CBRC Dual Seminar - Analysis of COVID-19 Severity - DeepSVP computational method Sakhaa Al-Saedi, PhD Student; Azza Althagafi, PhD Student Apr 12, 13:00 - 14:00 KAUST machine learning Computer science artificial intelligence Sakhaa Al-Saedi: We conduct a systematic genetic analysis of risk variants related to increasing the severity of COVID-19. It leads to a better understanding of its genetic basis and identifies the host genes to be targeted to tackle the COVID-19 pandemic and reduce its death toll. Azza Althagafi: We developed DeepSVP, a computational method to prioritize structural variants involved in genetic diseases by combining genomic and gene functions information. DeepSVP significantly improves the success rate of finding causative variants in several benchmarks and can identify novel pathogenic structural variants in consanguineous families.
KAUST Research Conference Digital Health 2020 Takashi Gojobori, Ibn Sina Distinguished Professor (former), Bioscience Jan 20, 08:00 - Jan 22, 17:00 B19 L2 H1 digital health artificial intelligence computational science big data analytics Omics Computational Bioscience Research Center at King Abdullah University of Science and Technology is pleased to announce the KAUST Research Conference on Digital Health 2020.
AI4GH Seminar Series - Computational Modeling of Malaria Metabolism Reveals Different Stages and Species Nutrient Preferences and Drug Targets Alyaa M Mohamed, Ph.D., Bioscience Nov 25, 12:00 - 13:00 B2 R5220 genome plasmodial infections Malaria kills nearly one-half million people a year and over 1 billion people are at risk of becoming infected by the parasite. Plasmodial infections are difficult to treat for a myriad of reasons, but the ability of the organism to remain latent in hosts and the complex life cycles greatly contributed to the difficulty in treat malaria.
AI4GH - Computational Modeling of Malaria Metabolism Reveals Different Stages and Species Nutrient Preferences and Drug Targets Alyaa M Mohamed, Ph.D., Bioscience Nov 25, 12:00 - 13:00 B2 R5220 Malaria kills nearly one-half million people a year and over 1 billion people are at risk of becoming infected by the parasite. Plasmodial infections are difficult to treat for a myriad of reasons, but the ability of the organism to remain latent in hosts and the complex life cycles greatly contributed to the difficulty in treat malaria.
