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2024

Journal Article

Prediction of white blood cell count during exercise: a comparison between standalone and hybrid intelligent algorithms

Asadi, Shirin, Tartibian, Bakhtyar, Moni, Mohammad Ali and Eslami, Rasoul (2024). Prediction of white blood cell count during exercise: a comparison between standalone and hybrid intelligent algorithms. Scientific Reports, 14 (1) 20683. doi: 10.1038/s41598-024-71576-z

Prediction of white blood cell count during exercise: a comparison between standalone and hybrid intelligent algorithms

2024

Journal Article

DeepQSP: Identification of Quorum Sensing Peptides Through Neural Network Model

Ashikur Rahman, Md., Mamun Ali, Md., Ahmed, Kawsar, Mahmud, Imran, Bui, Francis M., Chen, Li, Kumar, Santosh and Moni, Mohammad Ali (2024). DeepQSP: Identification of Quorum Sensing Peptides Through Neural Network Model. Results in Engineering, 24 102878, 102878. doi: 10.1016/j.rineng.2024.102878

DeepQSP: Identification of Quorum Sensing Peptides Through Neural Network Model

2024

Journal Article

Correction to: A computational approach to design a polyvalent vaccine against human respiratory syncytial virus (Scientific Reports, (2023), 13, 1, (9702), 10.1038/s41598-023-35309-y)

Moin, Abu Tayab, Ullah, Md. Asad, Patil, Rajesh B., Faruqui, Nairita Ahsan, Araf, Yusha, Das, Sowmen, Uddin, Khaza Md. Kapil, Hossain, Md. Shakhawat, Miah, Md. Faruque, Moni, Mohammad Ali, Chowdhury, Dil Umme Salma and Islam, Saiful (2024). Correction to: A computational approach to design a polyvalent vaccine against human respiratory syncytial virus (Scientific Reports, (2023), 13, 1, (9702), 10.1038/s41598-023-35309-y). Scientific Reports, 14 (1) 15721. doi: 10.1038/s41598-024-66721-7

Correction to: A computational approach to design a polyvalent vaccine against human respiratory syncytial virus (Scientific Reports, (2023), 13, 1, (9702), 10.1038/s41598-023-35309-y)

2024

Journal Article

PollenNet: A novel architecture for high precision pollen grain classification through deep learning and explainable AI

Shamrat, F M Javed Mehedi, Idna Idris, Mohd Yamani, Zhou, Xujuan, Khalid, Majdi, Sharmin, Sharmin, Sharmin, Zeseya, Ahmed, Kawsar and Moni, Mohammad Ali (2024). PollenNet: A novel architecture for high precision pollen grain classification through deep learning and explainable AI. Heliyon, 10 (19) e38596, e38596. doi: 10.1016/j.heliyon.2024.e38596

PollenNet: A novel architecture for high precision pollen grain classification through deep learning and explainable AI

2024

Journal Article

Advancing thyroid care: An accurate trustworthy diagnostics system with interpretable AI and hybrid machine learning techniques

Sutradhar, Ananda, Akter, Sharmin, Shamrat, F M Javed Mehedi, Ghosh, Pronab, Zhou, Xujuan, Idris, Mohd Yamani Idna Bin, Ahmed, Kawsar and Moni, Mohammad Ali (2024). Advancing thyroid care: An accurate trustworthy diagnostics system with interpretable AI and hybrid machine learning techniques. Heliyon, 10 (17) e36556, e36556. doi: 10.1016/j.heliyon.2024.e36556

Advancing thyroid care: An accurate trustworthy diagnostics system with interpretable AI and hybrid machine learning techniques

2024

Journal Article

Global, regional, and national burden of upper respiratory infections and otitis media, 1990–2021: a systematic analysis from the Global Burden of Disease Study 2021

Sirota, Sarah Brooke, Doxey, Matthew C, Dominguez, Regina-Mae Villanueva, Bender, Rose Grace, Vongpradith, Avina, Albertson, Samuel B, Novotney, Amanda, Burkart, Katrin, Carter, Austin, Abdi, Parsa, Abdoun, Meriem, Abebe, Ayele Mamo, Abegaz, Kedir Hussein, Aboagye, Richard Gyan, Abolhassani, Hassan, Abreu, Lucas Guimarães, Abualruz, Hasan, Abu-Gharbieh, Eman, Aburuz, Salahdein, Adane, Mesafint Molla, Addo, Isaac Yeboah, Adekanmbi, Victor, Adnani, Qorinah Estiningtyas Sakilah, Adzigbli, Leticia Akua, Afzal, Muhammad Sohail, Afzal, Saira, Ahinkorah, Bright Opoku, Ahmad, Sajjad, Ahmed, Ayman ... Kyu, Hmwe Hmwe (2024). Global, regional, and national burden of upper respiratory infections and otitis media, 1990–2021: a systematic analysis from the Global Burden of Disease Study 2021. The Lancet Infectious Diseases. doi: 10.1016/s1473-3099(24)00430-4

