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AI that's built to save lives

Jun 08, 2020

​Associate Professor Xin Gao and his group have developed an artificial-intelligence (AI) based solution to help increase COVID-19 testing accuracy. Identifying cases of early stage infection has been particularly challenging for frontline clinicians. Gao's AI-based model, which aims to increase accuracy, has been put to immediate use at King Faisal Specialist Hospital (KFSH) in Riyadh.

Tracking the Curve: Analyzing the Emotional Response to COVID-19

Jun 04, 2020

Professor Xiangliang Zhang is using machine learning to track the changing emotional response to the global crisis.

Training agents to walk with purpose

Jun 03, 2020

CBRC, Ph.D. Student Uchenna Akujuobi under Associate Professor Xiangliang Zhang group in collaboration with KAUST colleagues, has produced a classification algorithm that can dramatically simplify relational data: it is more accurate and dramatically more efficient than previous schemes.
By training a search agent to make smarter exploratory decisions, relational data can be classified more accurately and efficiently.

How antibody testing can stem the spread of COVID-19

May 20, 2020

As part of the KAUST Rapid Response Research Team (R3T), Charlotte Hauser, professor of bioscience in the Biological and Environmental Science and Engineering Division (BESE), is working on developing immunodiagnostic antibody detection tests to combat the spread of SARS-CoV-2, the viral strain that causes coronavirus disease or COVID-19.

​Prof. Robert Hoehndorf Promoted to Associate Professor

Apr 16, 2020

The CBRC congratulates Professor Robert Hoehndorf for his promotion to the rank of Associate Professor, effective 1st July 2020.

Using AI to understand the pathogenesis of COVID-19

Apr 12, 2020

Xin Gao, KAUST associate professor of computer science and acting associate director of the Computational Bioscience Research Center, is a key member of R3T. He and his Structural and Functional Bioinformatics (SFB) Group have been focusing on developing an artificial intelligence (AI)-based diagnosis pipeline from the CT scans of COVID-19 patients.

Hacking the SARS-CoV-2 genome

Apr 12, 2020

KAUST, CBRC Acting director Prof. Takashi Gojobori and Dr. Intikham Alam a senior computational specialist work to understand the SARS-CoV-2 genome to identify opportunities for treatment and vaccine development.

Flattening the sentimental curve

Apr 12, 2020

KAUST, CBRC, Associate Professor Xiangliang Zhang talks about her research in the use of machine learning to monitor pandemic response and predict localized outbreaks.

Sakhaa AlSaedi succesfully defends her masters thesis | Evaluating the Application of Allele Frequency in the Saudi Population Variant Detection

Apr 09, 2020

Sakhaa AlSaedi, a student under the supervision of Professor Robert Hoehndorf, defended her Master's thesis on April 7, 2020.

Maxat Kulmanov Ph.D. Dissertation Defense | Predicting Single Gene Loss of Function Phenotypes

Apr 07, 2020

Maxat Kulmanov, a Ph.D. candidate under the supervision of Assistant Professor Robert Hoehndorf through ZOOM Video defended his Ph.D. thesis "Predicting Single Gene Loss of Function Phenotypes "

KAUST Rapid Research Response Team and COVID-19

Apr 05, 2020

CBRC Faculty along with the other faculty's of KAUST joined the Rapid Research Response Team (R3T). The focus of R3T is to collaborate with and strongly support the Kingdom's healthcare stakeholders to help combat the spread of COVID-19.

CBRC Seminar on Coronavirus

Mar 15, 2020

Dr. Asim Alsaedi Adult Infectious Diseases Consultant in the Department of Medicine at King Abdulaziz Medical City, National Guard, Jeddah, and
Dr. Intikhab Alam a senior bioinformatician at KAUST's Computational Bioscience Research Center (CBRC) gave a talk on COVID-19 and its impact on public health.

Approximating a kernel of truth

Mar 12, 2020

Machine learning tasks using very large data sets can be sped up significantly by estimating the kernel function that best describes the data.

ML Hub Lectures: Takashi Gojobori

Feb 24, 2020

Dr. Takashi Gojobori, Acting Director of Computational Bioscience Research Center and distinguished professor of bioscience (CBRC) gave a talk on Machine Learning Scan of Complete Genome Sequences of 4,500 Rice Varieties reveals Secrets in the Domestication Process of Crops.

Ramzan Umarov Ph.D. Dissertation Defense | Novel computational methods for promoter identification and analysis

Feb 17, 2020

Ramzan Umarov, a Ph.D. candidate under the supervision of Professor Xin Gao successfully defended his Ph.D. thesis "Novel computational methods for promoter identification and analysis"