Identifying biomarkers for IBD diagnosis and management
Driving biomarker discovery is key as proteomics emerges as the next frontier in precision medicine.
Identifying biomarkers for IBD siagnosis and management
In this webinar, you’ll hear how proteomics technology can enhance the identification of biomarkers for the accurate diagnosis of Crohn’s disease and ulcerative colitis, as well as the identification of biomarkers that predict response to TNF inhibitors and other biologics in patients with IBD.
This webinar will explore how reliable, non-invasive proteomic biomarkers are pivotal for personalized treatment and increasing our knowledge of biological pathways involved in disease. Our expert speaker will also present an assay platform that can measure 11,000 biologically relevant proteins in the search for biomarkers.
Attend this webinar to:
- Explore the role of biomarkers in tailoring medical care and enhancing precision in pediatric IBD treatment
- Uncover serum proteins intricately linked to TNF inhibitor response, gaining insights for improved therapeutic decision-making in IBD
- Discover how the SomaScan® 11K Assay transforms non-invasive biomarker discovery, revolutionizing differential pediatric IBD diagnosis
Towia A. Libermann, PhD
Associate Professor, Medicine, Harvard Medical School
Assistant Professor of Medicine, Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center
Director of BIDMC Genomics, Proteomics, Bioinformatics and Systems Biology Center
Towia A. Libermann, Ph.D. is an Associate Professor of Medicine in the Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School. Dr. Libermann is also the Director of the Beth Israel Deaconess Medical Center Genomics, Proteomics, Bioinformatics and Systems Center and of the Dana Farmer/Harvard Cancer Center Cancer Proteomics Core. Dr. Libermann is an internationally recognized translational investigator with a strong track record in precision medicine, biomarker discovery and translational studies of immunological diseases and cancer. Dr. Libermann’s lab is focused on applying multi-omics approaches to identify proteins or genes that may be exploited as biomarkers or targets for therapeutic intervention, starting with his seminal discovery of EGF receptor gene amplifications in glioblastomas. Dr. Libermann has been at the forefront of the next generation of proteomics and plays a central role in driving biomarker discovery to the next level. Libermann’s group uses the aptamer-based SomaScan proteomics platform, a modified aptamer-based high multiplex immunoassay platform, to discover and validate diagnostic, predictive, and prognostic biomarkers for various diseases using liquid biopsies such as extracellular vesicles and body fluids. Using the latest in machine learning, Libermann’s group has developed predictor models for applications in early detection, disease diagnosis, prediction of therapeutic response, monitoring of disease progression, and outcome prediction. Dr. Libermann received his PhD in Immunology in 1986 from the Weizmann Institute of Science and Technology, Rehovot and did a postdoctoral fellowship at the Whitehead Institute, Cambridge.
Identifying biomarkers for IBD diagnosis and mnagement
A presentation by Towia Libermann, PhD
More webinars
WebinarBoutique Webinar Aptamers with protein-like side chains as a versatile tool for high-content proteomics
Proteins, encoded in 20,000 genes in humans, do much of the work in biology. Measuring proteins, which change in response to various perturbations and represent targets for almost all drugs, offers insights about the health status of an organism. Since proteins operate in complex networks rather than in isolation, measuring multiple proteins simultaneously offers richer insights compared to single protein measurements.
WebinarUsing Proteomics To Advance Understanding of Alzheimer’s Disease
Limited understanding due to its complex pathophysiology and lack of definitive biomarkers currently constrains the diagnosis and treatment of Alzheimer’s disease (AD). But new research is uncovering dynamic brain changes during Alzheimer’s progression, offering potential therapeutic targets. This webinar explores how proteomics and systems biology can be integrated to elucidate AD pathology.
WebinarPredictive modeling and reliable biomarker discovery in clinical omics studies
High-content omic technologies coupled machine learning methods have transformed the biomarker discovery process. However, the translation of computational results into scalable clinical biomarkers remains challenging. A rate-limiting step is the rigorous selection of reliable biomarker candidates among a host of biological features. Drawing examples from real-world clinical omics studies, I will introduce Stabl, a general machine learning framework that identifies a sparse, reliable set of biomarkers by integrating noise injection and a data-driven signal-to-noise threshold into multivariable predictive modeling.