KAUST-MBSC Invitational Healthcare Analytics and Data Science Workshop

Feb 13 2020 08:30 AM - Feb 13 2020 04:30 PM

​The amount of collected medical data and computational power are growing rapidly, which creates new opportunities to impact and improve healthcare through advanced analytics and data science. We aim to bring together practitioners and researchers from across the Kingdom to exchange knowledge and explore possible collaborations. Organizers​:  Joris van de Klundert (Prince Mohammad Bin Salman College for Business & Entrepreneurship), Michal Mankowski & Mikhail Moshkov (King Abdullah University of Science and Technology) 

Agenda:

8:30-9:00 - breakfast & coffee 
9:00- 9:30 - Opening - VP Najah Ashry (KAUST), Dean Zeger Degraeve (MBSC)
9:30 - 10:00 - Joris van de Klundert - “Big Data & Analytics for Value Based Hospital Performance Improvement” 
10:00 - 10:30 - Ahmed Alfares (NGHA) - “How genomic data is transforming healthcare in Saudi Arabia” 
10:30 - 11:00 - coffee break + networking 
11:00 - 11:15 - Dillon Fritz - Introducing KAUST Smart Health Initiative  
11:15 - 11:30 - Takashi Gojobori - Introducing KAUST Computational Bioscience Research Center  
11:30 - 12:00 - Robert Hoehndorf “Incorporating knowledge into biomedical data analysis” 
12:00 - 13:00 - lunch break 
13:00 - 13:30 - Ziad Nakshabandi (SCFHS) - TBD 
13:30 - 14:00 - Meriem Laleg - “Signal processing-based features generation for classification of biomedical signals”  
14:00 - 14:30 - Michal Mankowski - “On Analytics and AI in Healthcare - US organ transplantation example” 
14:30 - 15:00 - coffee break + networking 
15:00 -16:00 - final remarks and discussion - moderated by Joris van de Klundert  
16:00 - 16:30 - transition to dinner venue 
16:30 - 18:00 - dinner (Invitation only)


Chairman:
Morning session (9-12): Zeger Degraeve,
Dean of Prince Mohammad Bin Salman College
of Business and Entrepreneurship.

Afternoon session (13-16): Khalid AlQumaizi,
Vice President for Southern and Northern
regions at Health Holding Company project

Speakers:
Najah Ashry, The Vice President of Strategic
National Advancement at King Abdullah
University of Science and Technology and Senior
Associate to the President.

Zeger Degraeve, Dean of Prince Mohammad Bin
Salman College of Business and
Entrepreneurship.

Joris van de Klundert, Vice Dean of Academic
Affairs at Prince Mohammad Bin Salman College
of Business and Entrepreneurship and Professor
of Operations Management.

Ahmed Alfares, Assistant professor at Qassim
University, Saudi Arabia and a consultant in
medical genetics at National Guard Hospital

Dillon Fritz, Head - Bio Innovation at King
Abdullah University of Science and Technology

Robert Hoehndorf, Assistant Professor in
Computer Science at King Abdullah University of
Science and Technology

Abdulrahman Housawi, Chief Executive Officer,
Planning and Organizational Excellence at The
Saudi Commission for Health Specialties
(SCFHS).

Amr Jamal, General-Secretariat Consultant for
health informatics and e-learning Saudi
Commission for Health Specialties.

Meriem Laleg, Associate Professor in Electrical
Engineering at King Abdullah University of
Science and Technology

Michal Mankowski, Ph.D. Candidate at King
Abdullah University of Science and Technology
Andrew Yip, Digital & Analytics Lead at NEOM

Takashi Gojobori, Acting Director of CBRC, Distinguished Professor in Bioscience,
King Abdullah University of Science and technology


Abstract:

Takashi Gojobori: Introducing KAUST Computational Bioscience Research Center 


Meriem Laleg: Signal processing-based features generation for classification of biomedical signals

Classification of biomedical signals often requires the extraction of pertinent and discriminative
features. However, due to their complex nature and the challenges in collecting a sufficient and
diverse dataset, the characterization of such signals is challenging. In this talk, we will introduce and
analyze the overall prediction performance of new approaches to generate signals’ characteristics.
The first approach uses appropriate transformations to produce new set of features. The other
method projects the original signal into a small-sized feature vector using the notion of Position
Weight Matrices (PWMs) tool. The results will be illustrated and discussed on the detection of
epileptic spikes using Magnetoencephalography (MEG) signals and the characterization of the
arterial stiffness using PPG data.


Robert Hoehndorf: Incorporating knowledge into biomedical data analysis

The life sciences have invested significant resources in the development and application of
semantic technologies to make research data accessible and interlinked, and to enable the
integration and analysis of data. Utilizing ontologies and knowledge bases in machine learning
methods can add domain-specific background knowledge and enforce consistent predictions with
respect to domain knowledge. I will show how to incorporate deep knowledge in biomedical data
analysis methods, and how this enables new and more complex applications and discovery.


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