Advancing mental health science

Ieso’s research team combines expertise in clinical science, artificial intelligence, and software engineering. We work to understand the causes of mental illness and to find the most effective way to help our patients get better as quickly as possible.

To do that, we mine the most comprehensive mental health therapy dataset in the world, covering more than 250,000 therapy hours. We analyse that data using advanced statistical techniques, including deep learning, to find out what moves patients to recovery, what works for whom, and what keeps patients engaged in therapy.

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CBT formulation on an ipad

How science is changing our understanding of psychological therapy

Creating tools for therapists

Understanding the active ingredients in CBT is enabling us to build tools to empower clinicians to be the best they can be.

Ieso’s clinical decision support tool uses AI to help therapists assess patients more effectively, by providing therapists with insights into each patient’s diagnoses, severity of symptoms and likelihood of engaging with therapy. This provides clinicians with the greatest chance of making good clinical decisions during the assessment session, creating a solid foundation for effective treatment.

Our data is enabling us to understand more about what aspects of therapy work for different people, based on variables such as behavioural, cognitive, and biochemical biomarkers. We will be using our data to bring personalised care to mental health treatment.

We are also conducting research to learn how we can prevent relapse, and potentially stop mental illness from occurring.

We’re able to capture data at volumes that have been impossible until this point in time. But it’s not just about capturing data, it’s about translating data into insights to create knowledge, and then translating that knowledge into a form that’s useable in every moment of clinical interaction with patients.

Andy Blackwell

Chief Science Officer

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