Beacon Biosignals raises $27M to scale EEG, AI-based neurobiomarker discovery platform

Neurotech startup Beacon Biosignals scores $27M to bring AI to EEG analysis (MedCity News): Electroencephalography is a decades-old technique for capturing brain activity, data that are used to evaluate brain disorders. Beacon Biosignals is applying artificial intelligence to these tests, and the neurotechnology startup has found a ready market in pharmaceutical companies interested in assessing how their experimental brain therapies are working. Now Beacon Biosignals has something else: $27 million in financing. During an electroencephalogram (EEG) procedure, electrodes are affixed to the patient’s scalp. Over a period of time, typically up to an hour, those electrodes capture electrical signals from the brain. By analyzing those signals, clinicians can learn what’s happening with the brain. This insight can help diagnose brain and sleep disorders. However, analyzing EEGs is labor intensive and interpretation of these tests can vary from one clinician to another. Beacon Biosignals says its technology can overcome the limitations of human analysis of EEGs.…Beacon Biosignals has assembled what it claims is one of the world’s largest clinical EEG databases. By applying its proprietary machine-learning algorithms to the database, the company says it has identified neurobiomarkers—biological indicators that are associated with certain groups of patients, drug activity, and therapeutic efficacy. The Announcement: Beacon Biosignals raises $27 Million Series A led by Gener...
Source: SharpBrains - Category: Neuroscience Authors: Tags: Brain/ Mental Health Technology & Innovation artificial intelligence Beacon Biosignals brain disorders brain signatures brain-activity Cumulus Neuroscience EEG EEG brain signatures electroencephalography Kernel machine-learning n Source Type: blogs