Entries for DataWorks! Prize 2024

DRAGON is an open-source platform to efficiently test novel drug combinations for neurodegenerative diseases such as Alzheimer’s disease.

Astrocytes are crucial for brain function, but their impact on neural function remains unclear. We will use EM datasets to investigate this

We aim to analyze EEG data from healthy individuals and neuropsychiatric patients to identify diagnostic biomarkers.

We'll develop models using OSF & published data to quantify THC doses via various routes and their effects on working memory in older adults

We will investigate sex differences in risk factors for AKI development and outcomes, using advanced transformer models on MIMIC data.

Exploring spatial variable gene sets across species and tissues using a large scale spatial transcriptomics dataset.

This project will curate and analyze single-cell omics metadata to address biases in ancestry representation, promoting inclusive research.

Leveraging predictive and causal machine learning to understand suicidal trajectories from childhood to adulthood for effective prevention

Using Public Knowledge Graphs to Guide LLMs in Generating Novel, Hallucination-Free Therapeutic Mechanisms for Approved Rare Disease Drugs

Refining AI models for Alzheimer's using single nuclei RNA-seq data to enhance cell-type identification and gene expression analysis.

We measure brain network integration-segregation balance during lifespan, and find its links to mental health, neurotransmitters, and genes.

Identify causal multi-omic biomarkers for cancer risk across diverse populations by integrating multi-omics and GWAS data

TBScan prioritizes genes in TB pathogenesis, drug resistance, and host-genotype interactions using fine-tuned LLMs on multi-omics data.

Learn about immune cells in the blood, understand gene expression, and dive into COVID-19 responses with the interactive scRNA-Seq Explorer

We aim to reveal new MS biology and compare it with mouse models to identify shared mechanisms in demyelination and repair.

We wish to conduct a heterogeneity analysis and identify tau-specific cell-subtypes within a cerebral organoid dataset.