Using Artificial Intelligence (AI) to accelerate the discovery of new therapeutics, for diseases with unmet need

Vision

A leading global innovation center for developing precise therapies using artificial intelligence and emerging technologies

Mission

Harnessing the latest artificial intelligence technologies to accelerate the discovery of innovative drugs for diseases of importance in society and contribute to the transformation to the digital economy .


Objectives

  • To contribute to the Saudi 2030 vision by achieving a prosperous economy based on digitization
  • To use artificial intelligence techniques in drug discovery
  • To transfer and indigenize technologies to build qualified Saudi cadres to advance scientific research in Saudi Arabia
  • To build innovative start-up companies in the field of artificial intelligence
  • To strengthen the partnership between research centers and prestigious bodies inside and outside the Kingdom to develop artificial intelligence technologies and drug discoveries
  • To develop research and patents in the field of artificial intelligence and converting them into products of economic value
  • To contribute to enhancing community health

Research Areas


Board Members



 

HE Professor Abdulrahman Alyoubi

President of King Abdulaziz University
Honorary Chair

Professor Chris Molloy

CEO, Medicine Discovery Catapult
Chair

 

Professor Chas Bountra

Director of the Centre for Medicines Discovery (CMD),
Pro-Vice Chancellor for Innovation,
Professor of Translational Medicine
University of Oxford

Professor Abdulmunem Alhayani

Vice-President for Academic Affairs
King Abdulaziz University

Professor Ameen Nouman

Vice-President for Graduate Studies & Scientific Research
King Abdulaziz University

Professor Yvonne Jones

Joint Head Division of Structural Biology,
Deputy Head Nuffield Department of Clinical Medicine,
The Sir Andrew McMichael Professor of Structural Immunology,
University of Oxford

Prof. John Overington

Vice President Scientist, ExScientia

KAU Administration



Research Units


In this unit a big database will be constructed utilizing patient’s aggregate data. With the purpose of modeling and analyzing the economic, social and cultural effects of rare diseases and its burden on the society both in Saudi Arabia and globally. Big data analytics, artificial intelligence and machine learning skills are utilized to model and assess the socioeconomical effects and to abet decision makers with tools for better healthcare decisions.

This unit is highly driven by artificial Intelligence based medicinal chemistry. We are deriving and employing novel AI based methods for drug discovery.

The efforts of this unit are focused on the discovery of innovative drugs with novel druggable molecular targets as disease-modifying agents for unmet severe pathologies such as genetic disorders, metabolic disorders, oncology diseases, etc.

The Unit will utilize advanced tools of AI such as Constructive Machine Learning in de novo molecular design of novel drug target modulators identified by research activities of CAIPM Units. The AI tools shorten time and increase the efficiency of the drug discovery process in its early stages not only by proposing highly active leads but also combine activity with chemical ‘synthesizability’, a rate-limiting step in the process of lead generation. In terms of cost, AI will help replacing the current model of high-throughput screening (HTS) followed by hit-to-lead phase especially that HTS is not suitable for academic settings.

The unit also aims to enhance advancing leads to drug candidacy (Lead Optimization). The Lead Optimization is a critical step in drug discovery to ensure success of drug candidates in advanced developments including preclinical and clinical phases. AI uses highly efficient Multi-objective optimization of molecular leads to satisfy criteria of drug-likeness such as pharmacokinetics, pharmacodynamics and possible side effects (toxicity) without damaging affinity towards the intended target.

RNA has become an important target for therapy development as it participates in multiple biological problems apart from having a traditional role in protein production. Human genome contains only 30.000genes, yet they produce almost all of the diverse proteins required for various cellular functions. RNA molecules are also crucial for regulation of gene transcription.

The unit has a clear mission (1) to perform high quality research that curtails the foundational aspects of RNA biology; (2) to translate that in depth knowledge of RNA into a novel product; and (3) to transformative RNA therapeutics.

We are focused on a broad range of RNA biology aspects that include study of RNA binding proteins, RNA modifications, non-coding RNAs, RNA interference (RNAi), ribozyme function, and RNA viruses.

The unit is trying to understand RNA translation, stability, surveillance, and localization due to their post synthesis modifications, RNA regulatory networks, identifying and characterization of the roles of non-coding regulatory RNAs (small RNAs and long non-coding RNAs). We are also looking to imply novel AI inspired RNA target informatics and technologies to assess the role of various RNA modifications in RNA stabilization and functions that could lead to potential development of novel RNA targeted therapeutics.

Tissue and Stem Cell technology is one of the most significant and relevant areas of biomedical and translational research. In this unit, we are developing research skills relevant to tissue engineering and stem cell science that include strategies to apply artificial intelligence techniques in the development and evaluation of cell-biomaterial interaction and predictive cellular models for screening purposes.

