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Englander Institute for Precision Medicine

Weill Cornell Medicine

Englander Institute for Precision Medicine

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Weill Cornell Medicine's Englander Institute for Precision Medicine is a leading multidisciplinary institute dedicated to transforming patient care. By integrating state-of-the-art precision medicine technologies and advanced informatics, we uncover the molecular mechanisms of disease and develop personalized approaches to treatment and prevention.

Our Mission

  • Personalized Medicine: To elucidate the molecular basis of disease and tailor therapies to individual patient profiles.
  • Innovative Research: To leverage genomics, proteomics, computational biology, and clinical data for breakthrough discoveries.
  • Clinical Excellence: To translate scientific insights into effective diagnostic tools and therapeutic strategies.
  • Educational Outreach: To train the next generation of clinicians, researchers, and healthcare innovators in precision medicine.

Areas of Focus

  • Research: Pioneering studies on novel biomarkers, molecular pathways, and disease mechanisms.
  • Clinical Care: Precision diagnostics and individualized treatment protocols that improve patient outcomes.
  • Education: Comprehensive training programs, fellowships, and continuing medical education initiatives.
  • Collaboration: Partnering with academic, clinical, and industry leaders to accelerate advancements in precision medicine.

Projects & Publications

Our team is actively involved in diverse research projects and clinical trials, with a strong record of publications that drive forward the field of precision medicine. For more details, please explore our Publications section on our website.

Get Involved

We welcome collaborations, partnerships, and contributions from researchers, clinicians, and the wider scientific community. To learn about career opportunities or to discuss potential collaborations, please visit our Career Opportunities page.

Connect With Us

Address:
413 E 69th Street
Belfer Research Building
New York, NY 10021

License

© Weill Cornell Medicine. All rights reserved. Please refer to our License Information for details.

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  1. bridge2ai-redcap bridge2ai-redcap Public

    Bridge2AI Voice | REDCap

    5 3

  2. bridge2ai-docs bridge2ai-docs Public

    Bridge2AI Voice | Documentation Dashboard

    Python 2

  3. ai-biopsy ai-biopsy Public

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    Python 3 10

  4. bioinformatics bioinformatics Public

    Tool including several common bioinformatics software applications

    Dockerfile

  5. stork stork Public

    Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization

    Python 5 3

  6. stork-v stork-v Public

    This project aims to enhance the assessment of fertilized human embryos, a critical step in the process of in vitro fertilization (VF). The research paper behind this project introduced BELA, the B…

    Python 2 4

Repositories

Showing 10 of 28 repositories
  • eipm/voice-data-governance’s past year of commit activity
    JavaScript 0 1 0 1 Updated Mar 18, 2025
  • bridge2ai-redcap Public

    Bridge2AI Voice | REDCap

    eipm/bridge2ai-redcap’s past year of commit activity
    5 MIT 3 0 0 Updated Mar 7, 2025
  • bioinformatics Public

    Tool including several common bioinformatics software applications

    eipm/bioinformatics’s past year of commit activity
    Dockerfile 0 MIT 0 0 0 Updated Mar 6, 2025
  • DispatcherSuite Public

    A suite of microservices to interface different messaging systems.

    eipm/DispatcherSuite’s past year of commit activity
    Java 0 MIT 0 0 0 Updated Mar 5, 2025
  • .github Public

    README for the Englander Institute for Precision Medicine Org Page

    eipm/.github’s past year of commit activity
    0 0 0 0 Updated Mar 4, 2025
  • bridge2ai-docs Public

    Bridge2AI Voice | Documentation Dashboard

    eipm/bridge2ai-docs’s past year of commit activity
    Python 0 MIT 2 0 1 Updated Feb 27, 2025
  • eipm/b2ai-peds-protocol’s past year of commit activity
    0 1 0 0 Updated Aug 23, 2024
  • stork-v Public

    This project aims to enhance the assessment of fertilized human embryos, a critical step in the process of in vitro fertilization (VF). The research paper behind this project introduced BELA, the Blastocyst Evaluation Learning Algorithm, a novel model for embryo ploidy status prediction.

    eipm/stork-v’s past year of commit activity
    Python 2 4 0 9 Updated Jun 17, 2024
  • hello-mess-nf Public

    A Nextflow pipeline to experiment with DSL2 + Zero Mess

    eipm/hello-mess-nf’s past year of commit activity
    Nextflow 4 MIT 1 0 0 Updated May 20, 2024
  • rnaseq-messaging Public

    RNAseq pipeline to demonstrate use of messaging

    eipm/rnaseq-messaging’s past year of commit activity
    Nextflow 0 MIT 0 0 0 Updated Dec 1, 2023

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