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class="search-submit">Search</button> </form> </li><li class="menu-item menu-item-type-custom menu-item-object-custom menu-item-6067"><a href="#">Global</a></li> </ul> </div> </div> </div> </div> </div> </header> <div class="page-content"> <div class="hero" style="background-image: url(https://somalogic.com/wp-content/uploads/2022/07/Hero_Texture-11-scaled.jpeg);height: 600px;" title="Splash of teal and pink color"> <div class="container"> <div class="grid"> <div class="cell-md-8"> <p class="breadcrumbs"><a href="/">Home</a> / Education / Resources / <span class="blue">Posters</span></p> <h1>Posters</h1> </div> </div> </div> </div> <div class="wrap"> <div class="container"> <div class="grid whitepapers"> <div class="cell-md-12"> <div class="cards"> <div class="card grey resource-card" style="background-image: url(https://somalogic.com/wp-content/uploads/2024/06/USHUPO_BiomarkersCVPoster_FeatImg-768x402.jpg);" title="Abstract patterns of data, representing low CV from the SomaScan Assay"> <div> <div class="content"> <h3><span class="up">Poster</span>Optimizing biomarker discovery with focus on low coefficient of variation in large-scale proteomics</h3> <p>Coefficients of variation (CV) describe innate technical variation in high throughput molecular measurement platforms and are a standard metric for characterizing and monitoring assay precision. Median CVs range from ~4.5% to 18.0% for immunoassay technology, 1 up to >30% for mass spectrometry,2 ~5% for the SomaScan® Assay, and ~10% for the Olink Explore Assay (Figure 1). Large CVs can cause technical variability to overwhelm biological signal.</p> </div> <p class="a-center"><a href="https://somalogic.com/poster/optimizing-biomarker-discovery-with-focus-on-low-coefficient-of-variation-in-large-scale-proteomics/" class="btn dark-blue-border">Learn more</a></p> </div> </div><div class="card grey resource-card" style="background-image: url(https://somalogic.com/wp-content/uploads/2024/07/dementiaAAIC_2024_FeatImg-768x402.jpg);" title="Abstract illustration of human brain with active neural network"> <div> <div class="content"> <h3><span class="up">Poster</span>A proteomic predictor of conversion from mild cognitive impairment to dementia with potential utility in enhancing productivity of emerging clinical trials</h3> <p>A significant proportion of individuals with mild cognitive impairment (MCI) develop dementia, with annual conversion rates exceeding 10%. Earlier dementia diagnosis and intervention can improve outcomes, and new disease-modifying drugs are being repositioned for the preclinical stages of illness.</p> </div> <p class="a-center"><a href="https://somalogic.com/poster/a-proteomic-predictor-of-conversion-from-mild-cognitive-impairment-to-dementia-with-potential-utility-in-enhancing-productivity-of-emerging-clinical-trials/" class="btn dark-blue-border">Learn more</a></p> </div> </div><div class="card grey resource-card" style="background-image: url(https://somalogic.com/wp-content/uploads/2024/05/AAIPoster2024_FeatImg_v2-768x402.jpg);" title="Molecular structure illustration"> <div> <div class="content"> <h3><span class="up">Poster</span>Quantitative immunology protein panel built on the SomaScan Assay platform</h3> <p>The SomaScan® assay is a highly multiplexed proteomic assay that uses SOMAmer® reagents to detect proteins in various biological samples. The latest version of the SomaScan assay allows researchers to measure over 11,000 proteins in human blood. The SomaScan assay is designed to provide protein epitope abundance measurements by reporting relative SOMAmer reagent abundance quantified using DNA microarrays. </p> </div> <p class="a-center"><a href="https://somalogic.com/poster/quantitative-immunology-protein-panel-built-on-the-somascan-assay-platform/" class="btn dark-blue-border">Learn more</a></p> </div> </div><div class="card grey resource-card" style="background-image: url(https://somalogic.com/wp-content/uploads/2023/11/comparisonOfCVRisk_FeatImg-768x402.jpg);" title="Close up of bubbles in lab sample"> <div> <div class="content"> <h3><span class="up">Poster</span>Comparison of Proteomic CV Risk to Established ASCVD 10-Year Risk Decision Points</h3> <p>The ASCVD pooled cohort equation (PCE) is well-established for CV risk assessment. Decision points for determining treatment plans are low, intermediate and high risk over 10 years, however this approach over and underestimates risk in certain subgroups. The validated CV Risk SomaSignal® Test (SST) provides 4-year risk probability of MACE allowing for timely assessment of risk, but the shorter timescale makes comparison to 10-year PCE risk less intuitive.