The unit is developing novel three-dimensional human cellular models that recapitulate different tissues of human origin and can be used as an alternative approach to traditional models for diseases. Further, we aim to develop novel differentiation methods for converting human pluripotent stem cells into cortical neurons and other cell types; and to investigate new types of tissue engineering scaffolds to organize and encapsulate multi-layer functional neural networks.

Additionally, the unit focuses on the development of new bioreactor technology for tissue culture expansion, generation of innovative microprobes and stem cells-based models for drug and toxicology testing.

This unit focuses on the development and application of novel technologies, engineering concepts, principles, and methods that are applicable for biological systems. Innovative technology integrates numerous elements of engineering, biochemistry, chemistry, computer science and materials science with biology. Integrating the fourth industrial revolution technologies such as, 3D Printing, artificial intelligence and genetic engineering will have great impact on developing innovative technologies.

The unit aims to develop innovative technologies such as:

  • Biosensors for rapid detection (i.e., point of care testing / devices)
  • Innovative prosthetics, and related software's utilizing AI
  • 3D printing in precision medicine and pharmaceutical industry
  • Novel bacterial engineering to produce specific resources for industrial & medical use
  • Bioelectronics and biomaterials for application in synthetic biology.
  • Developing and providing a wide range of tools for genetic material manipulation.

Epigenetic changes and genetic differences result in abnormal gene expression or aberrant methylation patterns in many diseases including cancer, obesity, metabolic and autoimmune diseases. The main epigenetic mechanisms which control gene expression are DNA methylation and histone post-translational modifications, as well as the production of non-coding RNAs. The epigenetic marks left by these changes are catalyzed by different enzymes, which can act either as readers, writers or erasers. Manipulation of epigenome is promising since it can be fast, reversible and specific process. Epigenetics is showing attractive alternative to gene editing for the prevention and treatment of several chronic diseases. The main research activity of our group is to screen epigenetically modified candidate genes involved in those diseases which will allow to determine new epigenetic markers for chronic diseases and discover new drugs for the treatment. We also aim to understand how epigenetic information is stored and successfully transmitted to daughter cells during cell division.

Technologies like quantum computing, and the employment of artificial intelligence algorithms in the biological sciences to perform more complex and precise computation in the biological and informatics computing sciences.

Scientists Researchers in this unit are exploring the potential for quantum computing with depth and greater clarity in related fields, whether relying on intensive technological, theoretical or computational development.

This approach aims to comprehensively explore innovative ways to harness and control these behaviors, advancing the quantum computing research field and finding new quantum biological applications.

We highlight the importance of a common language between biological data analysis and quantum computing by studying joint opportunities for computational innovation across various fields.

Ultimately, we believe that “we are on the cusp of the quantum era” and we are already seeing the current and future prospects for the employment of quantum computing algorithms in the biological systems in living organisms.

The Systems biology and machine-learning unit was founded to provide new insights into biology's complex nature and answer critical questions based on big data that is constantly growing in all directions. Systems biology research provided the scientific community with a significant number of key insights for many new concepts and perceptions of how many biological phenomena work. Yet, there are many fundamental questions, and loose ends require answering and investigation. The implementation of machine learning in systems biology can help overcome some serious challenges in the field and result in innovative solutions to these challenges. This research unit aims to provide clever solutions for human diseases and deepen the personalization of medicin for patients. The fact that it is located in the Kingdom of Saudi Arabia with a uniqe genetic makeup of its population can help close up on this goal in conjunction with the expertise at Oxford University.

Furthermore, sustainability and high quality of life are two main goals of the Kingdom's vision 2030. This unit has taken into consideration the achievement of these goals on the long term in personalized medicine. The ability to re-evaluate the efficacy of treatments or the re-purposing of existing drugs with a deeper understanding of their modes of action are examples of some of the unit's projects meant to advance systems biology and create new machine learning solutions.

This unit aims to be the first Saudi based research unit to have a specific scope in utilizing Blockchain technology to transform both medical and healthcare data management and data sharing. The unit will study the utilization of decentralized Blockchain systems, smart contracts and DApps on the management of medical, biomedical and healthcare data. By studying and exploring Blockchain use cases that solve current problems in biomedical and medical data management and apply that in Saudi hospitals and medical centres.

In line with the current goals of vision 2030 and the digitalization of healthcare, the unit aims to create solutions that can be able to place the patient at the centre of the healthcare ecosystem and make healthcare data secure, private, immutable and interoperable within the governmental and private sectors locally and internationally.

