Longevity Hackathon is bringing together aging researchers, developers, and entrepreneurs to build new tools, raise awareness, and attract talent to the field.
Tracks & challenges
Science and technology are the keys to both our longevity and our demise. Our entire existence on this planet is a double-edged sword.
LongHack welcomes ideas and solutions for patient care and support that advance access to medications and diagnostics, generate actionable insights, and develop innovative products and ecosystems for longevity. The purpose of LongHack is to enable scientists, technologists, and anyone interested in improving behavioral practices and standards of living to adopt discoveries, breakthroughs, and societal changes at an accelerated pace.
Use of proteomics, genomics, and molecular biology tools to identify genetic/epigenetic factors and pathways involved in aging
How can we create a data-gathering platform that analyzes genome, methylation, metabolome, lifestyle data, etc for a million individual human data points?
How would you create an open-source biological pathway analysis tool for aging data (including visualization tool)?
How would you create a GWAS pipeline integrating aging meta-analysis from different demographic regions?
How would you develop a platform for the early detection of diseases using the data from clinical studies or experiments?
Biomarker-guided aging mechanism
Genomics-based analyses e.g., Next-generation sequencing to Identify and validate a range of biomarkers (markers of mitochondrial dysfunction, proteostasis, stem cell dysfunction, nutrient sensing, genomic instability, telomere dysfunction, cellular senescence, and epigenetic changes) of the hallmarks of aging.
How would you develop a simple and robust biological age clock based on various epigenetic markers?
How would you develop a diagnostic-based NGS platform to analyze individual patient-specific data?
Discovery/identification of new/repurposed molecules/drugs which could have potential anti-aging activities
How would you develop a virtual screening platform to identify potential drugs for aging?
How would you develop a QSAR modeling toolkit for aging data? Example datasets: ChEMBL, ZINC15, Drugbank
Data-analytics from genomics/proteomics for better clinical decision support and recommendations for personalized healthcare.
How would you develop a robust and flexible telemedicine/telehealth patient engagement platform for modern practice?
Develop an algorithm for multi-view data analysis, e.g., genomic, proteomic, and metabolomic data) which can be used to identify associations within and between multiple sets of patients, and generate integrative models for patient stratification?
High-throughput multi-omics datasets (gathering information from genomics, epigenomics, transcriptomics, proteomics, metabolomics, and pharmacogenomics), at either populational or single-cell levels, can provide a multi-dimensional, integrated profile of the heterogeneous aging process
How would you develop a platform or aggregate information to deal with multi-dimensional data related to clinical/diagnostic parameters related to aging?
Digital Biomarker: Multi-modal analysis
Developing effective scoring-based digital biomarkers to a range of diagnostic and prognostic measurements to identify genetic aging biomarkers and improve patient outcomes.
How would you create a visual representation of the genetic/somatic landscape illustrating mutational profiles (mutations, SNPs, variations) of various genes/proteins or biomarkers involved in aging? Example.
Looking for solutions that enable users to upload their health information - from multiple sources - into a unified platform. Real-time analysis/feedback for a personalized health report
Natural Language Processing tool to help researchers to find novel protein and molecules. Example platform. Creating a tool that will help scientists to: a) find research papers by topic or keyword; b) extract protein and chemical name/sequences from the papers - automatically; c) extract the clinical study results (if any).
Voice-based/cognitive tool to measure fatigue/energy levels.
It would help the users to identify their energy levels throughout the day, and perhaps address the peaks/valleys with supplementation or physical activity. This kind of solution is necessary to measure an individual in a non-invasive way, understanding how their aging process is altering on a daily basis.
These are some of the example datasets you can delve into to initiate your project. You can choose human/mouse/other organism models.