Brain research has a data problem. Scientists often work with small sample sizes that limit what they can learn about how brains develop and function. Dr. Gregory Kiar's team at the Child Mind Institute is solving this by creating synthetic patients, fictional people with statistically realistic medical records that don't correspond to any actual person.
These artificial datasets let researchers study brain health patterns across much larger populations than traditional research allows. Because the data comes from computer models rather than real people, scientists can share findings freely without privacy concerns. This breaks down one of the biggest barriers in neuroscience research: the need to keep patient information confidential while still advancing medical knowledge.
The work addresses a real gap in child neurology and psychiatry. Many brain disorders show up differently in different children, which means understanding them requires studying hundreds or thousands of cases. Real-world research ethics and privacy laws make collecting that much data difficult. Synthetic patients offer a way around this bottleneck.
This approach doesn't replace actual patient research. Instead, it supplements it. Researchers can use synthetic data to test theories, refine study designs, and identify promising directions before launching expensive clinical trials with real participants. It also helps researchers in smaller institutions or countries access the kinds of datasets that larger academic centers normally have.
Dell Technologies is supporting this work because artificial intelligence and computing power make synthetic data generation possible at scale. As Dr. Kiar's team evaluates how well these computer-generated patients mimic real human neurology, they're also creating a template other institutions can use.
For parents, this matters because better brain science leads to better diagnosis and treatment of developmental disorders, ADHD, autism, anxiety, and other conditions that affect children. It speeds up the time between discovery and real-world application. And it does so while protecting actual children's privacy.
The Child Mind Institute continues to publish findings from this research publicly, helping the broader scientific community access tools that