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Professors V. Bajic T. Gojobori S. Arold X. Gao R. Hoehndorf T.-M. Laleg-Kirati C. Hauser C. Duarte
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Comparative Analysis of Deterministic and Nondeterministic Decision Trees

Oct 22, 2020

New book of Mikhail Moshkov "Comparative Analysis of Deterministic and Nondeterministic Decision Trees" is published by Springer

Ph.D. Dissertation defense Abderrrazak Chahid | Post-processing and Feature Extraction Methods for Smart Biomedical Signal Monitoring: Algorithms and Applications

Oct 19, 2020

Abderrazak Chahid, a Ph.D. candidate under the supervision of Associate Professor Mariem Laleg defended his Ph.D. thesis "Post-processing and Feature Extraction Methods for Smart Biomedical Signal Monitoring: Algorithms and Applications".

Ph.D. Dissertation Defense by Fatima Zohra Smaili| Machine Learning Models for Biomedical Ontology Integration and Analysis

Sep 10, 2020

Fatima Zohra Smaili, a Ph.D. candidate under the supervision of Associate Professor Xin Gao defended her Ph.D. thesis "Machine Learning Models for Biomedical Ontology Integration and Analysis"

Professor Stefan Arold Promoted to Associate Dean of BESE division at KAUST

Sep 10, 2020

The CBRC congratulates Professor Stefan Arold on becoming the Associate Dean of Biological and Environmental Sciences and Engineering Division (BESE), in KAUST.

Computers excel in chemistry class

Aug 24, 2020

Machine learning models can rapidly and accurately estimate key chemical parameters related to molecular reactivity.

Studying COVID-19’s envelope protein

Jul 27, 2020

A likeness between genes of the SARS and COVID-19 viruses could inform research into potential treatments.

Efficient manuscript writing in six steps

Jun 30, 2020

When it comes to manuscript writing, many students and junior scientists tend to face the same difficulties and make the same mistakes because they lack a structured approach and basic guidelines. This situation leads to a highly inefficient and frustrating process, where students spend much time producing an initial draft that has fundamental structural and stylistic flaws. The mentor then either needs to spend an equally excessive amount of time explaining all the mistakes to help the student correct them; or the mentor resolves to make the corrections him/herself, which is also time-consuming and provides only little learning experience for the student. Therefore, I propose a structured approach that breaks down the writing process in six simple steps. Mentor feedback is integrated into this process to catch structural and fundamental problems before they can propagate through the manuscript. Through the combination of structure and feedback, this approach should allow completing the manuscript swiftly and efficiently, with minimal efforts for both junior scientist and mentor.

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.