Genetic and health record data from deceased patients with rare conditions has helped researchers identify new treatment targets. For example, researchers used donated medical records to discover new genetic markers.

Your social media posts and phone usage patterns could help researchers understand early warning signs of depression. Similar studies have used anonymised data to identify changes in communication patterns that precede depressive episodes, leading to earlier interventions.

Email and app usage data has revealed how different age groups adapt to new technologies. This helped design more accessible interfaces for elderly users.

Analysis of forum participation and social network data has shown how online support groups benefit people with chronic conditions, leading to better community design.

Twitter as a Potential Data Source for Cardiovascular Disease Research

https://pubmed.ncbi.nlm.nih.gov/27680322/

Digital phenotyping and sensitive health data: Implications for data governance

https://pmc.ncbi.nlm.nih.gov/articles/PMC8363798/