. 

Training AI

Advances in Sensor and AI technology allow Waire to push boundaries to deliver exceptional accuracy in a comfortable and elegant solution that works in hospitals and homes 24x7. All Waire devices are fully autonomous – All the patient need do is wear it.


Medicine for You

At AstraZeneca they harness data and technology to maximise time for the discovery and development of potential new medicines. Right now, they are embedding data science and artificial intelligence (AI) across R&D to enable their scientists to push the boundaries of science to deliver life-changing medicines.

Health History

Digital, AI and technology have played a pivotal role in AstraZeneca’s response to the pandemic, helping accelerate the evaluation of potential COVID-19 treatments while maintaining delivery of their innovative pipeline. They have also contributed to cross-industry collaborations, such as the AI assisted COVID-19 diagnostic tool with the University of Cambridge.

Tracking the spread

University College London Computer Science have explored a new deep learning approach for malaia diagnosis deveeloped in collaboration with College of Medicine University of Ibadhan.

This article is only available in English.