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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Biodata Stage30 minsScaling 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 ...
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12:00
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Biodata Stage30 minsScientific 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 ...
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12:30
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Biodata Stage30 minsHealthcare 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 ...
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13:00
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Biodata Stage70 mins
14:10
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Biodata Stage30 minsLarge 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 ...
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14:40
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Biodata Stage30 minsBiopharma organizations generate vast and intricate omics datasets, creating significant challenges around data accessibility, usability, and the preservation of critical institutional knowledge. In t ...
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15:10
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Biodata Stage30 minsThis 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 ...
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15:40
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Biodata Stage30 mins
16:10
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Biodata Stage30 minsThe 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, ...
16:40
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Biodata Stage30 minsGrowing scientific data complexity creates major challenges for interoperable storage and organizational access Successfully adopting AI/ML requires FAIR data principles: Findable, Accessible, Interop ...
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17:10
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Biodata Stage30 minsIn 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 ...
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11:30
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Biodata Stage30 minsResults from largest APOE4 AD trial in patients treated with ALZ-801 Implementation of AlzheonNexus platform for analyzing clinical trial and real-world dataSpeaker(s)
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12:00
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Biodata Stage30 minsKey questions in drug discovery pipeline Key pieces that we can engineer to answer the key questions – one of them is data asset development and its untapped potential Data asset development – handlin ...
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12:30
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Biodata Stage30 minsAccurate survival prediction in NSCLC remains a major clinical challenge due to the complexity of multi-omics and clinical data; integrating prior biological knowledge can enhance model interpretabili ...
13:00
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Biodata Stage50 mins
13:50
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Biodata Stage30 minsPopulation 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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14:20
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Biodata Stage30 minsProstate cancer is the most common cancer diagnosed in men, yet most men diagnosed with the disease will die of other causes Big data approaches are needed to conduct genetic epidemiological studies o ...
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14:50
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Biodata Stage30 minsWe'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 ...
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