MOBERG 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.

Moberg Cloud Platform

Secure patient data upload

Centralized multimodal data management

Efficient clinical trial oversight

Collaborative multivariate data analysis

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

Organize patient records with centralized multimodal data management

Intuitively track research subject enrollment with efficient clinical trial oversight

Explore your data using collaborative multivariate data analysis

The Moberg Cloud Platform

The future of multimodal discovery

Where the Moberg Cloud Platform makes a difference

Clinical Trials & Data Management

We have supported several clinical trials, including PRECICECAP, EBOOST, BOOST3, INDICT, AUTO-BOOST, etc., dealing with high resolution multimodal data, enabling them to move their research forward.

 

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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Archive multimodal data sets in the cloud for remote access

Use integrated displays to understand complex relationships existing in multimodal data

Build profiles of displays to share between you and your team

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