Resources

From evidence to impact

Peer-reviewed research and fresh thinking on the future of mental health.

Research Papers

9/29/2025

Safety Evaluation of a Clinical-Grade Generative AI Agent for Anxiety and Depression Symptoms

Preprint

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9/29/2025

Safety Evaluation of a Clinical-Grade Generative AI Agent for Anxiety and Depression Symptoms

Preprint

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5/13/2025

Combining Artificial Intelligence and Human Support in Mental Health: Digital Intervention With Comparable Effectiveness to Human-Delivered Care

JMIR

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4/22/2025

Acceptability of a Conversational Agent–Led Digital Program for Anxiety: Mixed Methods Study of User Perspectives

JMIR Human Factors

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4/1/2025

Self-report measures of fear learning and extinction and their association with internet-based cognitive behavioural therapy outcome

Behaviour Research and Therapy

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10/1/2023

A deep learning quantification of patient specificity as a predictor of session attendance and treatment response to internet-enabled cognitive behavioural therapy for common mental health disorders

Journal of Affective Disorders

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10/1/2023

Trajectories of depression symptoms, anxiety symptoms and functional impairment during internet-enabled cognitive-behavioural therapy

Behaviour Research and Therapy

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8/31/2023

Economic evaluation of 27,540 patients with mood and anxiety disorders and the importance of waiting time and clinical effectiveness in mental healthcare

Nature Mental Health

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6/1/2022

44-LB: Evaluating the Effectiveness of a Novel Form of Online Cognitive Behavioural Therapy for Patients with Type 2 Diabetes and Comorbid Anxiety or Depression

Diabetes

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Our Thinking

4/23/2026

Chronic Pain Programs Are Still Treating Only Half the Patient

Most MSK and chronic pain programs are built around an incomplete model. Here's what the behavioral layer they're missing is costing them — in outcomes, engagement, and ROI.

8/20/2025

ieso Sharpens Focus on AI-Powered Mental Healthcare with Sale of UK Telecare Services Business

ieso is committed to building the future we’ve long envisioned: delivering safe, effective AI-powered mental healthcare at scale.

7/15/2025

Can AI Be as Good as a Human Therapist? This Study Says It Can.

What it takes to prove that AI can work in mental health support – not just as a flashy tool, but as a meaningful intervention.

5/14/2025

Combining AI and Human Support in Mental Health: A Digital Intervention with Comparable Effectiveness to Human-Delivered Care

AI can deliver mental health support as well as humans can.

4/23/2026

Chronic Pain Programs Are Still Treating Only Half the Patient

Most MSK and chronic pain programs are built around an incomplete model. Here's what the behavioral layer they're missing is costing them — in outcomes, engagement, and ROI.

4/16/2026

Diabetes Care Needs to Account for the Mental Load

People with diabetes are more likely to experience depression and anxiety. When mental health goes unaddressed, disease management falters. Here's what integrated support changes.

4/8/2026

Chronic Illness Has a Mental Health Problem

Clinicians and scientists have understood for decades that stress, worry, and feeling down don’t stay in your mind.

3/25/2026

Women’s Health Gets Federal Attention

Insights from the inaugural Health and Human Services National Conference on Women's Health in Washington, DC.

3/10/2026

The Hormonal Blind Spot in Women's Mental Health

A reflection for International Women's Day on hormonal transitions and women's mental health risk across puberty, peripartum, and menopause — and how we can respond better.

3/6/2026

What a Room Full of Health Tech Builders Is Talking About Right Now

Insights from Cornell Tech and Weill Cornell Medicine's Health Tech Summit 2026.

3/3/2026

In Mental Health AI, Safety Is the Floor. Evidence Is What Counts.

The market is waking up to a new reality.

5/14/2025

Combining AI and Human Support in Mental Health: A Digital Intervention with Comparable Effectiveness to Human-Delivered Care

AI can deliver mental health support as well as humans can.

9/29/2025

Safety Evaluation of a Clinical-Grade Generative AI Agent for Anxiety and Depression Symptoms

Preprint

Read paper

5/13/2025

Combining Artificial Intelligence and Human Support in Mental Health: Digital Intervention With Comparable Effectiveness to Human-Delivered Care

JMIR

Read paper

4/22/2025

Acceptability of a Conversational Agent–Led Digital Program for Anxiety: Mixed Methods Study of User Perspectives

JMIR Human Factors

Read paper

4/1/2025

Self-report measures of fear learning and extinction and their association with internet-based cognitive behavioural therapy outcome

Behaviour Research and Therapy

Read paper

10/1/2023

A deep learning quantification of patient specificity as a predictor of session attendance and treatment response to internet-enabled cognitive behavioural therapy for common mental health disorders

Journal of Affective Disorders

Read paper

10/1/2023

Trajectories of depression symptoms, anxiety symptoms and functional impairment during internet-enabled cognitive-behavioural therapy

Behaviour Research and Therapy

Read paper

8/31/2023

Economic evaluation of 27,540 patients with mood and anxiety disorders and the importance of waiting time and clinical effectiveness in mental healthcare

Nature Mental Health

Read paper

6/1/2022

44-LB: Evaluating the Effectiveness of a Novel Form of Online Cognitive Behavioural Therapy for Patients with Type 2 Diabetes and Comorbid Anxiety or Depression

