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Research Hackathon:
Code For Health
23 October, 27 October, 10 November, 20 November 2021
The theme “Code For Health” was created with the aim to bridge the gap between data and healthcare by equipping students with knowledge from various fields of studies. Computer science students will learn how to interpret and utilise medical data and graphs for building better models to meet current needs in healthcare industries, while health sciences students will learn the possible ways of applying machine learning models in their field of studies for a systematic management, analysis, and interpretation skills of big data. This hackathon provides participants the opportunity to enhance your skills ranging from teamwork to problem solving, while building networks with experts from different backgrounds and expertise.
Code For Health:
Workshop & Ideation
23 October 2021
Participants will be grouped into teams of 4 (2 life sciences and 2 computer science students), and together they will exchange skills and brainstorm for a healthcare digital solution. There will be workshops and guidelines provided to ease the process.
ITINERARY
23 October 2021
Session 1: Workshops
Group A (Life Sciences Students)
9.00 AM
Introduction To Machine Learning And Libraries In Python: Data Science Process
Fusionex Team
9.45 AM
Data Acquisition And Preparation
Fusionex Team
10.30 AM
Break
10.40 AM
Building And Evaluation Of Machine Learning Models For Analysis And Prediction
(Part 1: Regression Model)
Fusionex Team
11.25 AM
Break
11.30 AM
Building And Evaluation Of Machine Learning Models For Analysis And Prediction
(Part 2: Classification Model)
Fusionex Team
Group B (Computer Science Students)
9.00 AM
Introduction To Medical Research: Current Trends In Healthcare Data Analytics
Prof Patrice Francois Boursier;
Programme Director, Master in Health Informatics and Analytics; IMU
9.45 AM
Ethics And Regulatory Aspects In Medical Research
Prof Dr Azizi Ayob;
Deputy Director, Commercialisation and Support; IMU
10.30 AM
Break
10.40 AM
Analysing And Interpreting Medical Images
A/Prof Dr Mohammad Faizal Ahmad Fauzi;
Head, MMU-UKM-IMU AI4DP Research Excellence Consortium
11.25 AM
Break
11.30 AM
Analysing And Interpreting Genomic/ Clinical Dataset
Prof Leong Chee Onn;
Deputy Director Research IMU
Session 2: Meet the Team and Group Ideation
2.00 PM
Introduction to the Team and Challenge
2.15 PM
Team Icebreaker in Breakout Rooms
2.45 PM
Introduction to Miro Boards and Toolboxes
3.15 PM
Rules Of Engagement And Team Goals
3.30 PM
Group Ideation:
- Instruction and demo
- Group ideation and getting to a solution
4.30 PM
Group Sharing and Next Steps:
- Each team reveals their Miro boards
- What are the next steps?
- Key takeaway and questions
MEET OUR SPEAKERS
Fusionex Group
Fusionex is an established multi-award-winning data technology provider specialising in analytics, big data, machine learning and artificial intelligence. They help clients manage, make sense of and derive useful insights from the vast amounts of structured and unstructured data at their disposal. They are focused on bridging the gap between business and technology, and in doing so, provide exceptional and positive experiences to customers across various markets.
Prof Dr Azizi Ayob
Prof Dr Azizi Ayob (MD, PhD), is a Deputy Director, IRDI (Commercialisation & Support), IMU, and Professor of Pharmacology, School of Medicine IMU and brings with him over 23 years of industry experience in pharmaceutical, biotechnology and R&D. He served as a technical consultant for two big pharmaceutical companies in ASEAN regions namely Chemical Company Pharmaceutical Malaysia in 2007 and PT Dexa Medica Indonesia in 2010. Currently, he is the technical advisor for clinical development of COVID-19 vaccine together with IMBCAMS’s researcher team of China.
Prof Leong Chee Onn
Prof Leong Chee Onn has conducted a multi-year research focused on drug target discovery, biomarkers development for diagnosis of refractory breast cancers and more. He has received numerous international awards including the Institute of Biomedical Science President’s Award (UK) and the Top Research Scientist Malaysia (TRSM). He was a Senior Research Fellow at the Harvard Medical School and Massachusetts General Hospital, Boston, USA and is presently a Fellow at the Royal Society of Biology, UK, and the Deputy Director of Research at the International Medical University, Malaysia.
Prof Patrice Francois Boursier
Prof Patrice Francois Boursier received his BSc, MSc and PhD in Computer Science in Université Pierre et Marie, France. He was later awarded with National Accreditation for Full Professorship in 1996, and Knighthood by the French Ministry of Higher Education for his service in 2003. With over thirty years of professional activity, he has been involved in both academic and industry related projects. Prof Patrice is currently the Programme Director for the Master in Health Informatics and Analytics, International Medical University.
A/Prof Dr Mohammad Faizal Ahmad Fauzi
A/Prof Dr Mohammad Faizal Ahmad Fauzi (M’00, SM’10) received a PhD in Electronics and Computer Science from University of Southampton, UK in 2004. He is currently an Associate Professor at the Faculty of Engineering, Multimedia University. His main research interests are in the area of signal and image processing, pattern recognition, computer vision and medical imaging. He is currently serving as the Chair for IEEE Region 10 Newsletter Committee, Past Chair of the IEEE Malaysia Section as well as the Advisor for the IEEE Signal Processing Malaysia chapter.