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2025

Journal Article

Multimodal marvels of deep learning in medical diagnosis using image, speech, and text: a comprehensive review of COVID-19 detection

Islam, Md Shofiqul, Hasan, Khondokar Fida, Shajeeb, Hasibul Hossain, Rana, Humayan Kabir, Rahman, Md. Saifur, Hasan, Md. Munirul, Azad, AKM, Abdullah, Ibrahim and Moni, Mohammad Ali (2025). Multimodal marvels of deep learning in medical diagnosis using image, speech, and text: a comprehensive review of COVID-19 detection. AI Open, 6, 12-44. doi: 10.1016/j.aiopen.2025.01.003

Multimodal marvels of deep learning in medical diagnosis using image, speech, and text: a comprehensive review of COVID-19 detection

2025

Journal Article

Global, regional and national burden of dietary iron deficiency from 1990 to 2021: a Global Burden of Disease study

Lee, Sooji, Son, Yejun, Hwang, Jiyoung, Kim, Min Seo, McLaughlin, Susan A., Vilchis-Tella, Victor, Zoeckler, Leo, Perumal, Nandita, Zyoud, Sa’ed H., Zoghi, Ghazal, Zia, Hafsa, Zhumagaliuly, Abzal, Zhong, Claire Chenwen, Zhang, Liqun, Zhang, Haijun, Zeru, Naod Gebrekrstos, Zeariya, Mohammed G. M., Zare, Iman, Zamora, Nelson, Zaman, Burhan Abdullah, Yu, Chuanhua, Yonemoto, Naohiro, Yin, Dehui, Yigezu, Muluken, Yesuf, Subah Abderehim, Yaya, Sanni, Yarahmadi, Amir, Yadav, Vikas, Xu, Xiaoyue ... Kassebaum, Nicholas. J. (2025). Global, regional and national burden of dietary iron deficiency from 1990 to 2021: a Global Burden of Disease study. Nature Medicine, 31 (6), 1809-1829. doi: 10.1038/s41591-025-03624-8

Global, regional and national burden of dietary iron deficiency from 1990 to 2021: a Global Burden of Disease study

2025

Journal Article

Understanding Neurocognition with Deep Learning and MRI: A Systematic Review

Rahman, Md. Tanvir, Orka, Nabil Anan, Khan, Asaduzzaman, Liò, Pietro and Moni, Mohammad Ali (2025). Understanding Neurocognition with Deep Learning and MRI: A Systematic Review. IEEE Transactions on Cognitive and Developmental Systems, PP (99), 1-17. doi: 10.1109/tcds.2025.3635161

Understanding Neurocognition with Deep Learning and MRI: A Systematic Review

2025

Journal Article

Deep3BPP: identification of blood-brain barrier penetrating peptides using word embedding feature extraction method and CNN-LSTM

Rahman, Md. Ashikur, Ali, Md Mamun, Ahmed, Kawsar, Mahmud, Imran, Bui, Francis M., Chen, Li and Moni, Mohammad Ali (2025). Deep3BPP: identification of blood-brain barrier penetrating peptides using word embedding feature extraction method and CNN-LSTM. IEEE Transactions on Artificial Intelligence 0b00006493f23b14. doi: 10.1109/tai.2025.3567434

Deep3BPP: identification of blood-brain barrier penetrating peptides using word embedding feature extraction method and CNN-LSTM

2025

Conference Publication

IoT-Enabled Health Assistance for Post-disaster Scenarios

Hossain, Soikat, Sarkar, Ratna R., Yousuf, Mohammad Abu and Moni, Mohammad Ali (2025). IoT-Enabled Health Assistance for Post-disaster Scenarios. Trends in Electronics and Health Informatics TEHI 2023, Dhaka, Bangladesh, 26–27 December 2023. Singapore: Springer. doi: 10.1007/978-981-97-3937-0_44

IoT-Enabled Health Assistance for Post-disaster Scenarios

2025

Book Chapter

A Multi-BranchCNN-LSTM Based Human Activity Recognition Using Wearable and Smartphone Sensors

Khatun, Mst. Alema, Yousuf, Mohammad Abu and Moni, Mohammad Ali (2025). A Multi-BranchCNN-LSTM Based Human Activity Recognition Using Wearable and Smartphone Sensors. Intelligent Networks and Systems: Advanced Technologies and Applications. (pp. 27-39) CRC Press. doi: 10.1201/9781032659770-3

A Multi-BranchCNN-LSTM Based Human Activity Recognition Using Wearable and Smartphone Sensors

2025

Book

Graphene in wearable sensors for health monitoring

Debnath, Sourabhi, Debnath, Tanmoy, Moni, Mohammad Ali and Paul, Manoranjan (2025). Graphene in wearable sensors for health monitoring. Singapore: Springer. doi: 10.1007/978-981-96-8850-0

Graphene in wearable sensors for health monitoring

2024

Journal Article

Burden of disease scenarios by state in the USA, 2022-50: a forecasting analysis for the Global Burden of Disease Study 2021

Mokdad, 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. Lancet, 404 (10469), 2341-2370.

