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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The rise of deep learning in drug discovery

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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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Machine Learning and Deep Learning in Data-Driven Decision Making of Drug Discovery and Challenges in High-Quality Data Acquisition in the Pharmaceutical Industry

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Application of artificial intelligence in drug design: A review

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Artificial Intelligence in Pharmacy

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Antibiotic discovery in the artificial intelligence era

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Machine Learning Empowering Drug Discovery: Applications, Opportunities and Challenges

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Isolation and Characterization of a New Endophytic Actinobacterium Streptomyces californicus Strain ADR1 as a Promising Source of Anti-Bacterial, Anti-Biofilm and Antioxidant Metabolites

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The machine learning life cycle and the cloud: implications for drug discovery

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Recent advances in AI-based toxicity prediction for drug discovery

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Artificial intelligence in the early stages of drug discovery

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Technology entrepreneurship in healthcare: Challenges and opportunities for value creation

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Droplet-Based Microfluidics: Applications in Pharmaceuticals

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Strategies of Artificial intelligence tools in the domain of nanomedicine

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Predicting drug-induced liver injury using graph attention mechanism and molecular fingerprints

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The Potential of Artificial Intelligence in Pharmaceutical Innovation: From Drug Discovery to Clinical Trials

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AI-driven innovations in pharmaceuticals: optimizing drug discovery and industry operations

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Artificial Intelligence in Clinical Oncology: From Data to Digital Pathology and Treatment

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High-content phenotypic and pathway profiling to advance drug discovery in diseases of unmet need

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Artificial Intelligence in Small-Molecule Drug Discovery: A Critical Review of Methods, Applications, and Real-World Outcomes

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Recent advances and application of generative adversarial networks in drug discovery, development, and targeting

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Key indicators of phase transition for clinical trials through machine learning

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Artificial intelligence in the pharmaceutical sector: current scene and future prospect

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AI-Powered Microfluidics: Shaping the Future of Phenotypic Drug Discovery

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Hypergraph-based persistent cohomology (HPC) for molecular representations in drug design

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Ollivier Persistent Ricci Curvature-Based Machine Learning for the Protein–Ligand Binding Affinity Prediction

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Application of big data and artificial intelligence in epidemic surveillance and containment

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Exploring the artificial intelligence and machine learning models in the context of drug design difficulties and future potential for the pharmaceutical sectors

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Artificial Intelligence as a Replacement for Animal Experiments in Neurology: Potential, Progress, and Challenges

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Analysis of Publication Activity and Research Trends in the Field of AI Medical Applications: Network Approach

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New insights into butyrylcholinesterase: Pharmaceutical applications, selective inhibitors and multitarget-directed ligands

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User-friendly and industry-integrated AI for medicinal chemists and pharmaceuticals

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ABT-MPNN: an atom-bond transformer-based message-passing neural network for molecular property prediction

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AI can help to speed up drug discovery — but only if we give it the right data

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Structure-based drug repositioning: Potential and limits

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Applications of artificial intelligence in drug delivery and pharmaceutical development

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Insight into potent TLR2 inhibitors for the treatment of disease caused by Mycoplasma pneumoniae based on machine learning approaches

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Development of Anticancer Peptides Using Artificial Intelligence and Combinational Therapy for Cancer Therapeutics

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A comprehensive review on recent approaches for cancer drug discovery associated with artificial intelligence

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Artificial intelligence (AI) in drug design and discovery: A comprehensive review

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Artificial intelligence in dermatology and healthcare: An overview

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Artificial Intelligence in Drug Formulation and Development: Applications and Future Prospects

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Success stories of AI in drug discovery - where do things stand?

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A new era in healthcare: The integration of artificial intelligence and microbial

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Developing organs‐on‐chips for biomedical applications

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Advancing algorithmic drug product development: Recommendations for machine learning approaches in drug formulation

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Artificial intelligence: illuminating the depths of the tumor microenvironment

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The role of artificial intelligence in drug screening, drug design, and clinical trials

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Drug discovery technologies: Caenorhabditis elegans as a model for anthelmintic therapeutics

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Human iPSC-Based Modeling of Central Nerve System Disorders for Drug Discovery

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Cancer molecular biology and strategies for the design of cytotoxic gold( i ) and gold( iii ) complexes: a tutorial review

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Treasuring the computational approach in medicinal plant research

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Synergy of AI and Blockchain to Secure Electronic Healthcare Records

