Artificial intelligence in drug development: present status and future prospects

Artificial intelligence in healthcare: past, present and future

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Can the pharmaceutical industry reduce attrition rates?

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Principles of early drug discovery

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Artificial intelligence in medicine

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Diagnosing the decline in pharmaceutical R&D efficiency

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Planning chemical syntheses with deep neural networks and symbolic AI

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The rise of deep learning in drug discovery

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Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks

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Deep Learning in Medical Imaging: General Overview

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Organs-on-chips at the frontiers of drug discovery

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Balancing Technological Advances with User Needs: User-centered Principles for AI-Driven Smart City Healthcare Monitoring

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Artificial intelligence in clinical pharmacology: A case study and scoping review of large language models and bioweapon potential

Rubinić, I., Kurtov, M., Rubinić, I., Likić, R., Dargan, P. I., & Wood, D. M. (2023) · British Journal of Clinical Pharmacology · doi:10.1111/bcp.15899 · Cited by 19

Advancing diabetes treatment: the role of mesenchymal stem cells in islet transplantation

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Establishing trust in artificial intelligence-driven autonomous healthcare systems: an expert-guided framework

Alelyani, T. (2024) · Frontiers in Digital Health · doi:10.3389/fdgth.2024.1474692 · Cited by 16

Pharmacy Informatics: Where Medication Use and Technology Meet

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Current status of clinical research using artificial intelligence techniques

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AI-Based Drug Discovery of TKIs Targeting L858R/T790M/C797S-Mutant EGFR in Non-small Cell Lung Cancer

Choi, G., Kim, D., & Oh, J. (2021) · Frontiers in Pharmacology · doi:10.3389/fphar.2021.660313 · Cited by 18

The rise of deep learning and transformations in bioactivity prediction power of molecular modeling tools

Bule, M. H., Jalalimanesh, N., Bayrami, Z., Baeeri, M., & Abdollahi, M. R. (2021) · Chemical Biology & Drug Design · doi:10.1111/cbdd.13750 · Cited by 17

Exploring Artificial Intelligence in Drug Discovery: A Comprehensive Review

Bijral, R. K., Singh, I., Manhas, J., & Sharma, V. (2021) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-021-09661-z · Cited by 19

The Incipient Role of Computational Intelligence in Oncology: Drug Designing, Discovery, and Development

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Machine Learning Models to Predict Protein–Protein Interaction Inhibitors

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The pharmacist's guide to the future: Are we there yet?

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Biotechnology-based therapeutics

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Exploring new horizons: Empowering computer-assisted drug design with few-shot learning

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Drug Repurposing: Insights into Current Advances and Future Applications

Bhatia, T., & Sharma, S. (2023) · Current Medicinal Chemistry · doi:10.2174/0109298673266470231023110841 · Cited by 16

Application of artificial intelligence in the diagnosis, treatment, and recurrence prediction of peritoneal carcinomatosis

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Artificial intelligence in drug development: clinical pharmacologist perspective

Jang, I. (2019) · Translational and Clinical Pharmacology · doi:10.12793/tcp.2019.27.3.87 · Cited by 18

An overview of artificial intelligence and big data analytics for smart healthcare: requirements, applications, and challenges

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Role of data science in managing COVID-19 pandemic

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Artificial Intelligence in Drug Discovery: Integrative Advances From Data to Therapeutic Innovation

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Bayesian Inference-Based Gaussian Mixture Models With Optimal Components Estimation Towards Large-Scale Synthetic Data Generation for In Silico Clinical Trials

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Application of Artificial Intelligence in the Diagnosis, Treatment, and Prognostic Evaluation of Mediastinal Malignant Tumors

Pang, J., Xiu, W., & Ma, X. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12082818 · Cited by 15

Digital by design approach to develop a universal deep learning AI architecture for automatic chromatographic peak integration

Satwekar, A., Panda, A., Nandula, P., Sripada, S., Govindaraj, R., & Rossi, M. (2023) · Biotechnology and Bioengineering · doi:10.1002/bit.28406 · Cited by 14

Trends and Technology Development in Life Science

Dr. Sheeba, E. (2023) · doi:10.22192/ttdls.2023 · Cited by 14

Immunotherapy: breakthrough in Cancer Treatment

Gopalakrishnan, R., & Thamaraiselvi, B. (2023) · doi:10.22192/ttdls.2023.010 · Cited by 14

Genetically Modified Organisms (GMOs): Balancing Benefits and Ethical Considerations

