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2024 Journal Article Burden of disease scenarios by state in the USA, 2022–50: a forecasting analysis for the Global Burden of Disease Study 2021Mokdad, Ali H, Bisignano, Catherine, Hsu, Johnathan M, Bryazka, Dana, Cao, Shujin, Bhattacharjee, Natalia V, Dalton, Bronte E, Lindstedt, Paulina A, Smith, Amanda E, Ababneh, Hazim S, Abbasgholizadeh, Rouzbeh, Abdelkader, Atef, Abdi, Parsa, Abiodun, Olugbenga Olusola, Aboagye, Richard Gyan, Abukhadijah, Hana J, Abu-Zaid, Ahmed, Acuna, Juan Manuel, Addo, Isaac Yeboah, Adekanmbi, Victor, Adeyeoluwa, Temitayo Esther, Adzigbli, Leticia Akua, Afolabi, Aanuoluwapo Adeyimika, Afrashteh, Fatemeh, Agyemang-Duah, Williams, Ahmad, Shahzaib, Ahmadzade, Mohadese, Ahmed, Ali, Ahmed, Ayman ... Murray, Christopher J L (2024). Burden of disease scenarios by state in the USA, 2022–50: a forecasting analysis for the Global Burden of Disease Study 2021. The Lancet, 404 (10469), 2341-2370. doi: 10.1016/S0140-6736(24)02246-3 |
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2024 Journal Article DeepQSP: Identification of Quorum Sensing Peptides Through Neural Network ModelAshikur 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 |
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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 |
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2024 Journal Article Global, regional, and national burden of HIV/AIDS, 1990–2021, and forecasts to 2050, for 204 countries and territories: the Global Burden of Disease Study 2021Carter, Austin, Zhang, Meixin, Tram, Khai Hoan, Walters, Magdalene K, Jahagirdar, Deepa, Brewer, Edmond D, Novotney, Amanda, Lasher, Dylan, Mpolya, Emmanuel A, Vongpradith, Avina, Ma, Jianing, Verma, Megan, Frank, Tahvi D, He, Jiawei, Byrne, Sam, Lin, Christine, Dominguez, Regina-Mae Villanueva, Pease, Spencer A, Comfort, Haley, May, Erin A, Abate, Yohannes Habtegiorgis, Abbastabar, Hedayat, Abdelkader, Atef, Abdi, Parsa, Abdoun, Meriem, Abdul Aziz, Jeza Muhamad, Abidi, Hassan, Abiodun, Olumide, Aboagye, Richard Gyan ... Kyu, Hmwe (2024). Global, regional, and national burden of HIV/AIDS, 1990–2021, and forecasts to 2050, for 204 countries and territories: the Global Burden of Disease Study 2021. The Lancet HIV, 11 (12), e807-e822. doi: 10.1016/s2352-3018(24)00212-1 |
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2024 Journal Article The global, regional, and national burden of urolithiasis in 204 countries and territories, 2000–2021: a systematic analysis for the Global Burden of Disease Study 2021Awedew, Atalel Fentahun, Han, Hannah, Berice, Bétyna N., Dodge, Maxwell, Schneider, Rachel D., Abbasi-Kangevari, Mohsen, Al-Aly, Ziyad, Almidani, Omar, Alvand, Saba, Arabloo, Jalal, Aravkin, Aleksandr Y., Ayana, Tegegn Mulatu, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhaskar, Sonu, Bikbov, Boris, Caetano dos Santos, Florentino Luciano, Charan, Jaykaran, Cruz-Martins, Natalia, Dadras, Omid, Dai, Xiaochen, Digesa, Lankamo Ena, Elhadi, Muhammed, Elmonem, Mohamed A., Esezobor, Christopher Imokhuede, Fatehizadeh, Ali, Gebremeskel, Teferi Gebru, Getachew, Motuma Erena, Ghamari, Seyyed-Hadi ... Dirac, M. Ashworth (2024). The global, regional, and national burden of urolithiasis in 204 countries and territories, 2000–2021: a systematic analysis for the Global Burden of Disease Study 2021. eClinicalMedicine, 78 102924, 102924. doi: 10.1016/j.eclinm.2024.102924 |
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2024 Journal Article Prediction of white blood cell count during exercise: a comparison between standalone and hybrid intelligent algorithmsAsadi, 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 |
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2024 Journal Article A Novel Mixed Convolution Transformer Model for the Fast and Accurate Diagnosis of Glioma SubtypesNobel, S. M. Nuruzzaman, Swapno, S. M. Masfequier Rahman, Islam, Md Babul, Azad, AKM, Alyami, Salem A., Alamin, Md, Liò, Pietro and Moni, Mohammad Ali (2024). A Novel Mixed Convolution Transformer Model for the Fast and Accurate Diagnosis of Glioma Subtypes. Advanced Intelligent Systems. doi: 10.1002/aisy.202400566 |