Global, regional, and national burden of upper respiratory infections and otitis media, 1990–2021: a systematic analysis from the Global Burden of Disease Study 2021

2024

Journal Article

MLAFP-XN: Leveraging neural network model for development of antifungal peptide identification tool

Sultan, Md. Fahim, Shaon, Md. Shazzad Hossain, Karim, Tasmin, Ali, Md. Mamun, Hasan, Md. Zahid, Ahmed, Kawsar, Bui, Francis M., Chen, Li, Dhasarathan, Vigneswaran and Moni, Mohammad Ali (2024). MLAFP-XN: Leveraging neural network model for development of antifungal peptide identification tool. Heliyon, 10 (18) e37820, e37820. doi: 10.1016/j.heliyon.2024.e37820

MLAFP-XN: Leveraging neural network model for development of antifungal peptide identification tool

2024

Journal Article

Trends and levels of the global, regional, and national burden of appendicitis between 1990 and 2021: findings from the Global Burden of Disease Study 2021

Han, Hannah, Letourneau, Ian D, Abate, Yohannes Habtegiorgis, Abdelmasseh, Michael, Abu-Gharbieh, Eman, Adane, Tigist Demssew, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmadi, Ali, Ahmed, Ayman, Alhalaiqa, Fadwa Naji, Al-Sabah, Salman Khalifah, Al-Worafi, Yaser Mohammed, Amu, Hubert, Andrei, Catalina Liliana, Anoushiravani, Amir, Arabloo, Jalal, Aravkin, Aleksandr Y, Ashraf, Tahira, Azadnajafabad, Sina, Baghcheghi, Nayereh, Bagherieh, Sara, Bantie, Berihun Bantie, Bardhan, Mainak, Basile, Guido, Bayleyegn, Nebiyou Simegnew, Behnoush, Amir Hossein, Bekele, Alehegn, Bhojaraja, Vijayalakshmi S ... Dirac, M Ashworth (2024). Trends and levels of the global, regional, and national burden of appendicitis between 1990 and 2021: findings from the Global Burden of Disease Study 2021. The Lancet Gastroenterology and Hepatology, 9 (9), 825-858. doi: 10.1016/S2468-1253(24)00157-2

Trends and levels of the global, regional, and national burden of appendicitis between 1990 and 2021: findings from the Global Burden of Disease Study 2021

2024

Journal Article

Global, regional, and national burden of gout, 1990–2020, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021

Cross, Marita, Ong, Kanyin Liane, Culbreth, Garland T, Steinmetz, Jaimie D, Cousin, Ewerton, Lenox, Hailey, Kopec, Jacek A, Haile, Lydia M, Brooks, Peter M, Kopansky-Giles, Deborah R, Dreinhoefer, Karsten E, Betteridge, Neil, Abbasian, Mohammadreza, Abbasifard, Mitra, Abedi, Aidin, Aboye, Melka Biratu, Aravkin, Aleksandr Y, Artaman, Al, Banach, Maciej, Bensenor, Isabela M, Bhagavathula, Akshaya Srikanth, Bhat, Ajay Nagesh, Bitaraf, Saeid, Buchbinder, Rachelle, Burkart, Katrin, Chu, Dinh-Toi, Chung, Sheng-Chia, Dadras, Omid, Dai, Xiaochen ... Woolf, Anthony D (2024). Global, regional, and national burden of gout, 1990–2020, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021. The Lancet Rheumatology, 6 (8), e507-e517. doi: 10.1016/S2665-9913(24)00117-6

Global, regional, and national burden of gout, 1990–2020, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021

2024

Journal Article

Global estimates on the number of people blind or visually impaired by age-related macular degeneration: a meta-analysis from 2000 to 2020

