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Biodata Stage

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Biodata Stage

Harnessing the power of big data and analysis for better research outcomes

Harnessing the power of big data, this theatre will help you leverage the strategic growth of large-scale research datasets, their infrastructure and how to optimize the utility of big data across the globe to support research with deeper, richer analysis.

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11:30
  1. Biodata Stage
    30 mins
    Scaling Big Genomics Data to Support Drug Development Strategy Modernising Genomic Data Management Strategies in Pharma Leveraging cutting-edge data science techniques to scale genomic and phenotype d ...
12:00
  1. Biodata Stage
    30 mins
      Scientific data (Multi-Omics, Spatial) is growing exponentially in size and complexity Biotechs need a scalable and intuitive platform to help R&D teams manage this data. Solution providers need to ...
12:30
  1. Biodata Stage
    30 mins
    Healthcare system-linked biobanks such as the VA Million Veteran Program have the opportunity to translate genomic discoveries directly to patient care This talk with give 2 examples of such work from ...
13:00
  1. Biodata Stage
    85 mins
14:25
  1. Biodata Stage
    30 mins
    This talk will demonstrate how to integrate large-scale tumor-derived and clinical genomic data sets to inform a data driven approach to cancer care.   Demonstrate novel methods to assess the actionab ...
15:25
  1. Biodata Stage
    30 mins
    We'll discuss the importance of making multi-modal, real world cancer patient data available and interpretable to researchers and physician scientists and the requisite computational tools that are re ...
15:55
  1. Biodata Stage
    30 mins
16:25
  1. Biodata Stage
    30 mins
    The GDC houses multi-omic and clinical data for > 44K cases, spanning 36 types of cancer across 86 projects. A cohort-centric interface allows integrated comparisons of patients with common features, ...
16:55
  1. Biodata Stage
    30 mins
    TBC
17:25
  1. Biodata Stage
    30 mins
    In this presentation, we explore the genomic frontiers of Alzheimer’s research through the groundbreaking Alzheimer’s Disease Sequencing Project (ADSP) and the NIA Genetics of Alzheimer’s Disease Data ...
11:30
  1. Biodata Stage
    30 mins
    TakOmics is a FAIR multi-omics data management and analytics platform designed to address complex omics data workflows by automating data transfer, centralizing management, and ensuring data integrity ...
12:00
  1. Biodata Stage
    30 mins
    In this talk, titled "Unlocking the Secrets of Data: Challenges and Solutions in the Discovery Value Chain," we will delve into the intricacies of the data life cycle and identify the key steps involv ...
12:30
  1. Biodata Stage
    30 mins
    Getting Started with Quantum Computing: Practical steps for integrating quantum computing into an enterprise environment, especially one already leveraging AI. Identifying Focus Areas: Concrete use ca ...
13:00
  1. Biodata Stage
    70 mins
14:10
  1. Biodata Stage
    30 mins
    Large scale multi-omics can empower drug discovery and development at every pipeline stage We talk, through several examples, how large biobank discoveries have shown novel disease insights that trans ...
14:40
  1. Biodata Stage
    30 mins
    Demonstrate how population-scale proteogenomic studies can support the identification of new biomarkers and drug targets that are key for disease risk assessment. Advantages with incorporating genomic ...
15:10
  1. Biodata Stage
    30 mins
    Population genetic screening involves systematically analyzing genetic variants across large groups to identify individuals at elevated risk for inherited conditions, thereby improving early detection ...

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