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Entries for DataWorks! Prize 2024
DRAGON Drug Discovery To Fight Neurodegeneration
DRAGON is an open-source platform to efficiently test novel drug combinations for neurodegenerative diseases such as Alzheimer’s disease.
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DRAGON Drug Discovery
Principles of Astrocyte architecture
Astrocytes are crucial for brain function, but their impact on neural function remains unclear. We will use EM datasets to investigate this
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Shyam Srinivasan's team
BRAEIN:EEG Biomarker Analysis for Neuro Disorders
We aim to analyze EEG data from healthy individuals and neuropsychiatric patients to identify diagnostic biomarkers.
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Glikeria Tzikas's team
Decoding THC's Memory Effects in Older Adults
We'll develop models using OSF & published data to quantify THC doses via various routes and their effects on working memory in older adults
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ZZ’s team
Sex Differences in Acute Kidney Injury Risk
We will investigate sex differences in risk factors for AKI development and outcomes, using advanced transformer models on MIMIC data.
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Divergent Equilibria
Spatial variable genes across species & tissues
Exploring spatial variable gene sets across species and tissues using a large scale spatial transcriptomics dataset.
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Yun Li's team
DiSCO: Diversity in Single Cell Omics
This project will curate and analyze single-cell omics metadata to address biases in ancestry representation, promoting inclusive research.
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DiSCO
Machine learning and suicidal trajectories
Leveraging predictive and causal machine learning to understand suicidal trajectories from childhood to adulthood for effective prevention
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NYU McSilver Institute's AI Hub
Knowledge Graphs and LLMs for drug repurposing
Using Public Knowledge Graphs to Guide LLMs in Generating Novel, Hallucination-Free Therapeutic Mechanisms for Approved Rare Disease Drugs
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X-Data's team
Fine-tuning GPT model for Alzheimer’s research
Refining AI models for Alzheimer's using single nuclei RNA-seq data to enhance cell-type identification and gene expression analysis.
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Seong-Hwan Jun
Brain integration and segregation across lifespan
We measure brain network integration-segregation balance during lifespan, and find its links to mental health, neurotransmitters, and genes.
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Zirui Huang's team
Uncover causal cancer markers across populations
Identify causal multi-omic biomarkers for cancer risk across diverse populations by integrating multi-omics and GWAS data
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GCB Hub
TBScan: LLMs Prioritizing Genes in TB Pathogenesis
TBScan prioritizes genes in TB pathogenesis, drug resistance, and host-genotype interactions using fine-tuned LLMs on multi-omics data.
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Amnah Siddiqa's team
Immune Cells at Your Fingertips: scRNASeq Explorer
Learn about immune cells in the blood, understand gene expression, and dive into COVID-19 responses with the interactive scRNA-Seq Explorer
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Luke Trinity's team
Analysis of Multiple Sclerosis and mouse models
We aim to reveal new MS biology and compare it with mouse models to identify shared mechanisms in demyelination and repair.
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Erin Aboelnour's team
Identifying tau-driven cell-subtypes.
We wish to conduct a heterogeneity analysis and identify tau-specific cell-subtypes within a cerebral organoid dataset.
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Aaditya Rangan's team
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