</p> </div> <p class="a-center"><a href="https://somalogic.com/poster/comparison-of-proteomic-cv-risk-to-established-ascvd-10-year-risk-decision-points/" class="btn dark-blue-border">Learn more</a></p> </div> </div><div class="card grey resource-card" style="background-image: url(https://somalogic.com/wp-content/uploads/2023/11/PharmaFingerPrints_FeatImg-768x402.jpg);" title="Abstract image of bar chart"> <div> <div class="content"> <h3><span class="up">Poster</span>Statin signature: using proteomics to detect pharmacological fingerprints</h3> <p>Using a previously described metacohort (n=5,575) of patients with increased CV risk, we hypothesized that PCE would stratify patients differently than the CV Risk SST, and that CV Risk score scaled to 10 years would yield an improved net reclassification index (NRI).</p> </div> <p class="a-center"><a href="https://somalogic.com/poster/statin-signature-using-proteomics-to-detect-pharmacological-fingerprints/" class="btn dark-blue-border">Learn more</a></p> </div> </div><div class="card grey resource-card" style="background-image: url(https://somalogic.com/wp-content/uploads/2023/11/liverDisease_FeatImg_v2-768x402.jpg);" title="Abstract image of human liver"> <div> <div class="content"> <h3><span class="up">Poster</span>Using a proteomics-based cardiovascular risk test to identify systemic changes in a clinical trial of nonalcoholic fatty liver disease</h3> <p>Improvement in hepaKc inflammaKon, NAFLD acKvity score and fibrosis were associated with improved proteomic CV risk scores regardless of treatment provided.</p> </div> <p class="a-center"><a href="https://somalogic.com/poster/using-a-proteomics-based-cardiovascular-risk-test-to-identify-systemic-changes-in-a-clinical-trial-of-nonalcoholic-fatty-liver-disease/" class="btn dark-blue-border">Learn more</a></p> </div> </div><div class="card grey resource-card" style="background-image: url(https://somalogic.com/wp-content/uploads/2023/11/diabeticDrugBens_FeatImg-768x402.jpg);" title="Pile of diabetic pills"> <div> <div class="content"> <h3><span class="up">Poster</span>Utilization of proteomic surrogates for early detection of unexpected drug benefits</h3> <p>Detection of benefits and adverse effects of therapies in early clinical trial phases could improve the safety, efficiency, and cost of clinical trials. Earlier identification of their benefits beyond improved diabetic control may have had the potential to save loss of patients’ lives and years of sales.</p> </div> <p class="a-center"><a href="https://somalogic.com/poster/utilization-of-proteomic-surrogates-for-early-detection-of-unexpected-drug-benefits/" class="btn dark-blue-border">Learn more</a></p> </div> </div><div class="card grey resource-card" style="background-image: url(https://somalogic.com/wp-content/uploads/2023/09/HUPOKoreaPoster_Featimg-768x402.jpg);" title="Close up of sample tubes filled with plasma"> <div> <div class="content"> <h3><span class="up">Poster</span>Normalization to external reference for reduction of technical variation</h3> <p>Mitigation of technical variability is a key aspect in relating proteomic biomarkers to clinical endpoints. A primary source of variability comes from inherent issues in the actual technology used to measure the protein levels in a sample, but additional variability can come from many different sources, including plate differences, sample handling differences, and study or cohort differences. Without bridging samples, these different sources of variation can lead to difficulties in combining different cohorts and across studies longitudinally, preventing researchers from sharing data easily. Here, we present results for normalization to an external reference population, which allows us to combine datasets without the need for bridging samples.