Beacon - EEG Analytics Platform
Beacon provides a scalable EEG analytics platform aimed at accelerating and de-risking therapeutics in neurology, psychiatry, and sleep medicine. Powered by a combination of unique data assets and machine learning algorithms, our platform identifies and standardizes neurobiomarkers to increase the probability of success at each stage of drug development.
Software Overview
Translational Research
Analyze existing EEG for insights into mechanism, PK/PD and patient stratification to guide further development efforts.
Qualified Biomarker Development
Develop and validate neurobiomarkers to improve cohort selection, de-confound standard clinical assessments, and identify novel endpoints.
Efficacy & Dose-Finding
Improve dose-finding with direct neurophysiologic insights and identify promising responses to properly power subsequent trials.
Continuous Analysis
Aggregate and analyze trial data in real-time to ensure consistency across trial sites, prioritize patient safety and reduce trial delays.
Algorithms
State-of-the-art machine learning algorithms built for brain data
Datastore
Unprecedented size and diversity of data linked to clinical phenotype, enabling world-class clinical discovery
Portal
Infrastructure for scalable data science pipelines, streamlined reporting and efficient clinician workflows
Algorithms
Machine Learning Built for Time Series Data
Beacon harnesses deep learning and advanced digital signal processing to build algorithms that can predict expert consensus on EEG events more accurately and reliably than any individual expert. This enables high-resolution interrogation of neurophysiological data and construction of novel endpoints that can't be captured by tools like MRI, actigraphy, or genetic analyses.
Quantitative Sleep Architecture
We go beyond traditional sleep analyses to capture the neural basis of sleep physiology. In addition to algorithmic gold-standard sleep staging from EEG, Beacon’s AI quantifies sleep microarchitecture (e.g. sleep spindles, arousals, etc.) to unlock novel biomarkers for neurodegenerative and psychiatric diseases.
Quantitative Sleep Architecture
We go beyond traditional sleep analyses to capture the neural basis of sleep physiology. In addition to algorithmic gold-standard sleep staging from EEG, Beacon’s AI quantifies sleep microarchitecture (e.g. sleep spindles, arousals, etc.) to unlock novel biomarkers for neurodegenerative and psychiatric diseases.
Datastore
Rapid Biomarker Discovery from Custom Retrospective Cohorts
Beacon’s Datastore™ enables extraction of custom cohorts to precisely match a target patient population. Associated metadata supports identification of strata-specific effects and developing mixed models with other clinical data types. Analysis of custom cohorts can drive mechanistic insights, identify novel endpoints and perform power calculations for subsequent trials.
Brain Data at an Unprecedented Scale
Beacon Datastore™ contains an unparalleled size and diversity of data linked to clinical phenotype, enabling world-class clinical discovery.
Disease Normalization & Synthetic Control Cohorts
Beacon’s Datastore™ includes clinical-grade EEG from thousands of individuals without CNS disease. This normative database accelerates discovery of disease-specific neurobiomarkers and enables identification of drug effects that “normalize” physiologic processes such as sleep architecture.
Portal
Enhanced Reporting For Clinical Trials
Our validated reports summarize subject- and cohort-level results, including clinical EEG interpretation by qualified neurologists and quantitative metrics that would not be possible without automation.
Cloud-based EEG Viewer
The Portal supports end-to-end clinician workflows that combine in-browser signal processing, interactive data visualization and machine learning reader-assist.
Expert Neurologist Network
Our network of epileptologists provide central EEG reading services augmented by Beacon’s AI to improve efficiency and ensure standardization. Expert services include safety and toxicity assessments, as well as physician sign-off on clinical trial reports.
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