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Name: Innovation Center for Biomedical Informatics (ICBI) at Georgetown University

Type: Organization

Bio: ICBI at Georgetown University Medical Center is an academic hub for cutting-edge research in biomedical informatics. Connect with us @ICBI_Georgetown

Twitter: ICBI_Georgetown

Location: Washington, DC

Blog: http://icbi.georgetown.edu/

Welcome to Georgetown University Innovation Center for Biomedical Informatics ! 👋

About us 🙋‍♀️

The Georgetown Innovation Center for Biomedical Informatics (ICBI) is a hub for cutting-edge research in biomedical informatics that applies data science methods and tools to advance Precision Medicine. Members of ICBI engage in innovative research, workforce development and impactful partnerships to advance data-inventive healthcare and life sciences domains.

ICBI is a national leader in data science, clinical informatics, and health IT that seeks to build innovative partnerships to develop answers, tools, and solutions for complex health questions and problems. ICBI is part of a large academic medical center, providing unique access to patient data and an extensive community of researchers and clinicians across a range of disciplines.

Our Focus Areas include Health Data Science, Precision Medicine and Education and Training. Read more about our work here: https://icbi.georgetown.edu

Many ICBI team members are also faculty in the our Health Informatics & Data Science (HIDS) Masters' Program. HIDS is an industry-driven program, focused on current and emerging technologies that will inform healthcare. Students gain core competency in data science, big data analytics, artificial intelligence and machine learning applications to achieve Precision Medicine and Value based healthcare. Read more about our work here: https://healthinformatics.georgetown.edu

ICBI team is also part of the The Biomedical Informatics Shared Resource (BISR) at Georgetown Lombardi Comprehensive Cancer Center (LCCC) and Georgetown University Medical Center (GUMC). BIST provides data analytics tools and resources for post-genomic biomedical research at scale. It covers all aspects of data processing and analysis for genomics, translational and clinical research. It also offers access to scalable, secure, and standardized data and IT infrastructure that enable intra- and inter-institutional national research networks for clinical/translational research and collaboration. The ISR has two co-directors: Yuriy Gusev who leads the Bioinformatics resources; and Adil Alaoui who leads the Health Informatics resources.

Some of our open science efforts

Connect with us 🌈

  • ICBI at georgetown.edu
  • HIDS at georgetown.edu

Useful resources 👩‍💻

Read about our research work: https://icbi.georgetown.edu Our Masters program: https://healthinformatics.georgetown.edu Other training programs: https://icbi.georgetown.edu/educationandtraining/ Services we provide : https://lombardi.georgetown.edu/research/sharedresources/bbsr/ and https://icbi.georgetown.edu/bisr/

Fun facts 🍿

We are a diverse multi-displicinary group of researchers.

Innovation Center for Biomedical Informatics (ICBI) at Georgetown University's Projects

.github icon .github

Welcome to Georgetown University Innovation Center for Biomedical Informatics !

aisaic icon aisaic

Accurate Identification of Significant Aberrations in Cancer Genome (AISAIC)

bisr_resource icon bisr_resource

Tutorials and training material from Georgetown University Biomedical Informatics Shared Resources (BISR)

cindex icon cindex

CINdex Bioconductor package. Read more here: https://www.bioconductor.org/packages/release/bioc/html/CINdex.html

mace2k icon mace2k

MACE2K project members develop new computational methods and software to retrieve genes, disease, variant, drug related information from multiple sources of big data including: clinicaltrials.gov, PubMed abstracts, open access articles, and conference proceedings. The software suite primarily contains natural language processing features, machine learning tools and a data visualization module to view and edit relationships between entities extracted. This suite supports biocurators in their workflow to capture the best available evidence for Precision Medicine from unstructured text.

medturk icon medturk

medTurk (inspired by Amazon's Mechanical Turk) supports clinical research by using the ingenuity of humans to convert unstructured clinical notes into structured data.

neoantiger icon neoantiger

a R package to identify neoantigens from NGS data

oprma icon oprma

Online Platform for RNA Modification Analysis (OPRMA) for CLIP-seq data analysis

sigh icon sigh

Significant Intratumor Genomic Heterogeneity

vigen icon vigen

viGEN - A bioinformatics pipeline for the exploration of viral RNA in human NGS data

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