Research Efforts to Implement Genomic Medicine
- David Crosslin, Eric Larson, Paul Crane | University of Washington, University of Washington, University of Washington
This talk will cover multiple human genetic topics, from discovery to implementation science. The National Human Genome Research Institute (NHGRI) has led multiple efforts in support of personalized medicine. UW has and will continue to play a major role with one such NHGRI effort called the Electronic Medical Records and Genomics (eMERGE) Network. This study combines DNA biorepositories with EHRs in support of implementing genomic medicine. These efforts will advance the national electronic health information infrastructure in support of personalized medicine. Dr. Crosslin will describe how the eMERGE Network is on the forefront of precision medicine. He will outline how the Network started with genetic discovery using mined phenotypes from the EHR, and how the research focus has transitioned to genetic variation interpretation and integration into the EHR for CDS. Drs. Larson and Crane will cover past, present, and future plans for genetic investigation in the ACT study, with a focus on identifying druggable targets that may change the shape of the Alzheimer’s disease epidemic in the US and worldwide.
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Ravi Pandya
Principal Data Scientist
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Series: Microsoft Research Talks
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Decoding the Human Brain – A Neurosurgeon’s Experience
- Dr. Pascal O. Zinn
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Challenges in Evolving a Successful Database Product (SQL Server) to a Cloud Service (SQL Azure)
- Hanuma Kodavalla,
- Phil Bernstein
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Improving text prediction accuracy using neurophysiology
- Sophia Mehdizadeh
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Tongue-Gesture Recognition in Head-Mounted Displays
- Tan Gemicioglu
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DIABLo: a Deep Individual-Agnostic Binaural Localizer
- Shoken Kaneko
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Audio-based Toxic Language Detection
- Midia Yousefi
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From SqueezeNet to SqueezeBERT: Developing Efficient Deep Neural Networks
- Forrest Iandola,
- Sujeeth Bharadwaj
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Hope Speech and Help Speech: Surfacing Positivity Amidst Hate
- Ashique Khudabukhsh
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Towards Mainstream Brain-Computer Interfaces (BCIs)
- Brendan Allison
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Learning Structured Models for Safe Robot Control
- Subramanian Ramamoorthy
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