Precision genomics uses the genomics of an individual to guide clinical care and to produce personalized diagnostic or therapeutic strategies. In precision genomics, there is a rapid increase in the number and range of AI applications. AI contributes significant improvement in clinical genomics, including rare disease and cancer phenotypes and variant analysis and interpretation.

The advantages of AI models in assessing large, complex biomedical datasets offer enormous potential for speeding up genomics discoveries. Developing and using artificial intelligence systems for diagnostic clinical genome including the studies relating to the description and evolutions of genome in different diseases, studying the future potentials of artificial intelligence in the applications of precision medicine, particularly predicting the risks in complex diseases, and the challenges and limitations that should be addressed carefully in order to analyze the data of genome by using artificial intelligence.

Broadly speaking the value of Artificial Intelligence techniques come from the opportunity to accelerate discoveries of significance to genomic medicine.

Research Member


Hani Choudhry

hchoudhry@kau.edu.sa

Paul Brennan

paul.brennan@cmd.ox.ac.uk

Ashwag Albukhari

aalbukhari@kau.edu.sa

Cassandra Adams

cassandra.adams@cmd.ox.ac.uk

Wesam Abdulaal

whabdulaal@kau.edu.sa

Alejo Nevado-Holgado

alejo.nevado-holgado@psych.ox.ac.uk

Majid Almansouri

malmansouri@kau.edu.sa

Cornelia Duijn

cornelia.vanduijn@ndph.ox.ac.uk

Mazin Zamzami

mzamzami@kau.edu.sa

Charlotte Deane

deane@stats.ox.ac.uk

Salman Hosawi

shosawi@kau.edu.sa

Ehab Abozinadah

Eabozinadah@kau.edu.sa

Amer Asseri

ahasseri@kau.edu.sa

Majed Felemban

maafelemban1@kau.edu.sa

Fatemah Kamel

foakamel@kau.edu.sa

Mustafa Zeyadi

mzyadi@kau.edu.sa

Othman Baothman

oabaothman@kau.edu.sa

Khalidah Nasser

kknasser@kau.edu.sa

Faisal Alzahrani

faahalzahrani@kau.edu.sa

Abdelsattar Omar

asmansour@kau.edu.sa

Mahmoud Ragab

hchoudhry@kau.edu.sa

Mohammad Khan

mikhan@kau.edu.sa

Mahmoud Elfaky

melfaky@kau.edu.sa

Moustafa El-Araby

madaoud@kau.edu.sa

Hisham Altayeb

hdemmahom@kau.edu.sa

Haneen Banjar

hrbanjar@kau.edu.sa

Diena Almasri

dalmasri@kau.edu.sa

Mahmoud Alhosin

malhaseen@kau.edu.sa

Nofe Alganmi

nalghanimi@kau.edu.sa

Aliaa Alamoudi

aaalamoudi2@kau.edu.sa

Haifa Alnahdi

Hmalnahdi@kau.edu.sa

Samer Alamoudi

smsalamoudi@kau.edu.sa

Hatem R. Besbes

hbesbes@kau.edu.sa

Reem Alsolami

ramalsolami@kau.edu.sa

Heba Alkhatabi

Halkhattabi@kau.edu.sa

Naif Almalki

naralmalki@kau.edu.sa

Bassim Arkook

barkook@kau.edu.sa

Tahani Bakhsh

tahani.bakhsh@hotmail.com

Ahmad Varish

ahmad.varish@gmail.com

Jenny Mostapha

Hamzah

hhahmed@kau.edu.sa

Faisal Alsharef

faisal.alshref@wolfson.ox.ac.uk

News


Launch of King Abdulaziz University and University of Oxford Centre for Artificial Intelligence in Precision Medicine (CAIPM)

KAU signed an agreement to establish a joint international centre with University of Oxford, entitled “King Abdulaziz University and University of Oxford Centre for Artificial Intelligence in Precision Medicine (CAIPM)”, as an extension of the university's strategic plan to expand horizons of cooperation and enhance the position of the university and the Kingdom globally in the field of scientific innovation, and build bridges of communication for the exchange of experiences with various prestigious universities and distinguished research centres.

The university was represented in the agreement by KAU president, His Excellency Prof. Abdul Rahman Al-Youbi, and on behalf of the University of Oxford, Professor Louis Richardson, President of the University, on Thursday, October 1, 2020 via the electronic platform, and the agreement witnessed the presence of His Royal Highness Prince Khalid bin Bandar bin Sultan bin Abdulaziz, the Ambassador of the Custodian of the Two Holy Mosques to the United Kingdom, His Excellency the Deputy Minister of Education for Universities, Research and Innovation, Dr. Muhammad Al-Sudairi, His Excellency the Cultural Attaché in Britain, Dr. Abdulaziz Al-Radadi, the university’s Vice-Presidents and a number of deans of faculties and researchers from the two universities.