Furtado, João M., Jonas, Jost B., Tapply, Ian, Fernandes, Arthur G., Cicinelli, Maria Vittoria, Arrigo, Alessandro, Leveziel, Nicolas, Resnikoff, Serge, Taylor, Hugh R., Sedighi, Tabassom, Flaxman, Seth, Battaglia Parodi, Maurizio, Bikbov, Mukkharram M., Braithwaite, Tasanee, Bron, Alain, Cheng, Ching-Yu, Congdon, Nathan, Del Monte, Monte A., Ehrlich, Joshua R., Fricke, Tim, Friedman, David, Gazzard, Gus, Hartnett, M. Elizabeth, Kahloun, Rim, Kempen, John H., Khairallah, Moncef, Khanna, Rohit C., Kim, Judy E., Lansingh, Van Charles ... Bourne, Rupert R. A. (2024). Global estimates on the number of people blind or visually impaired by age-related macular degeneration: a meta-analysis from 2000 to 2020. Eye (Basingstoke), 38 (11), 2070-2082. doi: 10.1038/s41433-024-03050-z

Global estimates on the number of people blind or visually impaired by age-related macular degeneration: a meta-analysis from 2000 to 2020

2024

Journal Article

Publisher Correction: Global estimates on the number of people blind or visually impaired by cataract: a meta-analysis from 2000 to 2020 (Eye, (2024), 38, 11, (2156-2172), 10.1038/s41433-024-02961-1)

Bourne, Rupert R. A., Wang, Ningli, Wang, Ya Xing, Tsilimbaris, Mitiadis, Topouzis, Fotis, Ramulu, Pradeep, Peto, Tunde, Nowak, Michal, Nangia, Vinay, Little, Julie-Anne, Leasher, Janet, Khanna, Rohit C., Khairallah, Moncef, Kahloun, Rim, Jonas, Jost B., Hartnett, M. Elizabeth, George, Ronnie, Gazzard, Gus, Furtado, João M., Friedman, David, Ellwein, Leon B., Ehrlich, Joshua R., Del Monte, Monte A., Cheng, Ching-Yu, Bron, Alain, Braithwaite, Tasanee, Bikbov, Mukkharram M., Flaxman, Seth, Sedighi, Tabassom ... Pesudovs, Konrad (2024). Publisher Correction: Global estimates on the number of people blind or visually impaired by cataract: a meta-analysis from 2000 to 2020 (Eye, (2024), 38, 11, (2156-2172), 10.1038/s41433-024-02961-1). Eye (Basingstoke), 38 (11), 2229-2231. doi: 10.1038/s41433-024-03161-7

Publisher Correction: Global estimates on the number of people blind or visually impaired by cataract: a meta-analysis from 2000 to 2020 (Eye, (2024), 38, 11, (2156-2172), 10.1038/s41433-024-02961-1)

2024

Journal Article

Exploring gene regulatory interaction networks and predicting therapeutic molecules for hypopharyngeal cancer and <scp>EGFR</scp>‐mutated lung adenocarcinoma

Bhattacharjya, Abanti, Islam, Md Manowarul, Uddin, Md Ashraf, Talukder, Md Alamin, Azad, AKM, Aryal, Sunil, Paul, Bikash Kumar, Tasnim, Wahia, Almoyad, Muhammad Ali Abdulllah and Moni, Mohammad Ali (2024). Exploring gene regulatory interaction networks and predicting therapeutic molecules for hypopharyngeal cancer and EGFR‐mutated lung adenocarcinoma. FEBS Open Bio, 14 (7), 1166-1191. doi: 10.1002/2211-5463.13807

Exploring gene regulatory interaction networks and predicting therapeutic molecules for hypopharyngeal cancer and <scp>EGFR</scp>‐mutated lung adenocarcinoma

2024

Journal Article

Burden of disease scenarios for 204 countries and territories, 2022-2050: a forecasting analysis for the Global Burden of Disease Study 2021

Vollset, Stein Emil, Ababneh, Hazim S., Abate, Yohannes Habtegiorgis, Abbafati, Cristiana, Abbasgholizadeh, Rouzbeh, Abbasian, Mohammadreza, Abbastabar, Hedayat, Abd Al Magied, Abdallah H. A., Abd ElHafeez, Samar, Abdelkader, Atef, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdi, Parsa, Abdollahi, Mohammad, Abdoun, Meriem, Abdullahi, Auwal, Abebe, Mesfin, Abiodun, Olumide, Aboagye, Richard Gyan, Abolhassani, Hassan, Abouzid, Mohamed, Aboye, Girma Beressa, Abreu, Lucas Guimaraes, Absalan, Abdorrahim, Abualruz, Hasan, Abubakar, Bilyaminu, Abukhadijah, Hana Jihad Jihad, Addolorato, Giovanni, Adekanmbi, Victor ... Murray, Christopher J. L. (2024). Burden of disease scenarios for 204 countries and territories, 2022-2050: a forecasting analysis for the Global Burden of Disease Study 2021. Lancet, 403 (10440), 2204-2256.