Burden of disease scenarios by state in the USA, 2022-50: a forecasting analysis for the Global Burden of Disease Study 2021

2024

Journal Article

The burden of diseases, injuries, and risk factors by state in the USA, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Mokdad, Ali H, Bisignano, Catherine, Hsu, Johnathan M, Aldridge, Robert W, Aravkin, Aleksandr Y, Brauer, Michael, Bryazka, Dana, Cagney, Jack, Cogen, Rebecca M, Culbreth, Garland T, Dai, Xiaochen, Daoud, Farah, Degenhardt, Louisa, Dwyer-Lindgren, Laura, Feigin, Valery L, Flor, Luisa S, Fu, Weijia, Gardner, William M, Haakenstad, Annie, Haile, Demewoz, Hamilton, Erin B, Hay, Simon I, Ikuta, Kevin S, Kassebaum, Nicholas J, Lim, Stephen S, Mestrovic, Tomislav, Moberg, Madeline E, Mougin, Vincent, Naghavi, Mohsen ... Zyoud, Sa'ed H (2024). The burden of diseases, injuries, and risk factors by state in the USA, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet, 404 (10469), 2314-2340. doi: 10.1016/S0140-6736(24)01446-6

The burden of diseases, injuries, and risk factors by state in the USA, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

2024

Journal Article

Burden of disease scenarios by state in the USA, 2022-50: a forecasting analysis for the Global Burden of Disease Study 2021

Mokdad, 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. Lancet, 404 (10469), 2341-2370. doi: 10.1016/S0140-6736(24)02246-3

Burden of disease scenarios by state in the USA, 2022-50: a forecasting analysis for the Global Burden of Disease Study 2021

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

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

An integrated framework to identify prognostic biomarkers and novel therapeutic targets in hepatocellular carcinoma-based disabilities

Rahman, Md. Okibur, Das, Asim, Naeem, Nazratun, Jabeen-E-Tahnim,, Hossain, Md. Ali, Alam, Md. Nur, Azad, A. K. M., Alyami, Salem A., Alotaibi, Naif, Al-Moisheer, A. S. and Moni, Mohammod Ali (2024). An integrated framework to identify prognostic biomarkers and novel therapeutic targets in hepatocellular carcinoma-based disabilities. Biology, 13 (12) 966, 966. doi: 10.3390/biology13120966

An integrated framework to identify prognostic biomarkers and novel therapeutic targets in hepatocellular carcinoma-based disabilities

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, 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

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

Carter, 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 ... GBD 2021 HIV Collaborators (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

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

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 2021

Awedew, 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 ... GBD 2021 Urolithiasis Collaborators (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, 1-29. doi: 10.1016/j.eclinm.2024.102924

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

2024

Journal Article

A novel mixed convolution transformer model for the fast and accurate diagnosis of glioma subtypes

Nobel, 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, 7 (5) 2400566. doi: 10.1002/aisy.202400566

A novel mixed convolution transformer model for the fast and accurate diagnosis of glioma subtypes

2024

Conference Publication

Real-Time Human Activity Recognition Using Non-intrusive Sensing and Continual Learning

Rahman, Md Geaur, ur Rehman, Sabih, Fealy, Shanna, Vallejo, Johan Sebastian Ramirez, Fuskelay, Aayush and Moni, Mohammad Ali (2024). Real-Time Human Activity Recognition Using Non-intrusive Sensing and Continual Learning. 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC Australia, 25–29 November 2024. Singapore: Springer. doi: 10.1007/978-981-96-0351-0_30

Real-Time Human Activity Recognition Using Non-intrusive Sensing and Continual Learning

2024

Journal Article

LandSin: a differential ML and google API-enabled web server for real-time land insights and beyond

Sabari, 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, 1-6. doi: 10.1016/j.simpa.2024.100718

LandSin: a differential ML and google API-enabled web server for real-time land insights and beyond

2024

Journal Article

Identification of biomarkers and molecular pathways implicated in smoking and COVID-19 associated lung cancer using bioinformatics and machine learning approaches

Hossain, 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

Identification of biomarkers and molecular pathways implicated in smoking and COVID-19 associated lung cancer using bioinformatics and machine learning approaches