Leigh Alexander

ORCID: 0000-0003-3469-1308
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About
Contact & Profiles
Research Areas
  • Liver Disease Diagnosis and Treatment
  • Endoplasmic Reticulum Stress and Disease
  • Liver Diseases and Immunity
  • Diet, Metabolism, and Disease
  • Liver Disease and Transplantation
  • Cardiovascular Health and Risk Factors
  • Genetic Associations and Epidemiology
  • Health, Environment, Cognitive Aging
  • Lipid metabolism and disorders
  • Radiomics and Machine Learning in Medical Imaging
  • Health Systems, Economic Evaluations, Quality of Life
  • Frailty in Older Adults
  • Alcohol Consumption and Health Effects
  • Hepatocellular Carcinoma Treatment and Prognosis
  • Creativity in Education and Neuroscience
  • MicroRNA in disease regulation
  • Pleural and Pulmonary Diseases
  • Blood Pressure and Hypertension Studies
  • Health and Lifestyle Studies
  • Occupational and environmental lung diseases
  • Cardiac Health and Mental Health
  • Statistical Methods and Inference
  • Fatty Acid Research and Health
  • Product Development and Customization
  • Cardiovascular Disease and Adiposity

SomaLogic (United States)
2019-2024

University of Oxford
2022

Wake Forest University
2022

Abstract Non-alcoholic fatty liver disease (NAFLD) is a common, progressive strongly associated with the metabolic syndrome. It unclear how progression of NAFLD towards cirrhosis translates into systematic changes in circulating proteins. Here, we provide detailed proteo-transcriptomic map steatohepatitis and fibrosis during NAFLD. In this multicentre proteomic study, characterize 4,730 proteins 306 patients histologically characterized integrate transcriptomic analysis paired tissue. We...

10.1038/s42255-023-00775-1 article EN cc-by Nature Metabolism 2023-04-10

Detecting NASH remains challenging, while at-risk (steatohepatitis and F≥ 2) tends to progress is of interest for drug development clinical application. We developed prediction models by supervised machine learning techniques, with data biomarkers stage grade patients NAFLD.Learning were collected in the Liver Investigation: Testing Marker Utility Steatohepatitis metacohort (966 biopsy-proven NAFLD adults), staged graded according CRN. Conditions trial definition (NAS ≥ 4;53%), (NASH F...

10.1097/hep.0000000000000364 article EN Hepatology 2023-03-30

IntroductionMalignant pleural mesothelioma (MPM) is difficult to diagnose. An accurate blood biomarker could prompt specialist referral or be deployed in future screening. In earlier retrospective studies, SOMAscan proteomics (Somalogic, Boulder, CO) and fibulin-3 seemed highly accurate, but has not been validated prospectively subsequent data have contradictory.MethodsA multicenter prospective observational study was performed 22 centers, generating a large intention-to-diagnose cohort....

10.1016/j.jtho.2021.05.018 article EN cc-by Journal of Thoracic Oncology 2021-06-09

Class imbalance can present a major issue in time-to-event analyses for instances where the number of individuals diagnosed with disease are far outnumbered by those who remain undiagnosed within specified time frame.An example this is incidence rate myocardial infarction (MI) among patients stable coronary heart disease, MI events typically sparse over course study.This may result inaccurate risk predictions more likely to be having an event.In study, we combine sampling Cox proportional...

10.1089/sysm.2018.0015 article EN Systems Medicine 2019-12-01

Abstract Background: 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 the analysis of cancer outcomes, but its use high-dimensional analyses tends to limited methods are difficult implement a machine learning environment. Additionally, development certified prognostic clinical tests proteomic biomarkers detecting risk time-consuming, prone overfitting...

10.1158/1538-7445.am2023-5411 article EN Cancer Research 2023-04-04

Background: The ACC has outlined a strategic goal where innovation and knowledge optimize cardiovascular care outcomes. We tested whether sharing with patients personal 7-protein risk score might motivate them to better adhere reduction measures. Methods: (SOMAscan® CVD Secondary Risk Panel, SomaLogic) provides % by year for experiencing event up 5 years. Patients stable coronary heart disease received baseline lifestyle behavior survey, chart abstraction, blood draw the score. Results were...

10.1161/circ.139.suppl_1.p376 article EN Circulation 2019-03-05

Abstract Background: Lung cancer is the second most common type and leading cause of death globally, with smoking advancing age as causal risk factors. The USPSTF guidelines for lung screening recommends annual select current or former smokers over 50 years age. While via low dose CT has been demonstrated to decrease mortality, compliance remains low. Additional prognostic tools future stratification, particularly those without immutable demographic health history, may be beneficial in...

10.1158/1538-7445.am2022-2227 article EN Cancer Research 2022-06-15
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