</p> </div> <p class="a-center"><a href="https://somalogic.com/poster/normalization-to-external-reference-for-reduction-of-technical-variation/" class="btn dark-blue-border">Learn more</a></p> </div> </div><div class="card grey resource-card" style="background-image: url(https://somalogic.com/wp-content/uploads/2023/08/EASL_featImg-768x429.jpg);" title="Doctor holding hologram of human liver"> <div> <div class="content"> <h3><span class="up">Poster</span>Latest research shows benefit of non-invasive, high-plex protein profiling for liver disease</h3> <p>Learn about using high-plex, aptamer-based protein profiling for NASH research through these three SomaLogic assets. Watch one webinar and download two posters that each highlight NASH research.</p> </div> <p class="a-center"><a href="https://somalogic.com/poster/latest-research-shows-benefit-of-non-invasive-high-plex-protein-profiling-for-liver-disease/" class="btn dark-blue-border">Learn more</a></p> </div> </div><div class="card grey resource-card" style="background-image: url(https://somalogic.com/wp-content/uploads/2023/06/manAloneNearWindow-768x512.jpg);" title="Overweight alone man staring out window"> <div> <div class="content"> <h3><span class="up">Poster</span>Proteomic Indicators of Metabolic Health in Diabetes and Social Deprivation</h3> <p>Understanding the health impacts of socioeconomic deprivation (SED) and its interaction with type 2 diabetes is important for patient care and effective public health initiatives. Large-scale proteomic profiling using aptamer-based technology to measure 7,000 proteins has facilitated the development of blood-based proteomic signatures for 11 cardiometabolic SomaSignalTM Tests (SST)</p> </div> <p class="a-center"><a href="https://somalogic.com/poster/proteomic-indicators-of-metabolic-health-in-diabetes-and-social-deprivation/" class="btn dark-blue-border">Learn more</a></p> </div> </div><div class="card grey resource-card" style="background-image: url(https://somalogic.com/wp-content/uploads/2023/06/dna_featuredImage_6_23-768x482.jpg);" title="Illustration of DNA strands"> <div> <div class="content"> <h3><span class="up">Poster</span>Heritability, pQTLs, and environmental influence on proteins involved in age, cardiovascular risk, and glucose tolerance using the SomaScan® Assay</h3> <p>Protein quantitative trait locus (“pQTL”) studies identify genetic variants that are statistically associated with protein levels. Results from the growing number of pQTL studies can be combined with genome-wide association studies to identify proteins that underlie the genetic risk of disease, thus revealing the mechanisms of disease and potential drug targets.</p> </div> <p class="a-center"><a href="https://somalogic.com/poster/heritability-pqtls-and-environmental-influence-on-proteins-involved-in-age-cardiovascular-risk-and-glucose-tolerance-using-the-somascan-assay/" class="btn dark-blue-border">Learn more</a></p> </div> </div><div class="card grey resource-card" style="background-image: url(https://somalogic.com/wp-content/uploads/2023/04/heartArtwork_CVD_poster_preview-768x512.jpg);" title="Image of human heart"> <div> <div class="content"> <h3><span class="up">Poster</span>The Plasma Proteome as a Cardiovascular Disease Risk Assessment Tool in Cancer Survivors</h3> <p>Cardiovascular disease (CVD) is the most common non-cancer cause of death in cancer survivors and there is an unmet clinical need for easy, accurate, and safe CVD prognostic risk-stratification in adult cancer survivors. This study investigated whether a previously validated 27-plasma protein prognostic model for four-year cardiovascular (CV) events could have such a utility. </p> </div> <p class="a-center"><a href="https://somalogic.com/poster/the-plasma-proteome-as-a-cardiovascular-disease-risk-assessment-tool-in-cancer-survivors/" class="btn dark-blue-border">Learn more</a></p> </div> </div><div class="card grey resource-card" style="background-image: url(https://somalogic.com/wp-content/uploads/2023/04/cancer_cells_poster_previdew-768x512.jpg);" title="Cancer