Deepa, V. H., & Pushp, P. (2023) · doi:10.22192/ttdls.2023.011 · Cited by 14

Integrating clinical pharmacology and artificial intelligence: potential benefits, challenges, and role of clinical pharmacologists

Singh, H., Nim, D. K., Randhawa, A. S., & Ahluwalia, S. (2024) · Expert Review of Clinical Pharmacology · doi:10.1080/17512433.2024.2317963 · Cited by 16

Analysing factors influencing undergraduates’ adoption of intelligent physical education systems using an expanded TAM

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Machine learning & deep learning tools in pharmaceutical sciences: A comprehensive review

Javid, S., Rahmanulla, A., Ahmed, M. G., Sultana, R., & Kumar, B. R. P. (2025) · Intelligent Pharmacy · doi:10.1016/j.ipha.2024.11.003 · Cited by 18

Accelerating Life Sciences Research with Blockchain

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Biosimilars: A Comparative Study of Regulatory, Safety and Pharmacovigilance Monograph in the Developed and Developing Economies

Iqbal, Z., & Sadaf, S. (2022) · Journal of Pharmacy & Pharmaceutical Sciences · doi:10.18433/jpps32433 · Cited by 14

Prospective Role of ChatGPT in Pharmacy: According to ChatGPTPreprint

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Leveraging Artificial Intelligence for Advancements in Liquid Dosage Formulations in the Pharmaceutical Industry

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Leveraging artificial intelligence and machine learning for unraveling pathogenesis and advancing precision medicine in autoimmune diseases

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Emerging technologies and innovative approaches to combat antimicrobial resistance: A narrative review of next-generation therapeutic strategies

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Artificial Intelligence: Comprehensive Overview and its Pharma Application

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Revolutionizing the Pharmaceutical Industry with Artificial Intelligence

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Artificial Intelligence in the Paradigm Shift of Pharmaceutical Sciences: A Review

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Leveraging Artificial Intelligence for Synergies in Drug Discovery: From Computers to Clinics

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Artificial intelligence and patient care: Perspectives of audiologists and speech-language pathologists

Aggarwal, K., Ravi, R., & Yerraguntla, K. (2025) · Intelligence-Based Medicine · doi:10.1016/j.ibmed.2025.100214 · Cited by 15

The published role of artificial intelligence in drug discovery and development: a bibliometric and social network analysis from 1990 to 2023

Koçak, M., & Akçalı, Z. (2025) · Journal of Cheminformatics · doi:10.1186/s13321-025-00988-4 · Cited by 21

Precision Agriculture

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Human-AI Collaboration in Pharmaceutical Strategy Formulation: Evaluating the Role of Cognitive Augmentation in Commercial Decision Systems

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The Current Landscape of Novel Formulations and the Role of Mathematical Modeling in Their Development

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Modern computational intelligence based drug repurposing for diabetes epidemic

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Computational genome engineering through AI-CRISPR-precision medicine integration in modern therapeutics

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From AI-Assisted In Silico Computational Design to Preclinical In Vivo Models: A Multi-Platform Approach to Small Molecule Anti-IBD Drug Discovery

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Physiological and AI-based study of endophytes on medicinal plants: A mini review

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How Artificial Intelligence is Transforming Medicine: The Future of Pharmaceutical Research

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Andrographolide: A Diterpenoid from Cymbopogon schoenanthus Identified as a New Hit Compound against Trypanosoma cruzi Using Machine Learning and Experimental Approaches

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Decoding Drug Discovery: Exploring A-to-Z In Silico Methods for Beginners

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Drug repositioning for Parkinson’s disease: An emphasis on artificial intelligence approaches

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Impact of the biomarker enrichment strategy in drug development

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Automation in pharmaceutical sector by implementation of artificial intelligence platform: a way forward

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The Artificial Intelligence in Digital Radiology: Part 2: Towards an Investigation of acceptance and consensus on the Insiders

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Deep imputation on large‐scale drug discovery data

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Artificial Intelligence and Its Applications in Drug Discovery, Formulation Development, and Healthcare

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PLA-MoRe: A Protein–Ligand Binding Affinity Prediction Model via Comprehensive Molecular Representations

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Enhanced Patient-Centricity: How the Biopharmaceutical Industry Is Optimizing Patient Care through AI/ML/DL

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Docking and Molecular Dynamics Identify Leads against 5 Alpha Reductase 2 for Benign Prostate Hyperplasia Treatment

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EDC-DTI: An end-to-end deep collaborative learning model based on multiple information for drug-target interactions prediction

