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Research Infrastructure to Scale Your Science
Trusted by research organizations of all sizes—from small teams to world-renowned institutions—to collaborate seamlessly on large scale data, run omics processing workflows, follow large cohorts, and much more
Partnering with world-renowned institutions and cutting-edge innovators
"Researchers need one place to connect siloed data, carry out analyses, and collaborate across organizations without compromising security. Good technology infrastructure lets researchers spend less time in data management and more time in the science of their projects."
Dr. Alpa V. Patel PhD
Senior Vice President, Population Science, American Cancer Society
Platform
Fully integrated suite of data collection, analysis, and collaboration tools purpose-built to accelerate scientific research
Data Operations
Connect siloes of clinical and multi-omic data and automate its transformation into analysis-ready form
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Data Analysis
Analyze data how you want, from no-code to highly scalable compute, without the set up time
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Collaboration and Sharing
Collaborate securely with colleagues, institutions, and industry in a trusted research environment with advanced analysis tools
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Study Operations
Manage cohort studies and patient registries in a single end-to-end platform with an engaging user experience
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Explore Manifold's core solutions
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150+
Terabytes of multimodal data
3,000+
Automated data ingestions
50K+
Registered users
1.5M+
Unique study participants
Solutions
Fit-for-purpose solutions for clinical research leaders in cancer and rare disease.
Cancer Observational Study
Streamline legacy systems and manual processes with a single study and data management platform.
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Cancer Center Biobank
Reduce and turnaround time and increase productivity by connecting biospecimen data and clinical data in a single data management platform.
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Cancer Center Registry
Unify clinical and multimodal data on a modern platform to enable automated data preparation into a research-ready patient model.
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Rare Disease Registry
Answer research questions about diagnoses, treatments, and outcomes quickly and easily.
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Resources
Press Releases
Morehouse School of Medicine Partners with Manifold to Integrate Social Determinant and Genomic Data, Advancing Understanding of Disparities in Cancer in Under-Researched Groups
Leading cancer research institute will use Manifold's Cancer Data Science and Observational Study solutions to generate insights from previously siloed data sets
Press Releases
Morehouse School of Medicine Partners with Manifold to Integrate Social Determinant and Genomic Data, Advancing Understanding of Disparities in Cancer in Under-Researched Groups
Leading cancer research institute will use Manifold's Cancer Data Science and Observational Study solutions to generate insights from previously siloed data sets
In The News
MedCity News: We’re Overcomplicating Healthcare AI — Here’s How We Achieve Impact Beyond The Hype
It’s important that we focus attention on the areas where AI is already having a significant impact. These are the practical applications that will allow the best and brightest researchers to focus on science rather than data munging.
In The News
MedCity News: We’re Overcomplicating Healthcare AI — Here’s How We Achieve Impact Beyond The Hype
It’s important that we focus attention on the areas where AI is already having a significant impact. These are the practical applications that will allow the best and brightest researchers to focus on science rather than data munging.
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Blog
Enhancing Access and Usability of Multimodal Data: Building a Cancer-Specific Data System to Accelerate Research at Indiana University
The landscape of cancer research is rapidly evolving with the integration of multimodal data, including tissue analysis, clinical records, genomic sequencing, and imaging. By harnessing this rich array of cancer-specific data, researchers gain a comprehensive understanding of disease, leading to more accurate diagnoses and personalized treatments.
Blog
Enhancing Access and Usability of Multimodal Data: Building a Cancer-Specific Data System to Accelerate Research at Indiana University
The landscape of cancer research is rapidly evolving with the integration of multimodal data, including tissue analysis, clinical records, genomic sequencing, and imaging. By harnessing this rich array of cancer-specific data, researchers gain a comprehensive understanding of disease, leading to more accurate diagnoses and personalized treatments.