A team of researchers have mapped almost 6,000 proteins from different cell types within the eye by analyzing tiny drops of eye fluid that are routinely removed during surgery. The researchers used an AI model to create a ‘proteomic clock’ from this data that can predict a healthy person’s age based on their protein profile. The clock revealed that diseases such as diabetic retinopathy and uveitis cause accelerated aging within specific cell types. Surprisingly, the researchers also detected proteins associated with Parkinson’s disease within eye fluid, which they say could offer a pathway to earlier Parkinson’s diagnoses.