Pediatric diseases can be difficult to diagnose accurately and quickly, leading to delayed treatment and worse outcomes for patients. Pupillometry is a non-invasive and objective method of measuring changes in pupil size in response to light stimuli, which has been used to detect various diseases in adults. We recruited a sample of children and adults who were diagnosed with various diseases including infectious, neurological, and respiratory conditions. Each participant underwent pupillometry testing, during which we measured their pupil size in response to different light stimuli. Our results showed that pupillometry was able to accurately distinguish between healthy participants and those with various diseases, achieving a sensitivity of 90% and specificity of 86%. Overall, our findings suggest that pupillometry has potential as a tool to detect genetic diseases using pupillometry.