cells"> <div> <div class="content"> <h3><span class="up">Poster</span>Efficient development of prognostic tests for detecting cancer risk using proteomic technology</h3> <p>Prognostic models for assessing future health outcomes can be developed using time-to-event (also known as “survival”) data. This methodology is ubiquitous in statistical literature and in the analysis of cancer outcomes, but its use in high-dimensional analyses tends to be limited as the methods are difficult to implement in a machine learning environment. Additionally, development of certified prognostic clinical tests using proteomic biomarkers for detecting future cancer risk can be time-consuming, prone to overfitting issues, and difficult to navigate. We demonstrate the utility of combining SomaScan® proteomic data with pipeline machine learning tools and survival analysis methodology to identify powerful and robust LDT-certifiable prognostic tests for assessing future risk of cancer. </p> </div> <p class="a-center"><a href="https://somalogic.com/poster/efficient-development-of-prognostic-tests-for-detecting-cancer-risk-using-proteomic-technology/" class="btn dark-blue-border">Learn more</a></p> </div> </div><div class="card grey resource-card" style="background-image: url(https://somalogic.com/wp-content/uploads/2023/03/humanHeartPreviewImage-768x432.jpg);" title="Illustration of human heart"> <div> <div class="content"> <h3><span class="up">Poster</span>Predicting risk of future events in individuals with chronic coronary syndromes</h3> <p>Evaluate whether a previously validated 27-protein prognostic model for four-year cardiovascular event risk can be used to stratify patients with suspected chronic coronary syndrome (CCS)</p> </div> <p class="a-center"><a href="https://somalogic.com/poster/predicting-risk-of-future-events-in-individuals-with-chronic-coronary-syndromes/" class="btn dark-blue-border">Learn more</a></p> </div> </div><div class="card grey resource-card" style="background-image: url(https://somalogic.com/wp-content/uploads/2023/03/coronavirus-posterPreview-768x499.jpg);" title="Illustration of coronavirus"> <div> <div class="content"> <h3><span class="up">Poster</span>Utility of proteomic trajectories of cardiovascular risk and cardiorespiratory fitness to monitor adverse health states throughout post-COVID-19 illness</h3> <p>Cardiovascular involvement is a prominent observation in patients during the acute phase of COVID-19 infection, as well as in convalescence. However, the etiology, trajectory, and underlying biology of cardiac dysfunction across the spectrum of COVID-19 illness is not fully understood. To address this, the CISCO-19 study (NCT04403607) was formed to investigate the multisystem effects of COVID-19 from hospitalized patients</p> </div> <p class="a-center"><a href="https://somalogic.com/poster/utility-of-proteomic-trajectories-of-cardiovascular-risk-and-cardiorespiratory-fitness-to-monitor-adverse-health-states-throughout-post-covid-19-illness/" class="btn dark-blue-border">Learn more</a></p> </div> </div><div class="card grey resource-card" style="background-image: url(https://somalogic.com/wp-content/uploads/2023/03/GenomicsImagePreview-768x526.jpg);" title="Image of samples in lab"> <div> <div class="content"> <h3><span class="up">Poster</span>Identifying genetic and environmental influences on proteins associated with age, cardiovascular risk, and other endpoints using the SomaScan® Assay</h3> <p>Protein quantitative trait locus pQTL studies identify genetic variants that are statistically associated with protein levels Results from the growing number of pQTL studies can be combined with genome wide association studies to identify proteins that underlie the genetic risk of disease, thus revealing the mechanisms of disease and potential drug targets.