About Somayah Albaradei Somayah Albaradei Ph.D. Student, Computer Science bioinformatics Computational biology machine learning Computer Vision Somayah Albaradei is a Ph.D. student at Structural and Functional Bioinformatics Group (SFB) under the supervision of Professor Xin Gao at King Abdullah University of Science and Technology (KAUST). Somayah obtained her master's degree in computer science from the University of Manitoba, Canada in 2014. Professional Profile 2014: Lecturer at College of Computing and Information Technology-King Abdulaziz University - Jeddah - Saudi Arabia 2010- 2011: Teacher Assistant at College of Computing and Information Technology-King Abdulaziz University - Jeddah - Saudi Arabia 2009-2010: Collaborator Events Presented Events Mar 27 - Apr 2, 2022 Omics-based Metastasis Prediction using Machine Learning and Deep Learning Somayah Albaradei, Ph.D. Student, Computer Science Mar 30, 14:00 - 15:00 KAUST bioinformatics Computational biology machine learning Computer Vision Knowing metastasis is the primary cause of cancer-related deaths incentivized research to unravel the complex cellular processes that drive the metastasis. Advancement in technology and specifically the advent of high-throughput sequencing provides knowledge of such processes. This knowledge led to the development of therapeutic and clinical applications. In this regard, predicting metastasis onset has also been explored using artificial intelligence (AI) approaches that are machine learning (ML), and more recently, deep learning (DL).
Omics-based Metastasis Prediction using Machine Learning and Deep Learning Somayah Albaradei, Ph.D. Student, Computer Science Mar 30, 14:00 - 15:00 KAUST bioinformatics Computational biology machine learning Computer Vision Knowing metastasis is the primary cause of cancer-related deaths incentivized research to unravel the complex cellular processes that drive the metastasis. Advancement in technology and specifically the advent of high-throughput sequencing provides knowledge of such processes. This knowledge led to the development of therapeutic and clinical applications. In this regard, predicting metastasis onset has also been explored using artificial intelligence (AI) approaches that are machine learning (ML), and more recently, deep learning (DL).
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