Diabetes

Read paper

5/7/2021

Depression subtypes and their response to cognitive behavioral therapy: A latent transition analysis

Depression and Anxiety

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2/9/2021

Early Warning Signs of a Mental Health Tsunami: A Coordinated Response to Gather Initial Data Insights From Multiple Digital Services Providers

Frontiers in Digital Health

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7/28/2020

Using technology to understand how therapist variables are associated with clinical outcomes in IAPT

The Cognitive Behaviour Therapist

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7/3/2020

Understanding the relationship between patient language and outcomes in internet-enabled cognitive behavioural therapy: A deep learning approach to automatic coding of session transcripts

Psychotherapy Research

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6/29/2020

Refining our understanding of depressive states and state transitions in response to cognitive behavioural therapy using latent Markov modelling

Psychological Medicine (Cambridge University Press)

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8/22/2019

Quantifying the Association Between Psychotherapy Content and Clinical Outcomes Using Deep Learning

JAMA Psychiatry

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5/13/2019

TIM: A Tool for Gaining Insights into Psychotherapy

WWW '19: The World Wide Web Conference

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10/2/2018

Demographic and clinical predictors of response to internet-enabled cognitive–behavioural therapy for depression and anxiety

BJPsych Open

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8/22/2009

Therapist-delivered internet psychotherapy for depression in primary care: a randomised controlled trial

The Lancet

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From evidence to impact

Research Papers

Safety Evaluation of a Clinical-Grade Generative AI Agent for Anxiety and Depression Symptoms

Safety Evaluation of a Clinical-Grade Generative AI Agent for Anxiety and Depression Symptoms

Combining Artificial Intelligence and Human Support in Mental Health: Digital Intervention With Comparable Effectiveness to Human-Delivered Care

Acceptability of a Conversational Agent–Led Digital Program for Anxiety: Mixed Methods Study of User Perspectives

Self-report measures of fear learning and extinction and their association with internet-based cognitive behavioural therapy outcome

A deep learning quantification of patient specificity as a predictor of session attendance and treatment response to internet-enabled cognitive behavioural therapy for common mental health disorders

Trajectories of depression symptoms, anxiety symptoms and functional impairment during internet-enabled cognitive-behavioural therapy

Economic evaluation of 27,540 patients with mood and anxiety disorders and the importance of waiting time and clinical effectiveness in mental healthcare

44-LB: Evaluating the Effectiveness of a Novel Form of Online Cognitive Behavioural Therapy for Patients with Type 2 Diabetes and Comorbid Anxiety or Depression

Our Thinking

Chronic Pain Programs Are Still Treating Only Half the Patient

ieso Sharpens Focus on AI-Powered Mental Healthcare with Sale of UK Telecare Services Business

Can AI Be as Good as a Human Therapist? This Study Says It Can.

Combining AI and Human Support in Mental Health: A Digital Intervention with Comparable Effectiveness to Human-Delivered Care

All Resources

Chronic Pain Programs Are Still Treating Only Half the Patient

Diabetes Care Needs to Account for the Mental Load

Chronic Illness Has a Mental Health Problem

Women’s Health Gets Federal Attention

The Hormonal Blind Spot in Women's Mental Health

What a Room Full of Health Tech Builders Is Talking About Right Now

In Mental Health AI, Safety Is the Floor. Evidence Is What Counts.

Combining AI and Human Support in Mental Health: A Digital Intervention with Comparable Effectiveness to Human-Delivered Care

Safety Evaluation of a Clinical-Grade Generative AI Agent for Anxiety and Depression Symptoms

Combining Artificial Intelligence and Human Support in Mental Health: Digital Intervention With Comparable Effectiveness to Human-Delivered Care

Acceptability of a Conversational Agent–Led Digital Program for Anxiety: Mixed Methods Study of User Perspectives

Self-report measures of fear learning and extinction and their association with internet-based cognitive behavioural therapy outcome

A deep learning quantification of patient specificity as a predictor of session attendance and treatment response to internet-enabled cognitive behavioural therapy for common mental health disorders

Trajectories of depression symptoms, anxiety symptoms and functional impairment during internet-enabled cognitive-behavioural therapy

Economic evaluation of 27,540 patients with mood and anxiety disorders and the importance of waiting time and clinical effectiveness in mental healthcare

44-LB: Evaluating the Effectiveness of a Novel Form of Online Cognitive Behavioural Therapy for Patients with Type 2 Diabetes and Comorbid Anxiety or Depression

Depression subtypes and their response to cognitive behavioral therapy: A latent transition analysis

Early Warning Signs of a Mental Health Tsunami: A Coordinated Response to Gather Initial Data Insights From Multiple Digital Services Providers

Using technology to understand how therapist variables are associated with clinical outcomes in IAPT

Understanding the relationship between patient language and outcomes in internet-enabled cognitive behavioural therapy: A deep learning approach to automatic coding of session transcripts

Refining our understanding of depressive states and state transitions in response to cognitive behavioural therapy using latent Markov modelling

Quantifying the Association Between Psychotherapy Content and Clinical Outcomes Using Deep Learning

TIM: A Tool for Gaining Insights into Psychotherapy

Demographic and clinical predictors of response to internet-enabled cognitive–behavioural therapy for depression and anxiety

Therapist-delivered internet psychotherapy for depression in primary care: a randomised controlled trial

Ready to take your care platform to the next level?