Accelerate Research with Scalable Cancer Data Science Tools
Enhance high-code researchers' capabilities and empower low-code researchers to analyze complex cancer data
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Streamline code development with scalable data-aware compute environments integrated with essential biostatistics and bioinformatics tools
Ask AI agents complex research questions in natural language, generate visualizations, and create cohorts without writing a single line of code
Enhance teamwork with a unified project view that integrates data, code, notes, and comments. Share research securely and efficiently within your team
Navigate complex cancer data in the semantic space of research using a searchable library of reports about cancer diagnoses, medications, biospecimen availability, procedures, genomic variants, and more.
Explore data in files, tables, and variables using our searchable data catalog. The catalog indexes extensive metadata including descriptions of variables, data dictionaries, lineage, and data transformations. It makes your data FAIR.
Quickly assess the feasibility of hypotheses and build cohort datasets with an intuitive AI-powered natural language interface.
Spin up data-integrated, scalable, pre-configured environments in R, SAS, Python, and Nextflow with one click—no need for complex devops.
Collaborate seamlessly with other researchers using projects that integrate research data, transformations, notes, and comments in a single, shareable context.
Interact with cancer data using an AI-powered, chat based user interface. The agent is — fine-tuned the idiosyncrasies of cancer and your specific data, eliminating the need for coding to answer many questions.
Benefit from a scalable, modern data infrastructure optimized for cancer research, with data harmonization and semantic annotations that drastically reduce data wrangling and boost research efficiency.
Query genetic variants in seconds from our optimized representation. Transform raw sequencing data with our advanced pipelines, powered by Nextflow and AWS Batch.
Support reproducible science and academic collaboration with our platform using tools like Git and a shared digital lab notebook. Collaborate privately and, when ready, publish to your organization securely.
Resources
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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.
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.
Accelerating Clinical Research: Harnessing Multi-modal Data, AI, and Secure Collaboration
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.
Accelerating Clinical Research: Harnessing Multi-modal Data, AI, and Secure Collaboration
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.
Healthcare Innovation Q&A: Manifold CEO Vinay Seth Mohta on Building a Platform for Clinical Research
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.
Healthcare Innovation Q&A: Manifold CEO Vinay Seth Mohta on Building a Platform for Clinical Research
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.