Archive:General Page

  • 2019

    This year’s 8th Annual Health Informatics and Data Science Symposium at Georgetown University offered a rich and varied program with spotlight talks by Dr. Laura Esserman of UCSF and Dr. Eric Peraksl

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  • ICBI Faculty and Staff

    Adil Alaoui, MS, MBA Director, Health Information Technology and OperationsAdil Alaoui, Director of Health Information Technology and Operations, provides leadership, integrated management, and s

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  • ClinGen: First FDA- Approved Genomic Variants Database

    We are part of the ClinGen network which is a National Institutes of Health (NIH)-funded resource dedicated to building an authoritative central resource that defines the clinical relevance of genes

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  • Detection of viral RNA in tumors (viGEN pipeline) on Cloud

    The viGEN pipeline detects and quantifies viral RNA (and hence load) in human tumor samples Collaborators: Lombardi Experimental Therapeutics and Breast Cancer Programs Publications Usin

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  • The Georgetown Database of Cancer (G-DOC)

    G-DOC was designed and engineered to be a unique multi-omics data analysis resource for translational cancer research. It currently integrates clinical, transcriptomic, metabolomic, and systems-level

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  • Technology for Tumor Boards & Trial Recruitment

    We have developed the first ever, open source, cloud-based, asynchronous tumor board technology to enhance the utility of patient molecular profiling data from CLIA-certified/CAP-accredited molecular

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  • The Clinical Proteomics Tumor Analysis Consortium (CPTAC)- Data Center

    The Clinical Proteomic Tumor Analysis Consortium (CPTAC) of NCI’s Office of Cancer Clinical Proteomics Research, is a comprehensive and coordinated effort to accelerate the understanding of the molec

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  • PanCAN Research Acceleration Network (RAN) Molecular Tailored Therapy

    The goal of the PanCAN network was to study major changes in pancreatic cancer cells that are significantly associated with response and/or resistance to standard therapies. Collaborators: Lombard

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  • Human Factors and Usability of Molecular Reports

    Eye-tracking studies help identify the strengths and weaknesses in content and form of molecular diagnostic (MDX) test reports which in turn inform clinical decision-making. Collaborators: MedStar

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  • Cancer Outcomes Tracking and Analysis (COTA)

    The integration of COTA Nodal Address (CNAs) with molecular profiles of GI cancer patients generated by CARIS and the Clinical Outcomes Tracking Algorithm (COTA) is allowing us to support detailed an

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