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Hacking the SARS-CoV-2 genome

KAUST ·

KAUST researchers are analyzing the SARS-CoV-2 genome to identify potential targets for treatment and vaccine development. They are using the KAUST Metagenome Analysis Platform (KMAP) and the university's supercomputer to compare and analyze genomic data. The research focuses on identifying key genes for detection and treatment of COVID-19. Why it matters: This research contributes to the global effort to combat the pandemic and highlights KAUST's capabilities in genomic data analysis and computational bioscience.

The "new normal" — major trends post COVID-19

KAUST ·

An article from KAUST discusses the impact of COVID-19 on automation, material science, and VR. It suggests increased automation, voice activation, and motion detection to reduce transmission in public spaces. KAUST faculty member Derya Baran is working on antimicrobial materials for high-touch locations, and KAUST is exploring VR for virtual labs. Why it matters: The pandemic is accelerating the adoption of AI-driven solutions and advanced materials research within Saudi Arabia to address public health challenges.

A shock to the system

KAUST ·

KAUST Professor Hernando Ombao is leading the Biostatistics Group to develop statistical models for projecting hospitalization surges during the COVID-19 pandemic. The group uses techniques like time series analysis and stationary subspace analysis to understand complex biological processes. The models aim to provide public health officials with accurate hospitalization estimates under varying scenarios. Why it matters: This research contributes to preparedness and resource allocation in healthcare systems during public health crises, with potential applications beyond COVID-19.

How Does AI Help Fight The COVID-19 Pandemic?

MBZUAI ·

Dr. Mohammad Yaqub from MBZUAI will present AI solutions used to combat the COVID-19 pandemic, addressing healthcare consequences, social, economic, and policy-making decisions. The talk will cover the applications of AI and also discuss challenges like privacy, data needs, generalizability, data noise, and human acceptance. Yaqub's background includes a DPhil from the University of Oxford in Biomedical Engineering and research at the Institute of Biomedical Engineering, focusing on machine learning solutions for medical problems. Why it matters: This talk highlights the important role of AI in addressing pandemics and the ethical considerations that come with its application in healthcare and policymaking.

Detecting the next pandemic using wastewater

KAUST ·

KAUST Associate Professor Peiying Hong delivered a lecture on using wastewater testing to detect outbreaks earlier. The lecture explains how wastewater testing could lead to faster detection and more effective response to future pandemics. The research was presented at King Abdullah University of Science and Technology. Why it matters: Wastewater epidemiology can provide early warnings for emerging pathogens and improve public health preparedness in the region.

MBZUAI webinar offers an opportunity to learn more about COVID-19 and AI’s role in pandemics

MBZUAI ·

MBZUAI is hosting a free webinar on August 4th from 6-7pm titled ‘How does AI help fight the COVID-19 pandemic?’. The webinar will be led by Dr. Mohammad Yaqub, Assistant Professor at MBZUAI, and will discuss the role of AI before, during, and after a pandemic. Registration is available at www.mbzuai.ac.ae/aitalks. Why it matters: This webinar aims to educate the public on the potential of AI in addressing pandemics, aligning with MBZUAI's social responsibility efforts in the UAE.

COVID-19: MBZUAI expert discusses the role of AI in predicting and fighting pandemics

MBZUAI ·

MBZUAI hosted an AI Talks session featuring Dr. Mohammad Yaqub discussing AI's role in fighting COVID-19 and predicting future pandemics. AI can detect outbreaks by mining news and social media for unusual patterns, as demonstrated by companies flagging pneumonia cases in Wuhan before the official announcement. AI-empowered drug repurposing identified Baricitinib as a potential COVID-19 treatment and can predict virus mutations. Why it matters: This highlights the potential of AI to enhance pandemic preparedness and response in the region, particularly through institutions like MBZUAI.

Detecting and tracking the coronavirus is hard, but not impossible

KAUST ·

KAUST's Rapid Research Response Team (R3T), including Professor Samir Hamdan, is working to understand and counteract the spread of COVID-19. The team assembled a complete homemade, one-step RT-PCR test, comparable to commercial kits, with a patent-free manufacturing recipe. KAUST R3T is also researching faster, more accurate point-of-care tests, including a CRISPR-based molecular test. Why it matters: This research provides accessible testing solutions and contributes to more effective and rapid detection methods for combating viral spread in the region and globally.