Through this agreement, the centre will be established in the two universities, which in turn brings together senior researchers specialized in artificial intelligence to provide innovative and creative solutions to discover accurate treatments for rare diseases, metabolic and heart diseases. Pharmaceutical industries, in cooperation and partnership with Oxford University and a number of relevant private sector institutions.

The centre frames the appropriate environment and the presence of the knowledge society in the Kingdom, to be a successful competitor with its outputs in the regional and global markets and will contribute strongly and directly to the promotion of comprehensive development strategies.

Signing MoU with MirZyme

The British company “Mirzyme” signed a joint cooperation agreement with the university to establish a human capacity development project for the pharmaceutical industry, through the company’s student training programs, to develop the research and innovation aspect in the field of artificial intelligence and disease diagnosis, as well as to develop innovative pharmaceutical products for diseases related to pregnancy on Monday 23ed August 2020.

The university was represented in the agreement by KAU president, His Excellency Prof. Abdul Rahman bin Obaid Al Youbi, while the side of the MirZyme Pharmaceutical Company was represented by its CEO, Professor Asif Ahmed. The agreement witnessed the attendance of the University's Vice-President for Educational Affairs, Prof. Abdel Moneim El Hayani, Dean of the College of Sciences, Prof. Abdul Rahman Al-Malki, Director of the Artificial Intelligence Center in Precision Treatments, Dr. Hani Chaudry, and several researchers and faculty members.

During first phase, the collaboration will focus on developing a diagnostic tool using artificial intelligence and cloud computing technologies that will enable patients and doctors to use the application to predict a few pregnancy-related diseases. Artificial intelligence techniques for data analysis and application development will also be developed by the researchers of the Centre for Artificial Intelligence in Precision Medicines and the company's researchers, whose use will be open to all, patients, and doctors, around the world without any fees.

In addition, the agreement will open opportunities for training students at MirZyme, exchanging experiences and consultations between the two parties, and conducting innovative applied research in the field of artificial intelligence and drug discoveries to provide treatments for the most common diseases in the Kingdom.

First CAIPM Board Meeting

First annual CAIPM board meeting was held on the 30th November 2021 in person at St Peters College, Oxford.

The Saudi ambassador Prince khalid Bin Bandar visits CAIPM at Oxford University

Royal Highness Prince Khalid bin Bandar, Ambassador of the Custodian of the Two Holy Mosques in London, visited the King Abdulaziz University and Oxford University Center for Artificial Intelligence in Precision Medicine in Oxford. Where did Dr. Chas Pawntra and his team briefed His Highness on the work of the center, and its goal of accelerating medical discoveries using artificial intelligence techniques

The Saudi Minister of education visits CAIPM at Oxford University

Minister of Education Dr. Hamad Al-Sheikh, visits the King Abdulaziz University and Oxford University Center for Artificial Intelligence in Precision Medicine in Oxford.

Royal Highness Prince Khalid bin Bandar, Ambassador of the Custodian of the Two Holy Mosques in London, visited the King Abdulaziz University and Oxford University Center for Artificial Intelligence in Precision Medicine in Oxford. Where did Dr. Chas Pawntra and his team briefed His Highness on the work of the center, and its goal of accelerating medical discoveries using artificial intelligence techniques

Minister of Education Dr. Hamad Al-Sheikh, visits the King Abdulaziz University and Oxford University Center for Artificial Intelligence in Precision Medicine in Oxford.

Events


Identifying druggable cryptic pockets in drug resistant β lactamases using deep learning

The use of artificial Intelligence in psychiatry

Webinar Series Artificial Intelligence & the Disruptive Technologies Shaping the Future of Materials Design

Developing interpretable artificial intelligence to understand the molecular evolution of cancer

Functional characterisation of Type 2 Diabetes (T2D) Associated genes in beta cells

ندوة في الذكاء الاصطناعي

الذكاء الاصطناعي واكتشافات الأدوية

Artificial intelligence for precision medicine

Personalized Healthcare Using Artificial Intelligence

Old Dogs New Tricks

Functional characterisation of Type2

ندوة الذكاء الاصطناعي

الذكاء الاصطناعي واكتشافات الأدوية

الذكاء الاصطناعي في الطب الشخصي

الذكاء الاصطناعي في الطب الشخصي

Personalized Healthcare Using Artificial Intelligence

Cloud-based Hands-on Workshop

Cloud-based Hands-on Workshop

Programs_01.jpg

KAU-Oxford scholarship programme

Partners




Contact Email

caipm-info@kau.edu.sa


Address

Kingdom Saudi Arabia Abdullah Sulayman, King Abdul Aziz University,


Post Address

P.O Box 80200 Jeddah 21589