AInotate
Project Overview
University
Year
About
AInotate transforms how health research portfolios are analysed by automating the annotation of grants, papers, patents, and clinical records using an on-device large language model. It extracts policy-relevant metadata in seconds, enabling decision-makers to track trends, evaluate impact, and inform strategy in near real time. Designed for health ministries, funding bodies, and research institutions, it replaces months of manual work with rapid, scalable insights, supporting agile policymaking, resource allocation, and evidence-based planning across the global health landscape
Team
Beining Zhang
Professor Michael Head
Markus Brede
Anbang Du
"Anbang Du is a researcher in AI and health policy. He has published first-author research articles in The Lancet Oncology. With influence spanning the Commonwealth Secretariat, the WHO, and health ministries around the world, Anbang’s work is shaping policy conversations globally and has been featured by 19 international media outlets. Anbang’s team is launching AInotate, a GenAI-based platform that exponentially shortens the data-to-policy loop. It accurately tags research and health data with policy-ready metadata—turning policy and R&D planning into an agile, on-the-go workflow and enabling leaders to spot trends, allocate resources, and act on evidence in near real time."