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Science & Research

We believe in Responsible Innovation

We believe in taking a responsible approach to innovation that places our patients at the heart of everything we do: the mental healthcare we deliver, the research we conduct, and the products we develop.

Mental health is complex... so we bring together the best scientific and clinical minds to learn from the data


At ieso, we aim to make high-quality, evidence-based mental healthcare accessible to all. Around the world, individuals in need often have to wait too long for help, and even when it does come it may be poor quality or not be right for them. While we’ve seen tremendous progress in other areas of healthcare over the past 50 years, mental health has fallen behind. We’re determined to change that.

Just like for physical healthcare, we’ve shown learning from data can transform best practice in care. We’re using the latest scientific methods to help crack the challenge, producing digital products that are derived from scientific data analysis and clinically validated.

ieso Therapy Service captures, with permission, the exchange between a therapist and patient. Coupled with session-by-session progress measures, ieso has a globally unique, de-identified dataset that we analyse to increase the quality and effectiveness of therapy.

Psychological therapy can be highly effective...


But historically it has been impossible to predict which elements of therapy provide specific benefits to patients. The result? A relatively inefficient, one-size-fits-all approach to mental healthcare where only approximately 50% of patients recover.

ieso’s approach allows us to overcome the traditional barrier: how can we possibly improve therapy when past conversations are lost - captured only by imperfect human memory?

We’re focused on three key challenges to deliver safe and effective products that are engaging and trusted:

Start sooner

ieso's Therapy Service allows patients to access treatment faster and makes therapy delivery more efficient (6.1 ieso sessions vs. the average 7.5 sessions). Accessing psychological therapy sooner is associated with better mental health outcomes) and lower healthcare costs.

Improve quality

We have developed AI-based tools to monitor 100% of therapy delivered. By measuring session-by-session patient progress and analysing precise elements of psychological therapy, we are pinpointing the ‘active ingredients’ of therapy to help ensure that each patient receives exactly the right care.

Treat smarter

Often people suffering from very different things are grouped together under a broad diagnosis like “depression”. Our research has uncovered different sub-types of mental health conditions and shown how people with different types follow specific trajectories on their path to recovery. This offers new ways to personalise treatments that provide therapies that are most likely to help everyone.

Transforming mental healthcare through research


Truly transforming mental healthcare requires deep research and innovation. To understand how to make therapy more effective for more people, we need to learn how patients' treatment outcomes relate to the therapy they are given. The answers lie in health and care data; the key to unlocking them is research.

We share our findings to help advance mental health science

We publish our research findings in peer-reviewed academic journals (e.g., The Lancet; JAMA), as well as through easier to read blogs and newsletters. We want our findings and insights to be shared to help drive progress across the whole field of mental health science research. For updates on when we publish new research papers, blogs and other resources sign up to our newsletter.

The importance of waiting time and clinical effectiveness in mental healthcare
Catarino, A., Harper S., Malcolm, R., Stainthorpe, A., Warren, G., Margoum, M., Hooper, J., Blackwell, A.D, Welchman, A.E.
2023
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Economic evaluation of 27,540 patients with mood and anxiety disorders and the importance of waiting time and clinical effectiveness in mental healthcare

The relationship between patient language and outcomes
Ewbank, M. P., Cummins, R., Tablan, V., Catarino, A., Buchholz, S., & Blackwell, A. D.
2021
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ieso commissioned this research study, using a deep learning approach, to understand the relationship between patient language and outcomes in internet-enabled cognitive behavioural therapy.

Depressive states and state transitions in CBT
Catarino, A., Fawcett, J. M., Ewbank, M. P., Bateup, S., Cummins, R., Tablan, V., & Blackwell, A. D.
2020
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ieso uses a data-driven approach to define fluid depressive states and explore how patients transition between these states in response to cognitive behavioural therapy (CBT).

Using tech to associate therapist variables with outcomes
Bateup, S., Palmer, C., & Catarino, A.
2020
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ieso uses therapy transcripts derived from internet enabled cognitive behavioural therapy (CBT) treatment sessions to understand how therapist variables are associated with clinical outcomes in IAPT

Associating psychotherapy content and clinical outcomes
Ewbank, M. P., Cummins, R., Tablan, V., Bateup, S., Catarino, A., Martin, A. J., & Blackwell, A. D.
2019
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In this study, ieso adopts a deep learning model to automatically categorize therapist utterances from approximately 90 000 hours of internet-enabled cognitive behavior therapy (CBT).

Perceptions of chatbots in therapy
Bell, S., Wood, C., & Sarkar, A.
2019
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ieso piloted a comparative study of therapy sessions following the interaction of 10 participants with human therapists versus a chatbot to recommend ways of overcoming the drawbacks of chatbots

TIM: Psychotherapy insights tool
Cummins, R., Ewbank, M. P., Martin, A., Tablan, V., Catarino, A., & Blackwell, A. D.
2019
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ieso introduces and demonstrates the usefulness of a tool that automatically annotates therapist utterances in real-time according to the therapeutic role

Demographic and clinical predictors of outcome
Catarino, A., Bateup, S., Tablan, V., Innes, K., Freer, S., Richards, A., ... & Blackwell, A. D.
2018
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This study, commissioned by ieso, investigates the demographic and clinical predictors of response to one-to-one CBT delivered via the internet

We work in partnership with like-minded organisations to accelerate progress to better mental health

There’s no time to waste – so we’re working with complementary partners across different sectors to drive new insight into mental health. We’ve partnered with over 15 organisations across Biopharma, Academia and Healthcare, including Roche, King's College London, the University of Cambridge and NHS Dorset Healthcare University.

Meet the team

Dr Clare Palmer

Director of Evidence Generation

Dr Sam Lawes

Head of Research Operations

Dr Ana Catarino​

Director of Clinical Science

Dr Louise Marshall

Director of Mental Health Innovation

Dr Ronan Cummins

Director of AI Research

Dr Michael Ewbank

Principal Scientist

Dr Andy Blackwell

Group Chief Science & Strategy Officer

Dr Valentin Tablan

Chief Artificial Intelligence Officer

Dr Andrew Welchman

EVP Impact & Corporate Development

Science news

Our approach means we’re continually gathering a new understanding of what works in treatment, and why. Read our latest news, research and articles written by people shaping the future of mental healthcare.

Join us on our journey to improve mental health access for all


We are now accepting a select number of customers to partner on our journey to scale clinically effective tools to support access to mental healthcare.