Together with Ayasdi, we are exploring new ways of understanding next-generation sequencing data. Through application of Topological Data Analysis, we aim to enable precision medicine by identifying cancer subtypes and driver genes.
The Open Medicine Institute (OMI) is applying a big data approach to the health care system to advance the understanding of complex diseases including: Autism, Chronic Fatigue, Lyme, Parkinson’s and other conditions. Based on the analysis of multiple data sources ranging from patient-contributed assessments to sophisticated genomic profiling, and working with a worldwide network of experts, OMI is accelerating collaborative research to develop new, effective treatments and diagnostic markers. Integrating Ayasdi’s Toplogical Data Analysis has helped streamline OMI's focus on high-value information from a sea of clinical and research data.
Single-cell RNA sequencing has progressed rapidly in the last few years, to the point where it is now possible, for the first time, to obtain quantitatively accurate portraits of single-cell RNA content. Using Ayasdi’s solution, we can describe the methods to achieve single-cell quantitative gene expression measurements, and some of the surprising discoveries that emerge from such analysis.
Predicting near-term risk of stroke in patients with atrial fibrillation, a common heart rhythm disorder, remains a major clinical challenge and unmet need. Conventional frequentist and Bayesian approaches have failed to provide meaningful classification of near-term risk. Using Ayasdi's IRIS platform and topological data analysis, we are exploring methods to "phenotype" dynamic patterns of atrial fibrillation using raw data from implanted medical devices. Our goal is to identify patterns of heart rhythm disturbances that could be used to predict near-term risk of events in real-time.
Upstream oil and gas activities on major hydrocarbon assets -- such as exploration, appraisal, and field development -- often require significant capital resources and billions of dollars. We are excited about working with Ayasdi to glean new insights from subsurface geological, geophysical, petrophysical, and engineering production data. More importantly, we can then optimize development planning for unconventional shale and deepwater assets in North America and around the world.
We are thrilled to collaborate with Ayasdi to offer Ayasdi Cure to key member organizations as it is completely unique from all of the other advanced analytics tools that we have used. With Ayasdi's help, we believe that we'll accelerate the development of therapies for asthma by identifying more precise patient sub-populations that will lead to better patient outcomes.
Using Ayasdi's solution, which employs Topological Data Analysis (TDA) methods, the USDA 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.
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 solution 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!
As one of the largest medical genetics centers in the United States, we conduct pioneering research to identify the genetic susceptibilities--or predispositions-- of many diseases, including cancer. Ayasdi has already helped us glean new insights that will lead to breakthrough drug discoveries.
Calit2's Qualcomm Institute Using deep metagenomic sequencing of stool samples our team has studied the variation of microbial ecology across 300 subjects and 500 microbial species. Ayasdi has been very valuable in seeing through the large interpersonal variation to detect persistent patterns separating healthy subjects from those patients with Crohn's disease and Ulcerative Colitis, two forms of the autoimmune Inflammatory Bowel Disease.
SumAll.org harnesses big data to create tangible, real-world solutions to pressing social problems, such as homelessness, poverty, drug addiction, war crimes, education and human trafficking. Through civic analytics, impact measurement and data-driven intervention strategies, SumAll.org works with nonprofits to define new approaches that support vulnerable populations. By partnering with Ayasdi, the door opens for high-impact, rapid analytics, and which in turn creates scalable implementations that can be applied globally, extending reach and creating measurable social impact.
Our work has focused on identifying pathological phenotypes and endotypes in asthma. We have used (TDA) as a one of the principal tools in investigating whether or not integrated pathological endotypes of patients with asthma across the spectrum of treatment intensity exist. TDA has played an important part in helping to identifying potential pathological phenotypes in asthma.
Case Studies, Success Stories, Customer Stories & Customer References of individual Ayasdi customers - their use cases, successful stories, approaches, and customer success results of using the software or service. Read these Case Studies, Success Stories, Customer Stories & Customer References to decide if Ayasdi is the right business software or service for your company.
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