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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 Public

    Bridge2AI Voice | REDCap

    5 3

  2. bridge2ai-docs Public

    Bridge2AI Voice | Documentation Dashboard

    Python 2

  3. ai-biopsy Public

    Biopsy-free prediction of prostate cancer aggressiveness using deep learning and radiology imaging

    Python 3 10

  4. bioinformatics Public

    Tool including several common bioinformatics software applications

    Dockerfile

  5. stork Public

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

    Python 5 3

  6. 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 27 repositories
  • bridge2ai-redcap Public

    Bridge2AI Voice | REDCap

    5 MIT 3 0 0 Updated Mar 7, 2025
  • bioinformatics Public

    Tool including several common bioinformatics software applications

    Dockerfile 0 MIT 0 0 0 Updated Mar 6, 2025
  • DispatcherSuite Public

    A suite of microservices to interface different messaging systems.

    Java 0 MIT 0 0 0 Updated Mar 5, 2025
  • .github Public

    README for the Englander Institute for Precision Medicine Org Page

    0 0 0 0 Updated Mar 4, 2025
  • bridge2ai-docs Public

    Bridge2AI Voice | Documentation Dashboard

    Python 0 MIT 2 0 1 Updated Feb 27, 2025
  • 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.

    Python 2 4 0 9 Updated Jun 17, 2024
  • hello-mess-nf Public

    A Nextflow pipeline to experiment with DSL2 + Zero Mess

    Nextflow 4 MIT 1 0 0 Updated May 20, 2024
  • rnaseq-messaging Public

    RNAseq pipeline to demonstrate use of messaging

    Nextflow 0 MIT 0 0 0 Updated Dec 1, 2023
  • cnn-smoothie Public

    Deep Convolutional Neural Networks Enable Discrimination of Heterogeneous Digital Pathology Images

    Python 1 MIT 1 0 5 Updated Oct 3, 2023