PABEL IS AN AI RESEARCH LAB BUILDING FOUNDATION MODELS FOR THE HUMAN BRAIN, TRAINED ON LARGE-SCALE CLINICAL EEG DATA. ITS AI MODELS AIM TO TURN COMPLEX NEURAL ACTIVITY INTO GENERAL-PURPOSE REPRESENTATIONS, HELPING RESEARCHERS IDENTIFY BIOMARKERS OF THERAPEUTIC RESPONSE, FIND PATIENTS MORE LIKELY TO BENEFIT FROM TREATMENT, AND BETTER UNDERSTAND HOW DRUGS AFFECT BRAIN FUNCTION. WITH AN INITIAL FOCUS ON CNS DRUG DEVELOPMENT, PABEL SEEKS TO ADVANCE PRECISION NEUROLOGY AND PSYCHIATRY, WHILE UNLOCKING NEW POSSIBILITIES FOR BRAIN-COMPUTER INTERFACES.