Burden of disease scenarios for 204 countries and territories, 2022-2050: a forecasting analysis for the Global Burden of Disease Study 2021

2024

Journal Article

Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021

GBD 2021 Risk Factors Collaborators, Mamun, Abdullah A., Anderlini, Deanna, Chung, Eric, Ferrari, Alize J., Santomauro, Damian Francesco, Kanmiki, Edmund Wedam, Maravilla, Joemer C., Khan, Asaduzzaman, Moni, Mohammad Ali, McGrath, John J. and Sartorius, Benn (2024). Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet, 403 (10440), 2162-2203. doi: 10.1016/S0140-6736(24)00933-4

Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021

2024

Journal Article

Burden of disease scenarios for 204 countries and territories, 2022-2050: a forecasting analysis for the Global Burden of Disease Study 2021

GBD 2021 Forecasting Collaborators, Kanmiki, Edmund Wedam, Anderlini, Deanna, Chung, Eric, Maravilla, Joemer C., Lalloo, Ratilal, McGrath, John J., Moni, Mohammad Ali and Sartorius, Benn (2024). Burden of disease scenarios for 204 countries and territories, 2022-2050: a forecasting analysis for the Global Burden of Disease Study 2021. The Lancet, 403 (10440), 2204-2256. doi: 10.1016/S0140-6736(24)00685-8

Burden of disease scenarios for 204 countries and territories, 2022-2050: a forecasting analysis for the Global Burden of Disease Study 2021

2024

Journal Article

Machine learning and deep learning algorithms in detecting COVID-19 utilizing medical images: a comprehensive review

Nurjahan, , Mahbub-Or-Rashid, Md., Satu, Md. Shahriare, Tammim, Sanjana Ruhani, Sunny, Farhana Akter and Moni, Mohammad Ali (2024). Machine learning and deep learning algorithms in detecting COVID-19 utilizing medical images: a comprehensive review. Iran Journal of Computer Science, 7 (3), 1-23. doi: 10.1007/s42044-024-00190-z

Machine learning and deep learning algorithms in detecting COVID-19 utilizing medical images: a comprehensive review

2024

Journal Article

The relationship between hair cortisol concentration and autism diagnosis

Lin, Ping-I, John, James Rufus, Masi, Anne, Ong, Lin Kooi, Mathew, Nisha E., Moni, Mohammed Ali, Eapen, Valsamma and Walker, Adam K. (2024). The relationship between hair cortisol concentration and autism diagnosis. Journal of Psychiatric Research, 176, 68-76. doi: 10.1016/j.jpsychires.2024.05.052

The relationship between hair cortisol concentration and autism diagnosis

2024

Journal Article

An effective screening of COVID‐19 pneumonia by employing chest X‐ray segmentation and attention‐based ensembled classification

Sayeed, Abu, Khansur, Nasif Osman, Srizon, Azmain Yakin, Faruk, Md. Farukuzzaman, Alyami, Salem A., Azad, AKM and Moni, Mohammad Ali (2024). An effective screening of COVID‐19 pneumonia by employing chest X‐ray segmentation and attention‐based ensembled classification. IET Image Processing, 18 (9), 2400-2416. doi: 10.1049/ipr2.13106

An effective screening of COVID‐19 pneumonia by employing chest X‐ray segmentation and attention‐based ensembled classification

2024

Journal Article

Single-cell RNA-seq data analysis reveals functionally relevant biomarkers of early brain development and their regulatory footprints in human embryonic stem cells (hESCs)

Alamin, Md, Humaira Sultana, Most, Babarinde, Isaac Adeyemi, Azad, A K M, Moni, Mohammad Ali and Xu, Haiming (2024). Single-cell RNA-seq data analysis reveals functionally relevant biomarkers of early brain development and their regulatory footprints in human embryonic stem cells (hESCs). Briefings in Bioinformatics, 25 (3) bbae230. doi: 10.1093/bib/bbae230

Single-cell RNA-seq data analysis reveals functionally relevant biomarkers of early brain development and their regulatory footprints in human embryonic stem cells (hESCs)

2024

Journal Article

Global fertility in 204 countries and territories, 1950-2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

GBD 2021 Fertility and Forecasting Collaborators, Anderlini, D., Begum, T., Chung, E., Huda, M., Kanmiki, E., Maravilla, J. C., Khan, A., Moni, M., Lalloo, R., McGrath, J. J. and Mamun, Abdullah (2024). Global fertility in 204 countries and territories, 1950-2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021. The Lancet, 403 (10440), 2057-2099. doi: 10.1016/S0140-6736(24)00550-6

Global fertility in 204 countries and territories, 1950-2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021