</p> </div> <p class="a-center"><a href="https://somalogic.com/poster/identifying-genetic-and-environmental-influences-on-proteins-associated-with-age-cardiovascular-risk-and-other-endpoints-using-the-somascan-assay/" class="btn dark-blue-border">Learn more</a></p> </div> </div><div class="card grey resource-card" style="background-image: url(https://somalogic.com/wp-content/uploads/2023/03/DNA_Preview-768x432.jpg);" title="Preview image of human DNA"> <div> <div class="content"> <h3><span class="up">Poster</span>SomaScan® Platform confirmation and performance validation</h3> <p>The SomaScan® Platform for proteomic profiling uses 7288 (7K) SOMAmer® reagents, single stranded DNA aptamers, to 6596 unique Human Protein Targets. The modified aptamer binding reagents1, SomaScan assay2, its performance characteristic for 5k3 and 7k4 content sets, and specificity5,6,7 to human targets have been previously described. We combine profiles of validation and performance metrics with orthogonal confirmation of specificity from published literature to provide a comprehensive view of the specificity and utility of the SomaScan Platform.</p> </div> <p class="a-center"><a href="https://somalogic.com/poster/somascan-platform-confirmation-and-performance-validation/" class="btn dark-blue-border">Learn more</a></p> </div> </div><div class="card grey resource-card" style="background-image: url(https://somalogic.com/wp-content/uploads/2022/12/lungTumor-preview-1-768x435.jpg);" title="Illustration of lung tumor"> <div> <div class="content"> <h3><span class="up">Poster</span>Aptamer-based analysis of plasma proteome of growing tumors </h3> <p>With proteins, the presence of a tumor is more often accompanied with changes in the levels of endogenous, unmutated proteins in circulation. In this context, knowing which proteins represent the earliest markers or tumor presence would be enormously useful.</p> </div> <p class="a-center"><a href="https://somalogic.com/poster/aptamer-based-analysis-of-plasma-proteome-of-growing-tumors/" class="btn dark-blue-border">Learn more</a></p> </div> </div><div class="card grey resource-card" style="background-image: url(https://somalogic.com/wp-content/uploads/2022/12/heart-preview-768x432.jpg);" title="Illustration of heart and circulatory system"> <div> <div class="content"> <h3><span class="up">Poster</span>Prognostic proteomic models for low event rates: A case study with myocardial infarction</h3> <p>We have developed and assessed a novel prognostic model development method combining two statistical techniques – survival analysis and subsampling – using existing machine learning tools in R.</p> </div> <p class="a-center"><a href="https://somalogic.com/poster/prognostic-proteomic-models-for-low-event-rates-a-case-study-with-myocardial-infarction/" class="btn dark-blue-border">Learn more</a></p> </div> </div><div class="card grey resource-card" style="background-image: url(https://somalogic.com/wp-content/uploads/2022/12/plasmaSamples-preview-768x512.jpg);" title="Image of a set of lab samples"> <div> <div class="content"> <h3><span class="up">Poster</span>Proteomic Models to Predict Pre-Analytical Variation</h3> <p>In biomarker discovery, it is critical to assess any pre-analytical variation (PAV) in order to avoid artificial bias in the intended measurements. PAV may arise from both avoidable and unavoidable factors, resulting in misleading data and incorrect conclusions. Proteins, in particular, are vulnerable to variation in collection methods, storage temperatures, and processing protocols. It is vitally important to understand this PAV when analyzing samples using protein assays.</p> </div> <p class="a-center"><a href="https://somalogic.com/poster/proteomic-models-to-predict-pre-analytical-variation/" class="btn dark-blue-border">Learn more</a></p> </div> </div><div class="card grey resource-card" style="background-image: url(https://somalogic.com/wp-content/uploads/2022/12/EfficientDevelopmentPosterHero-1-768x432.jpg);" title="Image of scientist in lab examining samples"> <div> <div class="content"> <h3><span class="up">Poster</span>Efficient development of certified diagnostic laboratory developed tests using proteomic data</h3> <p>We demonstrate the utility of combining pipeline tools, statistical learning techniques, and a knowledge base of in-silico proteomic datasets into a reproducible workflow that allows for efficient development of LDT-certifiable tests using SomaScan® technology.