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Advanced AI and ML frameworks for transforming drug discovery and optimization: With innovative insights in polypharmacology, drug repurposing, combination therapy and nanomedicine

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Artificial intelligence as a tool in drug discovery and development

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Metabolomics‐driven approaches for identifying therapeutic targets in drug discovery

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Introduction to Artificial Intelligence

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Artificial Intelligence in Accelerating Drug Discovery and Development

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Explicating the transformative role of artificial intelligence in designing targeted nanomedicine

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Using artificial intelligence technology to fight COVID-19: a review

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From Lab to Clinic: How Artificial Intelligence (AI) Is Reshaping Drug Discovery Timelines and Industry Outcomes

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Toward the institutionalization of quantum computing in pharmaceutical research

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Advancing health care via artificial intelligence: From concept to clinic

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Applications of artificial intelligence in current pharmacy practice: A scoping review

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Dual modality feature fused neural network integrating binding site information for drug target affinity prediction

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Artificial intelligence and machine learning in the development of vaccines and immunotherapeutics—yesterday, today, and tomorrow

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Current challenges and future directions of ATMPs in regenerative medicine

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Driving success in personalized medicine through AI-enabled computational modeling

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Investigation on the impacts of COVID-19 quarantine on society and environment: Preventive measures and supportive technologies

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Artificial intelligence and the future of life sciences

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High-throughput glycolytic inhibitor discovery targeting glioblastoma by graphite dots–assisted LDI mass spectrometry

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Machine Learning Approaches for Smart City Applications: Emergence, Challenges and Opportunities

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When artificial intelligence (AI) meets organoids and organs-on-chips (OoCs): Game-changer for drug discovery and development?

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Computational methods directed towards drug repurposing for COVID-19: advantages and limitations

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Artificial Intelligence and Quantum Computing as the Next Pharma Disruptors

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Exploiting Pharma 4.0 Technologies in the Non-Biological Complex Drugs Manufacturing: Innovations and Implications

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The use of artificial intelligence in the treatment of rare diseases: A scoping review

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Self-Assembled Monolayers as Platforms for Nanobiotechnology and Biointerface Research: Fabrication, Analysis, Mechanisms, and Design

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A roadmap to AI-driven in silico process development: bioprocessing 4.0 in practice

von Stosch, M., Portela, R. M. C., & Varsakelis, C. (2021) · Current Opinion in Chemical Engineering · doi:10.1016/j.coche.2021.100692 · Cited by 39

Artificial Intelligence for Drug Development

Ashraf, M. W. (2021) · Computational biology · doi:10.1007/978-3-030-69951-2_5 · Cited by 38

Artificial Intelligence-Driven Innovations in Oncology Drug Discovery: Transforming Traditional Pipelines and Enhancing Drug Design

Albani, F. G., Alghamdi, S. S., Almutairi, M. M., & Alqahtani, T. (2025) · Drug Design Development and Therapy · doi:10.2147/dddt.s509769 · Cited by 46

Propensity score-integrated Bayesian prior approaches for augmented control designs: a simulation study

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Artificial Intelligence's Significance in Diseases with Malignant Tumours

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The Beginning of a New Era: Artificial Intelligence in Healthcare

Kumar, A., Gadag, S., & Nayak, U. Y. (2020) · Advanced Pharmaceutical Bulletin · doi:10.34172/apb.2021.049 · Cited by 39

Artificial intelligence in managing clinical trial design and conduct

Bhatt, A. (2021) · Perspectives in Clinical Research · doi:10.4103/picr.picr_312_20 · Cited by 38

How to Design AI-Driven Clinical Trials in Nuclear Medicine

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Artificial intelligence in small molecule drug discovery from 2018 to 2023: Does it really work?

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Review on the Artificial Intelligence-based Nanorobotics Targeted Drug Delivery System for Brain-specific Targeting

Rai, A., Shah, K., & Dewangan, H. K. (2023) · Current Pharmaceutical Design · doi:10.2174/0113816128279248231210172053 · Cited by 38

Leading artificial intelligence–driven drug discovery platforms: 2025 landscape and global outlook

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Ethical Challenges of Artificial Intelligence in Medicine

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Potential Applications of 5G Network Technology for Climate Change Control: A Scoping Review of Singapore

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

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GCNGAT: Drug–disease association prediction based on graph convolution neural network and graph attention network

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Benchmarking compound activity prediction for real-world drug discovery applications

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