الأخبار والفعاليات
News and events
Milestones, new papers and grants from DAQIQ, and the talks and events where you can meet the team.
Coming up
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Upcoming talk: ORCHID-DR: clinical ordinal-lesion attention with semantic prototypes for robust diabetic retinopathy grading
Dr. Zubair Shah at 7th International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2026), Edinburgh, United Kingdom.
Latest
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Dr. Sulaiman Khan completes his PhD
His thesis used longitudinal Qatar Biobank data to predict type 2 diabetes years before it starts. He continues with DAQIQ as a Research Assistant.
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HBKU Thematic Research Grant for AI-driven proactive care
DAQIQ received USD 96,000 from the HBKU Thematic Research Grant Program for AI that monitors health signals and recommends timely care, starting in 2026.
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Talk: Early prediction of type 2 diabetes using multimodal data and tabular transformers
Dr. Zubair Shah at 3rd International Conference on Foundation and Large Language Models (FLLM 2025), Vienna, Austria.
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Three DAQIQ papers in Scientific Reports
In 2025 our team published new methods for predicting type 2 diabetes from DXA bone scans and ECG features, and for grading diabetic retinopathy.
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Talk: DiabEye-Q: AI-driven longitudinal analysis of ophthalmoscopic images for early diabetes prediction in Qatari adults
Dr. Zubair Shah at International Conference on AI in Healthcare (AIiH 2025), Cambridge, United Kingdom.
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Talk: Longitudinal analysis of diabetes–respiratory distress connections in multimodal QBB data using artificial intelligence
Dr. Sulaiman Khan at IEEE International Conference on Information Reuse and Integration for Data Science (IRI 2025).
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KEM-IoMT published in Computers in Biology and Medicine
Our knowledge-graph model recommends medical services for people with diabetes, and is the basis of our new proactive-care project.
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Dr. Farida Mohsen completes her PhD
Her thesis showed that combining retinal images, ECG features and clinical data improves prediction of type 2 diabetes. She now continues as a postdoctoral researcher at HBKU.
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Talk: A comparative evaluation of artificial intelligence-based models in retinal image synthesis
DAQIQ team at 2nd International Conference on Foundation and Large Language Models (FLLM 2024), Dubai, United Arab Emirates.
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Talk: Multimodal deep learning for diabetic retinopathy grading: integrating linear-Radon sinograms and retinal fundus images
DAQIQ team at IEEE 26th International Workshop on Multimedia Signal Processing (MMSP 2024).
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Talk: Introducing RadEx: adaptive parameterized feature extraction from medical images
DAQIQ team at Computer Graphics International Conference (CGI 2024).
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