Publications / AI for Precision Health

AI for Precision Health

Peer-reviewed research from QCAI, published in leading international venues.

Google Scholar

2025

4 publications
AI for Drug Suitability2025

Machine Learning-Driven Insights and Predictions for CO2 Adsorption in Metal-Organic Frameworks

Skander Charni, Raeesh Muhammad, Abdulkarem I. Amhamed, Brahim Aissa, Halima BensmailInternational Conference on Thermal Engineering (ICTEA) (2025)
View
AI for Disease Analysis2025

Comprehensive Analysis of Rare Variants Associated with Genetic Predisposition to Non-BRCA Familial Breast Cancer Among Arabs

Ehsan Ullah, Hikmat Abdel-Razeq, Sana Bentebbal, Abdullah Shaar, Nehad Alajez, Mohamad Saad, Julie VDecock Clinical Cancer Research (2025)
View
AI for Disease Analysis2025

Genome‐Wide Association Study for Resting Electrocardiogram in the Qatari Population Identifies 6 Novel Genes and Validates Novel Polygenic Risk Scores

Nahin Khan, Abdullah Shaar, Khalid Kunji, Atlas Khan, Mohamed Elshrif, Mohammed Bashir, Mohammed Thamer Ali, Ayman Al Haj Zen, Krzysztof Kiryluk, Georges Nemer, Akl C. Fahed, Mohamad SaadJournal of the American Heart Association (2025)
DOI
AI for Drug Suitability2025

Tisslet: Tissues-based Learning Estimation for Transcriptomics

Ahmed Miloudi, Aisha Al-Qahtani, Thamanna Hashir, Mohamed Chikri, Halima BensmailBMC bioinformatics (2025)
DOI

2024

2 publications
AI for Disease Analysis2024

PopMLvis: a tool for analysis and visualization of population structure using genotype data from genome-wide association studies

Mohamed Elshrif, Keivin Isufaj, Khalid Kunji, Mohamad SaadBMC Bioinformatics (2024)
DOI
AI for Disease Analysis2024

Genetic Susceptibility to Arrhythmia Phenotypes in a Middle Eastern Cohort of 14,259 Whole-Genome Sequenced Individuals

Fatima Qafoud, Mohamed Elshrif, Khalid Kunji, Asma Althani, Amar Salam, Jassim Al Suwaidi, Nidal Asaad, Dawood Darbar, Mohamad SaadJournal of Clinical Medicine (2024)
DOI

2023

2 publications
AI for Drug Suitability2023

Multi-omics and machine learning reveal context-specific gene regulatory activities of PML::RARA in acute promyelocytic leukemia

William Villiers, Audrey Kelly, Xiaohan He, James Kaufman-Cook, Abdurrahman Elbasir, Halima Bensmail, Paul Lavender, Richard Dillon, Borbála Mifsud, Cameron S. OsborneNature Communications (2023)
DOI
AI for Drug Suitability2023

OutSingle: a novel method of detecting and injecting outliers in RNA-Seq count data using the optimal hard threshold for singular values

Edin Salkovic, Abdelkader Baggag, Ahmed Gamal Rashed Salem, Halima Bensmail*, Mohammad AminSadeghi Bioinformatics (2023)
DOI

2022

4 publications
AI for Disease Analysis2022

Validation of Polygenic Risk Scores for Coronary Heart Disease in a Middle Eastern Cohort Using Whole Genome Sequencing

Mohamad Saad, Ayman El-Menyar, Khalid Kunji, Ehsan Ullah, Jassim Al Suwaidi, Iftikhar JKullo Circulation: Genomic and Precision Medicine (2022)
DOI
AI for Disease Analysis2022

Including diverse and admixed populations in genetic epidemiology research

Amke Caliebe, Fasil Tekola‐Ayele, Burcu F. Darst, Xuexia Wang, Yeunjoo E. Song, Jiang Gui, Ronnie A. Sebro, David J. Balding, Mohamad Saad, Marie‐Pierre DubéGenetic Epidemiology (2022)
DOI
AI for Disease Analysis2022

Untargeted Metabolomics Profiling Reveals Perturbations in Arginine-NO Metabolism in Middle Eastern Patients with Coronary Heart Disease

Ehsan Ullah, Ayman El-Menyar, Khalid Kunji, Reem Elsousy, Haira R. B. Mokhtar, Eiman Ahmad, Maryam Al-Nesf, Alka Beotra, Mohammed Al-Maadheed, Vidya Mohamed-Ali, Mohamad Saad, Jassim AlSuwaidi Metabolites (2022)
DOI
AI for Disease Analysis2022

