High Throughput Functional Testing of Patient Derived Cancer Cells to Identity and Validate Novel Druggable Targets
- Chris Kemp, Carla Grandori | Fred Hutchinson
To accelerate the development of more effective cancer therapies, we have developed and optimized a cancer drug target discovery platform that entails high throughput siRNA and focused small molecule screens using patient-derived cancer cell cultures and isogenic cell systems, followed by orthogonal validation in physiologically relevant tumor models. This platform has been applied to several human cancers in need of targeted therapies including pancreatic cancer, head and neck squamous cell carcinoma, triple negative breast cancer, and ovarian cancer. In addition to providing drug targets for preclinical development, this platform has revealed in depth functional wiring of cancer cells and how these survival pathways are altered by genetic and environmental context.
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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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