The New York Academy of Medicine will again offer an intensive 3 day integrated workshop experience in its “Teaching Evidence Assimilation for Collaborative Healthcare (TEACH)” series. Now in its 9th year, TEACH is unique in providing an interprofessional learning environment that encompasses the essential domains necessary for delivery of evidence-based health care, which seeks to improve the quality of clinical care in a scientifically informed fashion.
Archives and Special Collections at the Augustus C. Long Health Sciences Library is pleased to announce its acquisition of Samuel Bard’s An Enquiry into the Nature, Cause and Cure, of the Angina Suffocativa, or, Sore Throat Distemper.
The Knowledge Center is pleased to host Binding Wounds Pushing Boundaries: African Americans in Civil War Medicine a traveling exhibit of the National Library of Medicine, located at its main entrance.
In an ongoing effort to improve the Health Sciences Library, we are asking all patrons to tap their ID cards as they enter and exit the Knowledge Center. This data allows the library to know who is using the space, when and for how long. From there, we can make strategic changes to improve your library experience. Please note that the library WILL NOT have access to personally identifiable information as we analyze the data.
Thank you for your participation
The Knowledge Center will be hosting a MetaCore seminar and hands- on training entitled "Network Biology Approaches to 'Omics' Data Analysis of infiltrating CD4+ T-cells in Breast Cancer Patients"
Abstract: Network biology or pathway-based data analysis approaches allow the identification of networks of biological entities that may collectively define mechanisms and phenotypes, especially as they relate to disease. Herein, we applied a network biology workflow, focused on 'omics' data analysis, to hypothesize biomarkers and therapeutic targets based on the infiltration of CD4+ T-cells in breast cancer patients. Our workflow included in silico approaches that integrate the analysis of disease gene signatures and powerful disease pathway analysis methodologies implemented in MetaCore. Preliminary results led to the prioritization of several promising breast cancer biomarkers and drug targets. Researchers asking similar translational biology questions, across different disciplines and therapeutic areas, can use similar approaches and take advantage of MetaCore's powerful analysis tools to drive the discovery of clinically relevant biomarkers and drug targets.
Training will be conducted by Matthew Wampole, PfD of Clarivate Analytics.
Space is limited to 22 seats
If you are attending, you must bring your own laptop for the training portion of the event.