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Using genetics and healthcare data to understand disease and create innovative medicines

Safe People

Organisation name

Novartis

Organisation sector

Commercial

Applicant name(s)

Jonathan Chung

Funders/ Sponsors

Safe Projects

Project ID

OFHS250141

Lay summary

The aim of this study is to improve our understanding of how different diseases develop and progress. By doing so, we hope to find new and safer treatment options. Additionally, the study seeks to discover better methods for early detection and ongoing monitoring of diseases, as well as to identify which groups of patients are most likely to benefit from specific treatments across a wide range of health conditions. Novartis wants to help people live longer and healthier lives by creating new medicines for diseases that don’t have good treatments yet. To do this, we’ll use data from Our Future Health (OFH), the UK’s largest health research program. It includes genetic and healthcare information from a wide range of people. By studying this data, we aim to understand what causes complex diseases, how they develop, and why they affect people differently. This will help us find new drug targets, group patients more effectively, and predict possible side effects. These insights can also lead to better tools for early diagnosis and new uses for existing medicines. In the end, this research will support safer, more precise, and innovative treatments for many health conditions.

Public benefit statement

This research uses genetic and medical data to understand how diseases begin and develop. With this knowledge, we aim to create new medicines and better treatments. By including a large, diverse group of people, we can make sure our discoveries help many communities, reduce health gaps, and bring medical advances to those who need them most.

Request category type

Public Health Research

Other approval committees

Project start date

30/04/2026

Latest approval date

21/02/2026

Safe Data

Dataset(s) name

Safe Setting

Access type

TRE

Safe Outputs

Link to research outputs