AI for SLRs in Health Economics and HTA

Project idea: AI-supported living evidence synthesis for health and cancer research

Puraite offers to lead the work package on evidence synthesis and explainable AI in a Horizon Europe consortium under the 2027 Health Cluster or Cancer Mission calls. We do not intend to coordinate. We look for an experienced academic or clinical coordinator and complementary partners around this contribution.

What we contribute

- Lead of a work package on systematic and living reviews: search, screening, data extraction, risk of bias, meta-analysis and reporting, all run on our platform with full traceability of every AI decision

- Explainable AI methods for clinical evidence: human-in-the-loop validation, audit trails and transparent model reasoning as input to trustworthy AI tasks

- Continuous evidence updates during the project as input for health economic models, HTA dossiers, clinical guidelines and outcome studies

- SME contribution to exploitation, dissemination and sustainability plans

Partners we seek

- Academic partners in clinical epidemiology, evidence-based medicine, HTA, health economics and cancer outcomes research

- Clinical partners and hospital networks that produce or apply guideline evidence

- Industry partners in clinical AI, pharma HEOR, medical devices or health data infrastructure

- Coordinators with a forming consortium for HORIZON-MISS-2027-02-CANCER-04, HORIZON-HLTH-2027-03-TOOL-08 or HORIZON-HLTH-2027-01-CARE-02

Type of cooperation

Partner looking for a consortium. We can also connect interested partners with each other around the evidence synthesis topic and help shape the work package description during proposal preparation.

Contact: Schahin Baki, CEO, Puraite, Bielefeld, Germany