F2 Tumor Genomics Hackathon INTRODUCTION On June 23rd, SVAI + Accel.ai + NF2 Project, are kicking off our first AI Genomics hackathon at Google Launchpad in San Francisco! We’re also happy to announce the NCBI as a community partner. This event will focus on analyzing Genomic data and research publications using AI and other computational methods. We have a special opportunity to work with patient data from an ongoing medical case, provided by Onno Faber, a serial entrepreneur and NF2 Patient. This event kicks off our first open source medical AI community project and we’re super excited for it!
PURPOSE: Contribute to a real, ongoing patient case. Try to advance our understanding of NF2 mutations. Encourage more AI researchers to pursue healthcare and biology problems. Explore this unique, high definition NF2 Tumor Genomics dataset. Establish an open source community for future Medical AI collaborative hacking.
PROBLEM TRACKS: The main issue with NF2 is that patients develop tumors in the central nervous system, slowly knocking out senses and body functions (hearing for most, facial paralysis and sight/muscles/sensory functions for some). All the ‘tracks’ below are ways to find out why these tumors are there, what makes them grow and most importantly how to stop them.
*We encourage you to analyze the NF2 dataset based on your interests and expertise*
Drug treatment pathways for existing medications. Ranking dataset mutations. Use NLP to mine NF2 research and present novel treatment options. Create a novel drug intervention with DeepChem (Bharath Ramsundar) Advanced: NF2 Expanded Problem Tracks and Vision for Ongoing Investigation.
THE DATASET Whole Genome sequence data set for NF2: a genetic condition that causes tumors to grow from Schwann cells. The dataset has a tumor/normal pair and a sibling. All three Whole Genome Sequences were done at 60-90X and available as .bam-files. The dataset was acquired in the context of finding the driver mutations for a particular NF2 patient. For registered participants, we will release the dataset 1-week prior to the start of the hackathon. Get the NF2 Dataset.
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