Shehla Rafiq

Employment

Employment history is unavailable.

Education

• Islamic University of Science and Technology Ph.D.
  2022 - Present

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• Retraction note: Block - XOR based cancellable template protection scheme for multi-instance iris biometric system (Multimedia Tools and Applications, (2022), 81, 16, (23217-23235), 10.1007/s11042-022-12655-z)
  Multimedia Tools and Applications 2026 DOI: 10.1007/s11042-026-21630-x
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• RNAS-sgRNA: Recurrent Neural Architecture Search for Detection of On-Target Effects in Single Guide RNA
  Journal of Computational Biology 2025 DOI: 10.1089/cmb.2025.0031
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• Artificial Intelligence in Obesity and Diabetes
  Artificial Intelligence in Human Health and Diseases 2025 DOI: 10.1007/978-981-96-8176-1_11
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• Deep Reinforcement Learning in Medical Science: Methods, Applications, and Future Directions
  Artificial Intelligence in Human Health and Diseases 2025 DOI: 10.1007/978-981-96-8176-1_3
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• Machine learning and deep learning for genomic data: a data-centric approach to CRISPR/Cas9 gene editing
  International Journal of Data Science and Analytics 2025 DOI: 10.1007/S41060-025-00773-4
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• Multi-omics technology and cardiovascular diseases
  Multi Omics Technology in Human Health and Diseases Genomics Epigenomics Transcriptomics Proteomics Metabolomics Radiomics Multi Omics 2025 DOI: 10.1016/B978-0-443-13595-8.00011-8
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• Multi-omics technology and cardiovascular diseases
  Multi-Omics Technology in Human Health and Diseases 2025 DOI: 10.1016/B978-0-443-13595-8.00011-8
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• Random forest and explainable AI for autism gene prioritization: a machine learning approach to developmental brain data
  International Journal of Developmental Disabilities 2025 DOI: 10.1080/20473869.2025.2590001
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• Block-XOR based cancellable template protection scheme for multi-instance iris biometric system
  Multimedia Tools and Applications 2022 DOI: 10.1007/S11042-022-12655-Z
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• Post-traumatic Stress Disorder (PTSD) Prediction in Covid-19 Survivors- A Clinical Questionnaire and Machine Learning Based Approach
  2022 DOI: 10.1109/NKCON56289.2022.10126735
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