Ayasdi is helping us glean new insights that will lead to breakthrough drug discoveries. Eric Schadt Director of the Icahn Institute for Genomics and Multiscale Biology
Ayasdi is helping us glean new insights that will lead to breakthrough drug discoveries.
There is a continuing need to be able to distinguish the various serotypes and pathotypes of E. coli and Shigella in order to understand the relationships among these strains collected during food-associated outbreaks. Where conventional approaches failed to detect considerable patterns from FFP (feature frequency profile) data, Iris successfully fragmented the data to produce a meaningful phylogenetic tree. This allows scientists to associate a disease not only by heredity but also by virulence, which indicates how dangerous a specific bacterial strain is.
Ayasdi is collaborating with Merck, one of the world's largest pharmaceutical companies, to discover insights and analyze datasets for drug discovery and genomic research.
Ayasdi is helping us glean new insights that will lead to breakthrough drug discoveries Eric Schadt Director of the Icahn Institute for Genomics and Multiscale Biology
Ayasdi is helping us glean new insights that will lead to breakthrough drug discoveries
As one of the leading institutes of the National Institute of Health, NIAID conducts applied research to better understand, treat, and prevent infectious, immunologic, and allergic diseases.
We have several groundbreaking collaborations with leading research groups from Stanford University. At Stanford, Ayasdi helps to explore clinical diagnosis of peripheral artery disease, discover insights about Autism by analyzing brain MRI data (voxels) to research, and understand segmentation across ovarian cancer patients with respect to chemotherapy response.
Traumatic brain injury (TBI) remains a major cause of death and disability. Identification and classification of patients most likely to benefit from treatment is considered one of the most significant challenges. Using Ayasdi’s Iris with Topological Data Analysis, we identified distinct groups within the patients thus enabling us to tailor effective treatment that increases survival rate. This is a major breakthrough in TBI diagnosis and treatment! Adam Ferguson Assistant Adjunct Professor of Neurological Surgery
Traumatic brain injury (TBI) remains a major cause of death and disability. Identification and classification of patients most likely to benefit from treatment is considered one of the most significant challenges. Using Ayasdi’s Iris with Topological Data Analysis, we identified distinct groups within the patients thus enabling us to tailor effective treatment that increases survival rate. This is a major breakthrough in TBI diagnosis and treatment!
Using Ayasdi Iris, which employs Topological Data Analysis (TDA) methods, we reconstructed the relationship structure of E. coli O157:H7 survival in 32 soils (16 organic, 16 conventional) from California (CA) and Arizona (AZ) with a multiresolution output. The analysis revealed a complex interaction between E. coli O157:H7, soil microbiota, and soil properties in the survival of this pathogen in the soils studied.
Second Genome is a microbiome science company providing discovery and development of therapeutic products with leading pharmaceutical and nutrition companies.
The Lawrence Berkeley National Lab conducts unclassified scientific research in all realms of scientific investigation for the Department of Energy.
The National Hospital Ambulatory Medical Care Survey is part of the CDC and collects data on the utilization and provision of ambulatory care services in the U.S.
The Intelligence Advanced Research Projects Activity is a US research and intelligence agency under the Director of National Intelligence.
Ayasdi's use of Topological Data Analysis (TDA) is ground-breaking, and Ayasdi's technology makes it easy for anyone to mine and discover insights in large, multi-dimensional data sets to drive rapid innovation in clinical trials and drug discovery. Amanda Enstrom Research Scientist
Ayasdi's use of Topological Data Analysis (TDA) is ground-breaking, and Ayasdi's technology makes it easy for anyone to mine and discover insights in large, multi-dimensional data sets to drive rapid innovation in clinical trials and drug discovery.
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Eric Schadt
