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Manifold, a leading AI-native Trusted Research Environment (TRE) for modern scientific collaboration, today welcomes a group of influential industry veterans to help shape the future of data and AI in life sciences R&D —both as commercial leaders to drive our growth and as visionary customers to inform our platform innovation.

As the research community continues to rely on data shared by the National Institutes of Health (NIH), ensuring the security of that data continues to be an important requirement. Last year, the NIH issued an implementation update to the NIH Genomic Data Sharing Policy (GDS Policy), which outlines requirements for researchers accessing, storing, or processing large-scale human and non-human genomic data generated from NIH-funded research. The update was designed to continue to promote responsible data management and access under the GDS Policy and ensure the broad and responsible sharing of NIH genomic data for research that advances human health. 

The Broad Institute of MIT and Harvard is partnering with Manifold to bring a unique life science research and development platform to investigators around the world.

When we began exploring the collaboration between Manifold and the Broad Institute, we knew this had to be more than a transactional relationship. From the outset, trust and a shared mission to accelerate the pace of biomedical science guided our efforts.

Strategic collaboration will introduce AI-enabled tools, optimized data sharing, bring your own cloud (BYOC) support, and enhanced scalability

Leading cancer research institute will use Manifold's Cancer Data Science and Observational Study solutions to generate insights from previously siloed data sets

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.

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.

Join experts from Indiana University, Manifold, and Snowflake for an on-demand eWebinar where you'll learn how to break down data silos, integrate and analyze large-scale clinical and multi-modal data, and collaborate securely with both internal teams and external institutions. Discover how to leverage AI to automate data operations and surface insights faster, enabling more efficient and impactful research.

VOICES of Black Women, the largest population study of Black women in the United States, will be the first of American Cancer Society’s large-scale population studies to be initiated using an AI-driven data management platform—promising to bring observational cancer research out of the age of Excel data files and email sharing.

By year's end, staff expect to see a reduction in time spent on manual tasks and a reduction in duplicative research data generation leading to an overall reduction in ongoing operational costs.

Observational studies are pivotal in driving cancer breakthroughs, providing insights into the environmental, lifestyle, and genetic factors that influence cancer development and prevention. This real-world data is the cornerstone of targeted prevention strategies, leading to life-saving discoveries.

Manifold, a data platform startup company that supports clinical researchers, recently announced that the American Cancer Society (ACS) will leverage its platform to modernize its population research study management. Manifold CEO Vinay Seth Mohta recently spoke to Healthcare Innovation about the pain points in clinical research his company is addressing.

Leading cancer research institution will use the Manifold Observational Study technology to deliver a better experience for participants, study managers, and principal investigators

New leaders bring deep industry expertise from former roles at Kyruus Health, Health Catalyst, Glytec, HubSpot, and Veeva

RamaOnHealthcare talks with Vinay Seth Mohta Co-Founder and CEO of Manifold, an AI-powered clinical research platform that streamlines the manual workflows of modern study and data management, enabling researchers to do more high-impact research and collaborations with fewer resources.

Initially founded as an AI lab in 2016, startup Manifold is using its AI expertise to modernize the tech infrastructure of clinical research organizations to help accelerate cancer studies.

Time-to-insight… It’s a metric you don’t hear about much. But it’s a lurking factor throttling the rate of scientific progress in cancer research. So what’s holding us back?

Indiana University Melvin and Bren Simon Comprehensive Cancer Center and Winship Cancer Institute of Emory University are among the early adopters of Manifold’s purpose-built platform