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Can computers conceive the complexity of cancer to cure it? Using artificial intelligence technology in cancer modelling and drug discovery

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Guided structure-based ligand identification and design via artificial intelligence modeling

Filippo, J. I. D., & Cavasotto, C. N. (2021) · Expert Opinion on Drug Discovery · doi:10.1080/17460441.2021.1979514 · Cited by 12

Drug Metabolism and Pharmacokinetics

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Introduction to Bioinformatics, AI, and ML for Pharmaceuticals

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The Role of Bioinformatics in Drug Discovery: A Comprehensive Overview

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Construction by artificial intelligence and immunovalidation of hypoallergenic mite allergen Der f 36 vaccine

Qin, Q., Tang, J., Wang, C., Xu, Z., & Tian, M. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1325998 · Cited by 11

Biosynthesis of biomolecules from saffron as an industrial crop and their regulation, with emphasis on the chemistry, extraction methods, identification techniques, and potential applications in human health and food: A critical comprehensive review

Gupta, V., Jamwal, G., Rai, G. K., Gupta, S. K., Shukla, R. M., Dadrwal, B. K., Prabhakar, P., Tripathy, S., Rajpoot, S. K., Singh, A. K., et al. (2024) · Biocatalysis and Agricultural Biotechnology · doi:10.1016/j.bcab.2024.103260 · Cited by 12

AI-Driven Drug Discovery and Development

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Drug discovery in the context of precision medicine and artificial intelligence

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Artificial Intelligence in Medical Metaverse: Applications, Challenges, and Future Prospects

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Artificial Intelligence-based Restoration: The Case of Petra

Goussous, J. S. (2020) · Civil Engineering and Architecture · doi:10.13189/cea.2020.080618 · Cited by 11

Artificial Intelligence in Precision Medicine: A Perspective in Biomarker and Drug Discovery

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Discovering the evolution of artificial intelligence in cancer research using dynamic topic modeling

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Impact of AI on drug delivery and pharmacokinetics: The present scenario and future prospects

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Artificial Intelligence and Machine Learning in Drug Discovery and Development

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Remodelling structure-based drug design using machine learning

Dutta, S., & Bose, K. (2021) · Emerging Topics in Life Sciences · doi:10.1042/etls20200253 · Cited by 11

Knowledge Structure of the Application of High-Performance Computing: A Co-Word Analysis

Lee, K., & Lee, S. (2021) · Sustainability · doi:10.3390/su132011249 · Cited by 11

Artificial Intelligence Assisted Drug Research and Development

Soni, K., & Hasija, Y. (2022) · IEEE Delhi Section Conference (DELCON) · doi:10.1109/delcon54057.2022.9753179 · Cited by 11

Pyrazole Amide Scaffolds in Agricultural Chemistry: From Molecular Design to Applications

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Identification of potential matrix metalloproteinase-2 inhibitors from natural products through advanced machine learning-based cheminformatics approaches

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Recent advancements in the structural biology of human telomerase and their implications for improved design of cancer therapeutics

Welfer, G. A., & Freudenthal, B. (2023) · NAR Cancer · doi:10.1093/narcan/zcad010 · Cited by 11

Application of Deep Learning Neural Networks in Computer-Aided Drug Discovery: A Review

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Exploring the Potential of Artificial Intelligence as a Facilitating Tool for Formulation Development in Fluidized Bed Processor: a Comprehensive Review

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Combining bioinformatics, network pharmacology, and artificial intelligence to predict the mechanism of resveratrol in the treatment of rheumatoid arthritis

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Blood brain barrier permeability prediction with artificial intelligence and machine learning: a meta-review and future directions

Grant, N., Reyes, D. M., Yang, Z., Wan, L. Q., Wang, C., & Yan, P. (2025) · Discover Artificial Intelligence · doi:10.1007/s44163-025-00494-4 · Cited by 16

The Era of Artificial Intelligence in Pharmaceutical Industries - A Review

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Revolutionizing Pharmaceutical Industry: The Radical Impact of Artificial Intelligence and Machine Learning

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Revolutionizing Healthcare and Drug Discovery: The Impact of Artificial Intelligence on Pharmaceutical Development

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Identifying novel putative ERK1/2 inhibitors via hybrid scaffold hopping –FBDD approach

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Digital Health Integration Assessment and Maturity of the United States Biopharmaceutical Industry: Forces Driving the Next Generation of Connected Autoinjectable Devices

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The Impact of Artificial Intelligence on Drug Discovery; A Comprehensive Review

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