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Understanding disease and improving diagnosis and treatment

• Cancer 
  Discovering cancer genes, targets for new drugs, and mechanisms underlying drug resistance through projects such as the Cancer Dependency Map
   
• Chronic disease
  Using systematic approaches to learn the biological mechanisms that lead to diabetes, heart disease, obesity, immune disorders such as autoimmunity, and other common chronic diseases
   
• Brain disorders and mental health 
  Charting a path to new therapies by revealing the genes and mechanisms that drive psychiatric and neurodegenerative disorders
   
• Rare disease
  Uncovering the biological roots of rare disease and developing new treatments; partnering with families affected by rare disease to provide genetic diagnoses; developing new tools and datasets to improve diagnostic success rates for families
   
• Infectious disease and pandemic preparedness
  Discovering mechanisms of antibiotic resistance; learning how pathogens and host factors including the immune system interact; creating diagnostic and data analytics technologies to monitor and stop infectious disease outbreaks
   
• Gene editing and genetic medicine
  Treating and curing disease and accelerating discovery using CRISPR gene editing technologies, which make targeted, precise changes to DNA; building technologies that deliver genetic medicines to specific cells and tissues in the body
   
• Clinical genomics 
  Sequencing genomes from patients using rapid, cost-effective methods to measure disease risk and diagnose disease
   
• Therapeutics
  Developing small-molecule and protein-based drugs; finding new uses for existing drugs through our Drug Repurposing Hub
   
• Liquid biopsy
  Enabling physicians to detect cancer recurrence early in patients with a blood test rather than invasive procedures 

Building and sharing technologies and large datasets to advance science at scale

• AI and machine learning
  Building innovative new AI models and applying them to large datasets to accelerate biomedical discoveries
   
• Biobanks
  Working with partners to sequence hundreds of thousands of human DNA samples and process, analyze, and securely share these datasets to drive research on disease, accelerate drug discovery, and improve healthcare
   
• Single-cell and spatial genomics
  Studying gene activity in individual cells and mapping their locations in tissue at scale to discover their role in disease
   
• Multi-omics
  Analyzing thousands of genes, proteins, metabolites, and more at scale in cells and tissues to find the biological mechanisms of disease
   
• Data and tools
  Creating research tools and datasets and sharing them securely with researchers across the U.S. and around the world to accelerate improvements for human health