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Calling Crunchers Worldwide to Contribute to Groundbreaking Research in Autoimmune Disease

Crunch Foundation and The Eric and Wendy Schmidt Center invite you to join the Autoimmune Disease Machine Learning Challenge to design algorithms that will enable a more accurate diagnosis of inflammatory bowel disease (IBD), affecting millions of people worldwide.

In collaboration with

An extensive Dataset

A $50,000 Prize Pool

Transform
cancer treatment. Your code, patients' futures.

Our Cancer Immunotherapy Machine Learning Competition aims to harness the power of the immune system to combat cancer more effectively.

The challenge seeks to answer a critical question: How can we induce desired cell state changes in T cells?

With an expanded list of immune checkpoint targets, including PD-1, CTLA-4, LAG3, TIM3, and VISTA, our goal is to make immunotherapy a viable option for a broader range of patients and cancer types.

Over 2500 clinical trials underscore the potential of immune checkpoint inhibitors in revolutionizing cancer treatment.

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The algorithms you create for this three-part challenge will offer a high-resolution view of IBD by integrating images of inflamed gut tissue with spatial transcriptomics data. You will identify genes that serve as markers for potential cancerous regions in the gut, facilitating the early detection and treatment of colorectal cancer. The gene panels developed by top performers will be tested in patient samples through lab experiments at the Broad Institute of MIT and Harvard!
70
Different single-gene knockouts used.
20,000
Potential single-gene knockouts in the dataset.
100,000
scRNA-seq samples from CD8 T cells.
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Cancer Immunotherapy Data Science — Essential Lectures for Challenge Participants
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To facilitate meaningful participation from crunchers across disciplines, we offer comprehensive educational resources.

Our recorded crash courses and MIT IAP course provide essential background in biomedical concepts relevant to the challenge.

These materials are designed to equip participants, regardless of their biological expertise, with the necessary knowledge to contribute effectively to this global initiative.

We encourage all interested researchers to review these courses as a first step towards engaging in this critical area of study.

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Lecture 0 — Introduction
with
Caroline Uhler and Nir Harcohen
Lecture 1 —
Biology
with
Orr Ashenberg
Lecture 2 — Technology
with
Orr Ashenberg
Lecture 3 —
Data
with
Orr Ashenberg
Challenge Timeline and Key Milestones
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July 2024
Challenge Build-up
Oct 2024
Challenge Period
Jan 2024
Part 1 Evaluation on Held-Out Test Data
Feb 2025
Part 2 Evaluation on Held-Out Test Data
March
2025
Part 3 Evaluation on Newly Generated Data
July 2025
Publication of Results
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Winners will be announced after each part’s evaluation.

The Schmidt Center is enabling a new field of interdisciplinary research at the intersection of the data and life sciences, aimed at improving human health. Our researchers and partners work together to make the biological questions of our time key drivers for foundational advances in machine learning — and vice versa.

Questions? Please email ericandwendyschmidtcenter@broadinstitute.org.

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Crunch Lab is a quant boutique that helps large companies, investment firms, and financial institutions extract more value from their data. Crunch Lab works with data-rich companies to host Crunches, which are global ML competitions for the best and brightest in the CrunchDAO community.

CrunchDAO is an elite research community that develops alpha-generating insights through distributed ML competitions. The DAO consists of over 5,000 data scientists, quants and machine learning (ML) engineers, including 600 PhDs. DAO members can monetize their talents and expertise by competing in corporate Crunches. In return for building models that produce profitable insights, members can participate in profit sharing in the form of cash and CRUNCH tokens, which give them status, higher earning potential, and access to more lucrative Crunches.

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Autoimmune disease machine learning challenge
Your code, patients’ futures.
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