Learn how we're pioneering a new wave of precision medicine, explore our collection of publications, disease studies, webinars, thought leadership, and more
Genetic Risk Factors for ME/CFS Identified using Combinatorial Analysis
Groundbreaking study published in the Journal of Translational Medicine provides the first detailed genetic insights into the mechanisms underpinning ME/CFS
Patient Stratification of Asthma Population Reveals Distinct Genetic & Mechanistic Differences between T2-High and T2-Low Asthma
The PrecisionLife platform identified 2,483 SNPs that were highly associated with T2-high asthma and 1,182 SNPs in the T2-low cohort with only 36 common between the two datasets.
Combinatorial analytics: An Essential Tool for the Delivery of Precision Medicine
An Opinion, published in the new Open Access Journal Artificial Intelligence in the Life Sciences from Elsevier, describes the need to extend our current analytical methods to effectively interrogate population data sets
Can AI Help us Solve the Population Health Crisis?
This article dicusses utilizing combinatorial analytics and AI to uncover drivers of chronic diseases and improve clinical trial design in ways never before possible
Chronic diseases, which account for 85% of healthcare costs, still have significant remaining pockets of unmet medical need that cause significant reductions in quality of life for patients, and high socioeconomic burdens.
Combinatorial Analysis of Phenotypic and Clinical Risk Factors Associated With Hospitalized COVID-19 Patients
The study undertaken by PrecisionLife and Optum Labs leaders Taryn O. Hall and Kathy T.H. Zheng using data from UnitedHealth Group’s COVID-19 Data Suite via the UHG Clinical Discovery Portal.
59 Potential Drug Repurposing Candidates Identified in Fight Against COVID-19
Oxford, UK – Using PrecisionLife’s proprietary AI enabled precision medicine platform we have identified 59 re-purposing drug candidates that could be used to develop new therapeutic strategies to increase the survival rate of patients who develop sepsis while suffering from severe COVID-19.
68 Risk-associated Genes Identified from Analysis of Hospitalized COVID-19 Patients
Oxford, UK – PrecisionLife’s unique AI platform has found 68 genes associated with risk of developing severe COVID-19 after analysis of the genomes of 929 patients from the UK Biobank who had a severe response to SARS-CoV-2