</p> </div> <p class="a-center"><a href="https://somalogic.com/poster/efficient-development-of-certified-diagnostic-laboratory-developed-tests-using-proteomic-data/" class="btn dark-blue-border">Learn more</a></p> </div> </div><div class="card grey resource-card" style="background-image: url(https://somalogic.com/wp-content/themes/soma/img/blog.png);" title=""> <div> <div class="content"> <h3><span class="up">Poster</span>Dementia risk from middle age</h3> <p>In the US the number of individuals affected by dementia is expected to double by 2040. Thus, tools enabling identification of at-risk individuals earlier in disease progression, or before disease onset, are vital. </p> </div> <p class="a-center"><a href="https://somalogic.com/poster/dementia-risk-from-middle-age/" class="btn dark-blue-border">Learn more</a></p> </div> </div><div class="card grey resource-card" style="background-image: url(https://somalogic.com/wp-content/uploads/2022/07/5770b5de-9a9e-4d0c-b21c-b194f0c3dc5c-768x513.jpg);" title="Female scientist in lab"> <div> <div class="content"> <h3><span class="up">Poster</span>Lung Cancer risk in ever smokers</h3> <p>Development and validation of a blood-based protein-only predictor of 5-year lung cancer risk in ever smokers.</p> </div> <p class="a-center"><a href="https://somalogic.com/poster/development-and-validation-of-a-blood-based-protein-only-predictor-of-5-year-lung-cancer-risk-in-ever-smokers/" class="btn dark-blue-border">Learn more</a></p> </div> </div><div class="card grey resource-card" style="background-image: url(https://somalogic.com/wp-content/uploads/2022/07/iStock-1065782760-768x345.jpg);" title="Chest level of male holding prescription bottle"> <div> <div class="content"> <h3><span class="up">Poster</span>Urinary proteome</h3> <p>Urinary proteome and its application to predict cardiovascular risk in patients with stable Coronary Heart Disease.</p> </div> <p class="a-center"><a href="https://somalogic.com/poster/urinary-proteome/" class="btn dark-blue-border">Learn more</a></p> </div> </div><div class="card grey resource-card" style="background-image: url(https://somalogic.com/wp-content/uploads/2021/01/liquidLiverBiopsyPreview-768x402.jpg);" title="Closeup of scientists hands in a lab handling samples"> <div> <div class="content"> <h3><span class="up">Poster</span>Liquid liver biopsy</h3> <p>A liquid liver biopsy: serum protein patterns of liver steatosis, inflammation, hepatocyte ballooning and fibrosis in NAFLD and NASH.</p> </div> <p class="a-center"><a href="https://somalogic.com/poster/liquid-liver-biopsy/" class="btn dark-blue-border">Learn more</a></p> </div> </div><div class="card grey resource-card" style="background-image: url(https://somalogic.com/wp-content/uploads/2022/07/iStock-534831751-scaled-2-768x512.jpg);" title="Image of doctor with patient"> <div> <div class="content"> <h3><span class="up">Poster</span>Survival in heart failure</h3> <p>Plasma proteomic profile predicts survival in Heart Failure with reduced Ejection Fraction.</p> </div> <p class="a-center"><a href="https://somalogic.com/poster/bch-study-aha-epi-poster/" class="btn dark-blue-border">Learn more</a></p> </div> </div><div class="card grey resource-card" style="background-image: url(https://somalogic.com/wp-content/uploads/2022/07/CVD.jpg);" title="Image of older man in jogging clothes looking to the side"> <div> <div class="content"> <h3><span class="up">Poster</span>Clinical use of cardiovascular risk score</h3> <p>Clinical use of a proteomic cardiovascular risk score positively drives patient attitudes and behavior change.</p> </div> <p class="a-center"><a href="https://somalogic.com/poster/chf-protein-model-esc-poster/" class="btn dark-blue-border">Learn more</a></p> </div> </div> </div> </div> <div class="cell-md-12"> </div> </div> </div> </div> </div> <footer> <div class="footer-top"> <div class="container"> <div class="grid"> <div class="cell-md-6"> <img src="https://somalogic.com/wp-content/themes/soma/img/SomaLogic-SBI-Dual-Logo-White.svg" alt="Somalogic logo" class="footer-logo" /> <p>SomaLogic Operating Co., Inc.<br /> 2945 Wilderness Pl. 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