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2021

Journal Article

Bioinformatics and system biology approach to identify the influences of COVID-19 on cardiovascular and hypertensive comorbidities

Nashiry, Asif, Sarmin Sumi, Shauli, Islam, Salequl, Quinn, Julian M. W and Moni, Mohammad Ali (2021). Bioinformatics and system biology approach to identify the influences of COVID-19 on cardiovascular and hypertensive comorbidities. Briefings in Bioinformatics, 22 (2), 1387-1401. doi: 10.1093/bib/bbaa426

Bioinformatics and system biology approach to identify the influences of COVID-19 on cardiovascular and hypertensive comorbidities

2021

Journal Article

Network-based identification genetic effect of SARS-CoV-2 infections to Idiopathic pulmonary fibrosis (IPF) patients

Taz, Tasnimul Alam, Ahmed, Kawsar, Paul, Bikash Kumar, Kawsar, Md, Aktar, Nargis, Mahmud, S. M. Hasan and Moni, Mohammad Ali (2021). Network-based identification genetic effect of SARS-CoV-2 infections to Idiopathic pulmonary fibrosis (IPF) patients. Briefings in Bioinformatics, 22 (2), 1254-1266. doi: 10.1093/bib/bbaa235

Network-based identification genetic effect of SARS-CoV-2 infections to Idiopathic pulmonary fibrosis (IPF) patients

2021

Journal Article

Use of electronic health data for disease prediction: a comprehensive literature review

Hossain, Md. Ekramul, Khan, Arif, Moni, Mohammad Ali and Uddin, Shahadat (2021). Use of electronic health data for disease prediction: a comprehensive literature review. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 18 (2) 8815739, 745-758. doi: 10.1109/tcbb.2019.2937862

Use of electronic health data for disease prediction: a comprehensive literature review

2021

Conference Publication

Movie genre classification with deep neural network using poster images

Hossain, Nayeem, Ahamad, Md. Martuza, Aktar, Sakifa and Moni, Mohammad Ali (2021). Movie genre classification with deep neural network using poster images. 2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), Dhaka, Bangladesh, 27-28 February 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/ICICT4SD50815.2021.9396778

Movie genre classification with deep neural network using poster images

2021

Journal Article

Identification of biomarkers and pathways for the SARS-CoV-2 infections that make complexities in pulmonary arterial hypertension patients

Taz, Tasnimul Alam, Ahmed, Kawsar, Paul, Bikash Kumar, Al-Zahrani, Fahad Ahmed, Mahmud, S M Hasan and Moni, Mohammad Ali (2021). Identification of biomarkers and pathways for the SARS-CoV-2 infections that make complexities in pulmonary arterial hypertension patients. Briefings in Bioinformatics, 22 (2), 1451-1465. doi: 10.1093/bib/bbab026

Identification of biomarkers and pathways for the SARS-CoV-2 infections that make complexities in pulmonary arterial hypertension patients

2021

Journal Article

Deep convolutional neural networks based ECG beats classification to diagnose cardiovascular conditions

Rashed-Al-Mahfuz, Md., Moni, Mohammad Ali, Lio’, Pietro, Islam, Sheikh Mohammed Shariful, Berkovsky, Shlomo, Khushi, Matloob and Quinn, Julian M. W. (2021). Deep convolutional neural networks based ECG beats classification to diagnose cardiovascular conditions. Biomedical Engineering Letters, 11 (2), 147-162. doi: 10.1007/s13534-021-00185-w

Deep convolutional neural networks based ECG beats classification to diagnose cardiovascular conditions

2021

Journal Article

Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: The Right to Sight: an analysis for the Global Burden of Disease Study

Bourne, Rupert R.A., Steinmetz, Jaimie D., Saylan, Mete, Mersha, Abera M., Weldemariam, Abrha Hailay, Wondmeneh, Temesgen Gebeyehu, Sreeramareddy, Chandrashekhar T., Pinheiro, Marina, Yaseri, Mehdi, Yu, Chuanhua, Zastrozhin, Mikhail Sergeevich, Zastrozhina, Anasthasia, Zhang, Zhi-Jiang, Zimsen, Stephanie R.M., Yonemoto, Naohiro, Tsegaye, Gebiyaw Wudie, Vu, Giang Thu, Vongpradith, Avina, Renzaho, Andre M.N., Sorrie, Muluken Bekele, Shaheen, Amira A., Shiferaw, Wondimeneh Shibabaw, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Saya, Ganesh Kumar, Rahimi-Movaghar, Vafa, Shigematsu, Mika, Sahraian, Mohammad Ali, Naderifar, Homa ... GBD 2019 Blindness and Vision Impairment Collaborators on behalf of the Vision Loss Expert Group of the Global Burden of Disease Study (2021). Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: The Right to Sight: an analysis for the Global Burden of Disease Study. The Lancet Global Health, 9 (2), e144-e160. doi: 10.1016/S2214-109X(20)30489-7

Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: The Right to Sight: an analysis for the Global Burden of Disease Study

2021

Journal Article

Computational formulation and immune dynamics of a multi-peptide vaccine candidate against Crimean-Congo hemorrhagic fever virus

Khan, Md. Shakil Ahmed, Nain, Zulkar, Syed, Shifath Bin, Abdulla, Faruq, Moni, Mohammad Ali, Sheam, Md. Moinuddin, Karim, Mohammad Minnatul and Adhikari, Utpal Kumar (2021). Computational formulation and immune dynamics of a multi-peptide vaccine candidate against Crimean-Congo hemorrhagic fever virus. Molecular and Cellular Probes, 55 101693, 101693. doi: 10.1016/j.mcp.2020.101693

Computational formulation and immune dynamics of a multi-peptide vaccine candidate against Crimean-Congo hemorrhagic fever virus

2021

Conference Publication

Machine learning model to predict autism investigating eye-tracking dataset

Akter, Tania, Ali, Mohammad Hanif, Khan, Md. Imran, Satu, Md. Shahriare and Moni, Mohammad Ali (2021). Machine learning model to predict autism investigating eye-tracking dataset. 2nd International Conference on Robotics, Electrical and Signal Processing Techniques, ICREST 2021, Dhaka, Bangladesh, 5-7 January 2021. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICREST51555.2021.9331152

Machine learning model to predict autism investigating eye-tracking dataset

2021

Conference Publication

The implementation of public health and economic measures during the first wave of COVID-19 by different countries with respect to time, infection rate and death rate

Uddin, Shahadat, Imam, Tasadduq and Ali Moni, Mohammad (2021). The implementation of public health and economic measures during the first wave of COVID-19 by different countries with respect to time, infection rate and death rate. 2021 Australasian Computer Science Week Multiconference, Dunedin, New Zealand, 1-5 February 2021. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3437378.3437384

The implementation of public health and economic measures during the first wave of COVID-19 by different countries with respect to time, infection rate and death rate

2021

Conference Publication

Improved machine learning based classification model for early autism detection

Akter, Tania, Khan, Md. Imran, Ali, Mohammad Hanif, Satu, Md. Shahriare, Uddin, Md. Jamal and Moni, Mohammad Ali (2021). Improved machine learning based classification model for early autism detection. 2nd International Conference on Robotics, Electrical and Signal Processing Techniques, ICREST 2021, Dhaka, Bangladesh, 5-7 January 2021. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICREST51555.2021.9331013

Improved machine learning based classification model for early autism detection

2021

Journal Article

Identification of common pathogenetic processes between schizophrenia and diabetes mellitus by systems biology analysis

Rahman, Md Rezanur, Islam, Tania, Nicoletti, Ferdinando, Petralia, Maria Cristina, Ciurleo, Rosella, Fisicaro, Francesco, Pennisi, Manuela, Bramanti, Alessia, Demirtas, Talip Yasir, Gov, Esra, Islam, Md Rafiqul, Mussa, Bashair M., Moni, Mohammad Ali and Fagone, Paolo (2021). Identification of common pathogenetic processes between schizophrenia and diabetes mellitus by systems biology analysis. Genes, 12 (2) 237, 1-14. doi: 10.3390/genes12020237

Identification of common pathogenetic processes between schizophrenia and diabetes mellitus by systems biology analysis

2021

Journal Article

Onslaught of COVID-19: How did governments react and at what point of the crisis?

Uddin, Shahadat, Imam, Tasadduq, Moni, Mohammad Ali and Thow, Anne-Marie (2021). Onslaught of COVID-19: How did governments react and at what point of the crisis?. Population Health Management, 24 (1), 13-19. doi: 10.1089/pop.2020.0138

Onslaught of COVID-19: How did governments react and at what point of the crisis?