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2024 Journal Article LandSin: A differential ML and google API-enabled web server for real-time land insights and beyondSabari, Alauddin, Hasan, Imran, Alyami, Salem A., Liò, Pietro, Ali, Md. Sadek, Moni, Mohammad Ali and Azad, AKM (2024). LandSin: A differential ML and google API-enabled web server for real-time land insights and beyond. Software Impacts, 22 100718, 100718. doi: 10.1016/j.simpa.2024.100718 |
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2024 Journal Article A robust deep learning approach for identification of RNA 5-methyluridine sitesShaon, Md. Shazzad Hossain, Karim, Tasmin, Ali, Md. Mamun, Ahmed, Kawsar, Bui, Francis M., Chen, Li and Moni, Mohammad Ali (2024). A robust deep learning approach for identification of RNA 5-methyluridine sites. Scientific Reports, 14 (1) 25688, 1-13. doi: 10.1038/s41598-024-76148-9 |
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2024 Journal Article Identification of Biomarkers and Molecular Pathways Implicated in Smoking and COVID-19 Associated Lung Cancer Using Bioinformatics and Machine Learning ApproachesHossain, Md Ali, Rahman, Mohammad Zahidur, Bhuiyan, Touhid and Moni, Mohammad Ali (2024). Identification of Biomarkers and Molecular Pathways Implicated in Smoking and COVID-19 Associated Lung Cancer Using Bioinformatics and Machine Learning Approaches. International Journal of Environmental Research and Public Health, 21 (11) 1392, 1392. doi: 10.3390/ijerph21111392 |
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2024 Journal Article PollenNet: A novel architecture for high precision pollen grain classification through deep learning and explainable AIShamrat, 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 |
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2024 Journal Article Multi-View Soft Attention-Based Model for the Classification of Lung Cancer-Associated DisabilitiesEsha, Jannatul Ferdous, Islam, Tahmidul, Pranto, Md. Appel Mahmud, Borno, Abrar Siam, Faruqui, Nuruzzaman, Yousuf, Mohammad Abu, Azad, AKM, Al-Moisheer, Asmaa Soliman, Alotaibi, Naif, Alyami, Salem A. and Moni, Mohammad Ali (2024). Multi-View Soft Attention-Based Model for the Classification of Lung Cancer-Associated Disabilities. Diagnostics, 14 (20) 2282, 2282. doi: 10.3390/diagnostics14202282 |
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2024 Journal Article An improved K-means clustering algorithm towards an efficient data-driven modelingZubair, Md., Iqbal, Md. Asif, Shil, Avijeet, Chowdhury, M. J.M., Moni, Mohammad Ali and Sarker, Iqbal H. (2024). An improved K-means clustering algorithm towards an efficient data-driven modeling. Annals of Data Science, 11 (5), 1525-1544. doi: 10.1007/s40745-022-00428-2 |
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2024 Journal Article Advancing thyroid care: An accurate trustworthy diagnostics system with interpretable AI and hybrid machine learning techniquesSutradhar, 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 |
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2024 Journal Article MLAFP-XN: Leveraging neural network model for development of antifungal peptide identification toolSultan, 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 |
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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 2021Han, 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 |
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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 2021Sirota, 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, 25 (1), 36-51. doi: 10.1016/s1473-3099(24)00430-4 |
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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 |
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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 2021Cross, 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 |
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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 2020Furtado, 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 |
