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MOBERG AI ECOSYSTEM

Moberg CLOUD Platform

THE FUTURE OF MULTIMODAL DISCOVERY

The Moberg Cloud Platform facilitates data management by aggregating and harmonizing data collected in the neuro ICU for multimodal research and clinical trial management.

POWERED BY

SECURE
PATIENT DATA
UPLOAD

CENTRALIZED
MULTIMODAL DATA
MANAGEMENT

EFFICIENT
CLINICAL TRIAL
OVERSIGHT

COLLABORATIVE
MULTIVARIATE
DATA ANALYSIS

MOBERG CLOUD PLATFORM

a CUTTING-EDGE,
Neurocritical Care Data tool

A VERSATILE AI-ENABLED DATA SYSTEM

Remotely interact with multimodal data, annotate findings with precision, and customize displays for tailored research requirements. 

AN EFFICIENT PATIENT ENROLLMENT DATABASE

Track research study patient enrollment and manage multi-center data collection, fostering seamless collaboration and centralized data management. 

A NOVEL MEANS FOR accessING multimodal data

Provide a single access point for PIs, data scientists, and biocomputational centers to effortlessly retrieve harmonized multimodal data.

AN INTELLIGENT DATA ANALYTICS GATEWAY

Analyze and deploy AI algorithms collaboratively, harnessing the power of advanced analytics for impactful research outcomes.

Share neurocritical care ARCHIVES through secure patient data upload

Moberg Cloud Platform: Secure Patient Data Upload

Organize patient records with centralized multimodal data management

Moberg AI Ecosystem: Moberg Clinical Platform, Moberg Cloud Platform
Moberg AI Ecosystem: Moberg Clinical Platform, Moberg Cloud Platform

Intuitively track research subject enrollment with EFFICIENT clinical trial oversight

  • Organize multi-center data collection by tracking site- and user-specific contributions to the growing data pool

  • Browse and review patient metadata such as available data types and data quality

  • Manage data storage usage across projects or for different users

  • Control data access according to easy-to-manage roles and permissions

Moberg Cloud Platform: Effortless Clinical Trial Oversight

Explore your data using collaborative multivariate data analysis

Moberg Cloud Platform: Collaborative Multivariate Data Analysis

THE MOBERG CLOUD PLATFORM

The future of multimodal discovery

  • Solves intricate neuro ICU data management challenges like secure patient data upload, centralized multimodal data management, and clinical trial oversight, sparing users from heavy IT investment and overhead.
  • Presents a comprehensive solution for exploring multimodal data through AI-powered capabilities, enabling remote interaction, precise annotation, and collaborative multivariate analysis.
  • Fosters collaboration among stakeholders by providing unparalleled access to harmonized multimodal data, empowering impactful research outcomes and propelling neurocritical care forward.
  • Your hospital institution doesn’t allow you to store patient
    information in the cloud? No need to worry!
  • Automatically convert proprietary data formats (e.g., Moberg CNS Monitor, Natus, etc.) to open-source and widely adopted data formats (CSV, HDF5, EDF+, etc.)
  • Automatically remove PHI/PII for hundreds to thousands of patient archives at once
  • Perform bulk de-identification and data conversion (and analysis) of patient data using our Moberg Analytics Client from your own local machine

Where the Moberg Cloud Platform makes a difference

Clinical Trials & Data Management

We have supported several clinical trials dealing with high resolution multimodal data, enabling them to move their research forward.

 

PRECICECAP, EBOOST, BOOST3, INDICT, AUTO-BOOST, etc.

Curing Coma Research Database

We are building a database for the Curing Coma, Coma Quality Improvement Program to collect comatose patients harmonized using NINDS CDEs to inform the continuous improvement of coma treatment quality.

 

Leads: DaiWai Olson (UTSW) & Claude Hemphill (ZSFGH)

UPenn Research Database

With clinical support from Penn Medicine and the University of Pennsylvania, we are leveraging the cloud and big data to tackle unanswered questions related to cerebral autoregulation and spreading depolarizations.

 

Leads: Ramon Diaz-Arrastia & Rachel Thomas

UCincinnati Research Database

We are deploying a cloud environment for the University of Cincinnati Medical Center, which will allow researchers to collaborative review, annotate, and analyze their multimodal data from anywhere.

 

Lead: Brandon Foreman

Clinical Trials & Data Management

We have supported several clinical trials dealing with high resolution multimodal data, enabling them to move their research forward.

 

PRECICECAP, EBOOST, BOOST3, INDICT, AUTO-BOOST, etc.

Curing Coma Research Database

We are building a database for the Curing Coma, Coma Quality Improvement Program to collect comatose patients harmonized using NINDS CDEs to inform the continuous improvement of coma treatment quality.

 

Leads: DaiWai Olson (UTSW) & Claude Hemphill (ZSFGH)

UPenn Research Database

With clinical support from Penn Medicine and the University of Pennsylvania, we are leveraging the cloud and big data to tackle unanswered questions related to cerebral autoregulation and spreading depolarizations.

 

Leads: Ramon Diaz-Arrastia & Rachel Thomas

UCincinnati Research Database

We are deploying a cloud environment for the University of Cincinnati Medical Center, which will allow researchers to collaborative review, annotate, and analyze their multimodal data from anywhere.

 

Lead: Brandon Foreman

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A growing company whose members bring together decades of experience in multimodal neuromonitoring, cloud technology, and artificial intelligence to provide better care for acute brain-injured patients. 

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Archive multimodal data sets in the cloud for remote access

  • Upload data to the cloud manually for prospective research studies or with automated tools for retrospective databases of patient records
  • Automatically stream continuously acquired data from bedside in real-time
  • Fill out NINDS CDE-compatible eCRFs on patients in clinical trials
Moberg Cloud Platform: Secure Patient Data Upload

Use integrated displays to understand complex relationships existing in multimodal data

  • Review raw data, processed EEG, and multimodal trends and waveforms
  • Visualize indices of cerebral autoregulation (PRx, CPPopt, COx, MAPopt)
  • Visualize data using novel integrated displays
Moberg AI Ecosystem: Moberg Clinical Platform, Moberg Cloud Platform
Moberg AI Ecosystem: Moberg Clinical Platform, Moberg Cloud Platform

Build profiles of displays to share between you and your team

  • Configure flexible multimodal displays that support complex data interpretation
  • Support specific research needs with customized profiles and displays
Moberg AI Ecosystem: Moberg Clinical Platform, Moberg Cloud Platform
Moberg AI Ecosystem: Moberg Clinical Platform, Moberg Cloud Platform

Deploy ready-to-go analytics on patient data for advanced analytics

  • Run models for spreading depolarization detection
  • Use published and well-tested algorithms to detect and filter artifacts from waveform signals (e.g., ECG, ABP, ICP, etc.)
  • Interface with third-party algorithms and run them on one centralized platform