Genetic predisposition to cancer across people of different ancestries in Qatar: a population-based, cohort study

Mohamad Saad, Younes Mokrab, Najeeb Halabi, Jingxuan Shan, Rozaimi Razali, Khalid Kunji, Najeeb Syed, Ramzi Temanni, Murugan Subramanian, Michele Ceccarelli, Said I Ismail, Wadha Al-Muftah, Radja Badji, Hamdi Mbarek, Dima Darwish, Tasnim Fadl, Heba Yasin, Maryem Ennaifar, Rania Abdellatif, Fatima Alkuwari, Muhammad Alvi, Yasser Al-Sarraj, Chadi Saad, Eleni Fethnou, Fatima Qafoud, Eiman Alkhayat, Nahla Afifi, Sara Tomei, Wei Liu, Stephan Lorenz, Najeeb Syed, Hakeem Almabrazi, Fazulur R Vempalli, Ramzi Temanni, Tariq Abu Saqri, Mohammedhusen Khatib, Mehshad Hamza, Tariq Abu Zaid, Ahmed El Khouly, Tushar Pathare, Shafeeq Poolat, Rashid Al-Ali, Omar Albagha, Souhaila Al-Khodor, Mashael Alshafai, Ramin Badii, Lotfi Chouchane, Xavier Estivill, Khalid Fakhro, Hamdi Mbarek, Younes Mokrab, Jithesh V Puthen, Karsten Suhre, Zohreh Tatari, Arash Rafii Tabrizi, Davide Bedognetti, Lotfi ChouchaneThe Lancet Oncology (2022)
DOI

2021

1 publications
AI for Disease Analysis2021

Germline genetic contribution to the immune landscape of cancer

Rosalyn W. Sayaman, Mohamad Saad, Vésteinn Thorsson, Donglei Hu, Wouter Hendrickx, Jessica Roelands, Eduard Porta-Pardo, Younes Mokrab, Farshad Farshidfar, Tomas Kirchhoff, Randy F. Sweis, Oliver F. Bathe, Carolina Heimann, Michael J. Campbell, Cynthia Stretch, Scott Huntsman, Rebecca E. Graff, Najeeb Syed, Laszlo Radvanyi, Simon Shelley, Denise Wolf, Francesco M. Marincola, Michele Ceccarelli, Jérôme Galon, Elad Ziv, Davide Bedognetti ImmunityImmunity (2021)
DOI

2020

2 publications
AI for Drug Suitability2020

Comprehensive review and assessment of computational methods for predicting RNA post-transcriptional modification sites from RNA sequences

Zhen Chen, Pei Zhao, Fuyi Li, Yanan Wang, A. Ian Smith, Geoffrey I. Webb, Tatsuya Akutsu, Abdelkader Baggag, Halima Bensmail, Jiangning SongBriefings in Bioinformatics (2020)
DOI
AI for Drug Suitability2020

BCrystal: An interpretable sequence-based protein crystallization predictor

Abdurrahman Elbasir, Raghvendra Mall, Khalid Kunji, Reda Rawi, Zeyaul Islam, Gwo Yu Chuang, Prasanna R. Kolatkar, Halima Bensmail BioinformaticsBioinformatics (2020)
DOI

2019

1 publications
AI for Drug Suitability2019

DeepCrystal: A Deep Learning Framework for Sequence-based Protein Crystallization Prediction

Abdurrahman Elbasir, Balasubramanian Moovarkumudalvan, Khalid Kunji, Prasanna R. Kolatkar, Halima Bensmail, Raghvendra MallIEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2019)
DOI

2018

2 publications
AI for Disease Analysis2018

Comparison and assessment of family- and population-based genotype imputation methods in large pedigrees

Ehsan Ullah, Raghvendra Mall, Mostafa M. Abbas, Khalid Kunji, Alejandro Q. Nato, Halima Bensmail, Ellen M. Wijsman, Mohamad SaadGenome Research (2018)
DOI
AI for Drug Suitability2018

RGBM: Regularized gradient boosting machines for identification of the transcriptional regulators of discrete glioma subtypes

Raghvendra Mall, Luigi Cerulo, Luciano Garofano, Veronique Frattini, Khalid Kunji, Halima Bensmail, Thais S. Sabedot, Houtan Noushmehr, Anna Lasorella, Antonio Iavarone, Michele CeccarelliNucleic Acids Research (2018)
DOI