2021

Journal Article

Whole proteome screening and identification of potential epitopes of SARS-CoV-2 for vaccine design-an immunoinformatic, molecular docking and molecular dynamics simulation accelerated robust strategy

Ezaj, Md. Muzahid Ahmed, Junaid, Md., Akter, Yeasmin, Nahrin, Afsana, Siddika, Aysha, Afrose, Syeda Samira, Nayeem, S. M. Abdul, Haque, Md. Sajedul, Moni, Mohammad Ali and Hosen, S. M. Zahid (2021). Whole proteome screening and identification of potential epitopes of SARS-CoV-2 for vaccine design-an immunoinformatic, molecular docking and molecular dynamics simulation accelerated robust strategy. Journal of Biomolecular Structure and Dynamics, 40 (14), 1-26. doi: 10.1080/07391102.2021.1886171

Whole proteome screening and identification of potential epitopes of SARS-CoV-2 for vaccine design-an immunoinformatic, molecular docking and molecular dynamics simulation accelerated robust strategy

2021

Journal Article

Identifying the function of methylated genes in Alzheimer’s disease to determine epigenetic signatures: a comprehensive bioinformatics analysis

Rahman, Md Rezanur, Islam, Tania, Gov, Esra, Quinn, Julian M.W. and Moni, Mohammad Ali (2021). Identifying the function of methylated genes in Alzheimer’s disease to determine epigenetic signatures: a comprehensive bioinformatics analysis. Experimental Results, 2 e9, 1-13. doi: 10.1017/exp.2020.65

Identifying the function of methylated genes in Alzheimer’s disease to determine epigenetic signatures: a comprehensive bioinformatics analysis

2021

Journal Article

Genome-wide integrative analysis reveals common molecular signatures in blood and brain of alzheimer’s disease

Rahman, Md Rezanur, Islam, Tania, Shahjaman, Md, Rana, Md Humayun Kabir, Holsinger, R. M. Damian, Quinn, Julian M. W., Gov, Esra and Moni, Mohammad Ali (2021). Genome-wide integrative analysis reveals common molecular signatures in blood and brain of alzheimer’s disease. Biointerface Research in Applied Chemistry, 11 (2), 8686-8701. doi: 10.33263/BRIAC112.86868701

Genome-wide integrative analysis reveals common molecular signatures in blood and brain of alzheimer’s disease

2021

Journal Article

A deep convolutional neural network method to detect seizures and characteristic frequencies using Epileptic Electroencephalogram (EEG) data

Rashed-Al-Mahfuz, Md., Moni, Mohammad Ali, Uddin, Shahadat, Alyami, Salem A., Summers, Matthew A. and Eapen, Valsamma (2021). A deep convolutional neural network method to detect seizures and characteristic frequencies using Epileptic Electroencephalogram (EEG) data. IEEE Journal of Translational Engineering in Health and Medicine, 9 9319690, 1-12. doi: 10.1109/jtehm.2021.3050925

A deep convolutional neural network method to detect seizures and characteristic frequencies using Epileptic Electroencephalogram (EEG) data

2021

Journal Article

A computational approach to design potential siRNA molecules as a prospective tool for silencing nucleocapsid phosphoprotein and surface glycoprotein gene of SARS-CoV-2

Chowdhury, Umar Faruq, Sharif Shohan, Mohammad Umer, Hoque, Kazi Injamamul, Beg, Mirza Ashikul, Sharif Siam, Mohammad Kawsar and Moni, Mohammad Ali (2021). A computational approach to design potential siRNA molecules as a prospective tool for silencing nucleocapsid phosphoprotein and surface glycoprotein gene of SARS-CoV-2. Genomics, 113 (1 Part 1), 331-343. doi: 10.1016/j.ygeno.2020.12.021

A computational approach to design potential siRNA molecules as a prospective tool for silencing nucleocapsid phosphoprotein and surface glycoprotein gene of SARS-CoV-2

2021

Conference Publication

Survival prediction for prostate cancer using machine learning and bioinformatics models

Chowdhury, Utpala Nanda, Ahmad, Shamim, Islam, M. Babul and Moni, Mohammad Ali (2021). Survival prediction for prostate cancer using machine learning and bioinformatics models. 2021 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), Rajshahi, Bangladesh, 26-27 December 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/IC4ME253898.2021.9768443

Survival prediction for prostate cancer using machine learning and bioinformatics models

2021

Conference Publication

COVID-Hero: machine learning based COVID-19 awareness enhancement mobile game for children

Satu, Md. Shahriare, Mizan, K. Shayekh Ebne, Jerin, Syeda Anika, Whaiduzzaman, Md, Barros, Alistair, Ahmed, Kawsar and Moni, Mohammad Ali (2021). COVID-Hero: machine learning based COVID-19 awareness enhancement mobile game for children. First International Conference on Applied Intelligence and Informatics, AII 2021, Online, 30-31 July 2021. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-82269-9_25

COVID-Hero: machine learning based COVID-19 awareness enhancement mobile game for children