Artificial intelligence and machine learning-aided drug discovery in central nervous system diseases: State-of-the-arts and future directions

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Evaluating the Impact of AI-Based Model-Informed Drug Development (MIDD): A Comparative Review

Mao, B., Gao, Y., Xu, C. R., Macha, S., Shuai, S. H. A. O., & Ahamadi, M. (2025) · The AAPS Journal · doi:10.1208/s12248-025-01075-0 · Cited by 9

Federated Learning and 5G/6G‐Based Internet of Medical Things (IoMT): Applications, Key Enabling Technologies, Open Issues and Future Research Directions

Ahad, A., Ahmed, K. I., Ullah, F., Sheikh, M. A., Tahir, M., Hayajneh, M., & Pires, I. M. (2026) · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · doi:10.1002/widm.70065 · Cited by 9

Stimuli-responsive nanoplatforms for central nervous system disorders: integrating delivery, modulation, and imaging

Chen, Y., Ding, Y., Lin, H., & Shi, J. (2026) · Chemical Society Reviews · doi:10.1039/d5cs01323b · Cited by 9

A novel deep learning-assisted hybrid network for plasmodium falciparum parasite mitochondrial proteins classification

Alsanousi, W. A., Ahmed, N. Y., Hamid, E. M., Elbashir, M. K., Musa, M. E. M., Wang, J., Khan, N., & Afnan, A. (2022) · PLoS ONE · doi:10.1371/journal.pone.0275195 · Cited by 8

Harnessing deep learning into hidden mutations of neurological disorders for therapeutic challenges

Yang, S., Kim, S.-H., Kang, M., & Joo, J. (2023) · Archives of Pharmacal Research · doi:10.1007/s12272-023-01450-5 · Cited by 8

Bibliometric research on the developments of artificial intelligence in radiomics toward nervous system diseases

Cui, J., Miao, X., Yanghao, X., & Qin, X. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1171167 · Cited by 8

Preclinical translational platform of neuroinflammatory disease biology relevant to neurodegenerative disease

Larson, K. C., Martens, L. H., Marconi, M., Dejesus, C., Bruhn, S., Miller, T. A., Tate, B. A., & Levenson, J. M. (2024) · Journal of Neuroinflammation · doi:10.1186/s12974-024-03029-3 · Cited by 9

Precision Psychiatry: Machine Learning as a Tool to Find New Pharmacological Targets

Rema, J., Novais, F., & Telles‐Correia, D. (2021) · Current Topics in Medicinal Chemistry · doi:10.2174/1568026621666211004095917 · Cited by 8

Precision medicine in public health in India: Nascent but poised in the right direction

Yadav, A. K., & Sagar, R. (2021) · Indian Journal of Public Health · doi:10.4103/ijph.ijph_1728_21 · Cited by 8

In-depth Analysis of Artificial Intelligence for Climate Change MitigationPreprint

Lu, L. (2024) · Preprints.org · doi:10.20944/preprints202402.0022.v1 · Cited by 7

A Review of Drug-related Associations Prediction Based on Artificial Intelligence Methods

Ma, M., Lei, X., & Zhang, Y. (2023) · Current Bioinformatics · doi:10.2174/1574893618666230707123817 · Cited by 7

A synergistic fusion of shallow and deep generative model to enhance machine learning efficacy and classification performance in data-scarce environments

Bhat, K. A., & Sofi, S. A. (2024) · International Journal of Information Technology · doi:10.1007/s41870-024-02120-5 · Cited by 7

Systems Thinking on Artificial Intelligence Integration into Higher Education: Causal Loops

Liew, Y. Z., Tan, A. H. P., Yap, E. H., Lim, C. S., Majeed, A. P. P. A., Zhu, Y., Chen, W., Chen, S.-H., & Lo, J. Y. T. (2024) · IntechOpen eBooks · doi:10.5772/intechopen.1008246 · Cited by 12

A comprehensive review of neurotransmitter modulation via artificial intelligence: A new frontier in personalized neurobiochemistry

Olia, J. B. H., Raman, A., Hsu, C., Alkhayyat, A., & Nourazarian, A. (2025) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2025.109984 · Cited by 9

The Integration of Nanotechnology, Artificial Intelligence (AI), Machine Learning (ML) and 3D-Bioprinting Approaches for Personalized COVID-19 Treatment

Uddin, M. J., Gholap, A. D., Khan, T., Proma, A. Y., Masud, S., Choonara, Y. E., Gowri, S. S., Webster, T. J., & Faiyazuddin, M. (2024) · Journal of Biomedical Nanotechnology · doi:10.1166/jbn.2024.3933 · Cited by 8

In silico analysis of soybean-derived umami peptides: Discovery and interaction mechanisms with T1R1/T1R3 receptor

Shen, X., Zhang, H., Zhang, P., Niu, X., Zhao, X., Zhu, L., Zhu, J., & Wang, S. (2025) · Food Chemistry X · doi:10.1016/j.fochx.2025.102544 · Cited by 7

Application of Computational Intelligence Through the Lens of CNS Drug Discovery: A Study of AI-Driven Predictive Models

Adhikary, S., Sasmal, D., Mukherjee, G., Banerjee, K., & Mallik, B. B. (2025) · Apple Academic Press eBooks · doi:10.1201/9781998511013-15

Advancement of Artificial Intelligence and Machine Learning in Drug Discovery for the Central Nervous System Diseases

Malviya, R., Sharma, R., Sridhar, S. B., & Kumar, S. (2026) · Apple Academic Press eBooks · doi:10.1201/9781779640819-9

Artificial intelligence and machine-learning approaches in structure and ligand-based discovery of drugs affecting central nervous system

Gautam, V., Gaurav, A., Masand, N., Lee, V. S., & Patil, V. M. (2022) · Molecular Diversity · doi:10.1007/s11030-022-10489-3 · Cited by 40

Recent trends in artificial intelligence-driven identification and development of anti-neurodegenerative therapeutic agents

Kashyap, K., & Siddiqi, M. I. (2021) · Molecular Diversity · doi:10.1007/s11030-021-10274-8 · Cited by 24

Applications of artificial intelligence in drug discovery for neurological diseases

Ekins, S., & Lane, T. R. (2025) · Neurotherapeutics · doi:10.1016/j.neurot.2025.e00624 · Cited by 12