Advances in AI are allowing scientists to mine vast amounts of genomic data to detect disease earlier, predict risk and tailor treatments to individuals. But at the heart of this lies an old, constant problem – the data used to build these tools lack diversity. South Asian scientists now want to build their own tools
Advances in AI are allowing scientists to mine vast amounts of genomic data to detect disease earlier, predict risk and tailor treatments to individuals. But at the heart of this lies an old, constant problem – the data used to build these tools lack diversity. South Asian scientists now want to build their own tools
<iframe src="https://hindustansphere.com/embed/cluster/f6437292032c4010ef7daaa73e5b94ecdc6c7d4a" width="100%" height="320" style="border:0;max-width:680px" loading="lazy" title="South Asians are missing from global health databases: why this matters and what needs to change"></iframe>
Advances in AI are allowing scientists to mine vast amounts of genomic data to detect disease earlier, predict risk and tailor treatments to individuals. But at the heart of this lies an old, constant problem – the data used to build these tools lack diversity. South Asian scientists now want to build their own tools
