Digital Health and AI
Digital Health and AI
The Digital Health and AI theme brings together interdisciplinary work that designs, deploys, and evaluates digital tools (e.g., apps, databases, digital data-collection systems) and applies AI methods (machine learning, NLP, participatory modelling) to improve health outcomes, especially in global health contexts. It spans (i) robust and ethical data pipelines and governance, (ii) development and evaluation of digital health interventions, and (iii) trustworthy, equity-aware AI that translates diverse data (surveys, qualitative data, social media, digital phenotypes and other signals) into actionable insights for policy and practice.
Digital phenotyping and smartphone-enabled prediction for mental health.
Advancing smartphone-based approaches to detect and predict mental health problems by combining app development, passive data/digital phenotypes, and AI/data-science workflows, designed with an eye to translation into clinical pathways and real-world service use.
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Digital health governance, equity, and strategic partnerships.
Developing a centre-level agenda aligned with digital health governance priorities, digital inclusion, gender inequality, and human-rights considerations in digital health strategies and policies, while preparing the internal concept note and portfolio needed for a potential partnership/application with the WHO Digital Health and Innovation Department (including a pathway that builds from existing funded work to future funding opportunities.
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Data infrastructure, remote data collection, and ethical-by-design pipelines.
Building the “digital backbone” for research and implementation: remote/cloud-based data collection systems, bespoke data infrastructure, data management planning, and approvals pathways (e.g., IDG and ethics) to enable secure, scalable, and reproducible studies across settings.
Digital health interventions and service redesign (remote consulting and user preference).
Designing and evaluating digital health interventions, particularly models of mobile/remote consultingLink opens in a new window, alongside work to understand what users value in digital health via preference elicitation (e.g., discrete choice experiments), and strengthening education/training exposure through teaching-linked activities.
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AI and digital enabled innovation for community, respiratory, and environmental health.
A portfolio of applied digital/AI innovations across health challenges and contexts, including: cough-sound analytics and smartphone tools for respiratory conditions (e.g., TB), frugal/digitally supported spirometry, digital approaches within climate-malaria work, digital reporting tools for violence (real-time + retrospective), and digital/social-platform approaches supporting marginalised groups (e.g., LGBTQ+ youth HIV outreach; engagement gaps in NHS talking therapies).
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Rights based digital health.
We conduct research and advocate for rights-based digital governance globally globally, using a transnational participatory action research approach, centring the voices and leadership of diverse young adults to define the future of human rights in the digital age.
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Theme Leads
Dr Sagar Jilka, Warwick Applied Health
Professor Sara (Meg) Davis