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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Artificial Intelligence in the Pharmaceutical Sector of India: Future Prospects and Challenges

Kimta, A., & Dogra, R. (2024) · doi:10.61440/jbes.2024.v1.21 · Cited by 5

Exploring the potential of artificial intelligence in the medical sector for patient well-being: A review

Makho, G. A., Ho, S.-B., & Chai, I. (2024) · AIP conference proceedings · doi:10.1063/5.0216651 · Cited by 3

Evaluating the Impact of AI and ML on Modern Drug Discovery

Lingolu, N. V. V. S. V., Deena Kumari, M., & Pavan Kumar, V. L. S. S. (2024) · Journal of Pharma Insights and Research. · doi:10.69613/8tckqp18 · Cited by 4

An Evidence-Based Systematic Review: The Impact of Artificial Intelligence in Pharmacology and Health Research

Gudadappanavar, A. M., Hombal, P. R., & Benni, J. M. (2024) · Physiology and Pharmacology · doi:10.61186/phypha.28.3.257 · Cited by 3

Application of systemic-structural activity theory to the design of BOTs and AI software

Bedny, I. S. (2021) · Human-Intelligent Systems Integration · doi:10.1007/s42454-021-00027-1 · Cited by 3

Role of Artificial Intelligence in Cancer Diagnosis and Drug Development

Paliwal, D., & Srivastava, S. (2022) · Combinatorial Chemistry & High Throughput Screening · doi:10.2174/1386207325666220304112914 · Cited by 3

Microfluidic Formulation for Biomedical Applications

Trinh, K. T. L. (2023) · Pharmaceuticals · doi:10.3390/ph16111587 · Cited by 3

Visualization, Exploration, and Screening of Chemical Space in Drug Discovery

Naveja, J. J., Saldívar‐González, F. I., Prado‐Romero, D. L., Ruiz-Moreno, A. J., Velasco-Velázquez, M. A., Miranda‐Quintana, R. A., & Medina‐Franco, J. L. (2024) · Wiley eBooks · doi:10.1002/9783527840748.ch16 · Cited by 4

A review on artificial intelligence and machine learning used in pharmaceutical research

Wadighare, U. A., & Deshmukh, S. P. (2024) · GSC Biological and Pharmaceutical Sciences · doi:10.30574/gscbps.2024.26.1.0446 · Cited by 2

AI Based Drug Screening Process: From Data Mining to Candidate Drug Validation

Wang, W. (2024) · Bioscience Methods · doi:10.5376/bm.2024.15.0005 · Cited by 2

Artificial Intelligence in Clinical Trials: The Present Scenario and Future Prospects

Sharma, P., Pathak, L., Doke, R. R., & Mane, S. (2024) · BENTHAM SCIENCE PUBLISHERS eBooks · doi:10.2174/9789815305753124010013 · Cited by 2

Production of bacteriocins by AI: As food preservative

Rashid, M., Kolar, A. B., Jainab, S. I. B., Rashid, R., Sathya, T. A., Brim, H., & Ashktorab, H. (2025) · Methods in microbiology · doi:10.1016/bs.mim.2024.09.001 · Cited by 2

Enhanced information cross-attention fusion for drug–target binding affinity prediction

Fei, A., Wang, Y., Ruan, T., Zhang, Y., Yao, M., & Wang, L. (2025) · PeerJ Computer Science · doi:10.7717/peerj-cs.3117 · Cited by 2

People analytics and organizational psychology: building a high-performance, innovative culture in the pharmaceutical industry

Jones, C. H., Rosemarino, N. M., & Dolsten, C. R. (2025) · Drug Discovery Today · doi:10.1016/j.drudis.2025.104476 · Cited by 3

Emerging biomarkers for early detection of lung cancer

Khangar, P. K., Daniel, V., Vengurlekar, S., Daniel, K., & Jain, S. K. (2025) · Clinical Cancer Bulletin · doi:10.1007/s44272-025-00046-y · Cited by 2

AI-Driven Innovations in Translational Research: Accelerating Bench-to-Bedside Pipelines Through Predictive Modelling and Digital Biomarkers

Judijanto, L. (2025) · European Journal of Applied Science Engineering and Technology · doi:10.59324/ejaset.2025.3(6).09 · Cited by 2

The effects of organizational status on market entry timing and performance: The biopharmaceutical industry amid environmental disruption

Ahn, S., Cho, T. S., & Park, S. H. (2026) · Journal of business research · doi:10.1016/j.jbusres.2025.115893

Mathematical and Artificial Intelligence Techniques in Modern Drug Discovery: A Review

Agrwal, A., Kumar, R., Maheshwari, S., Sharma, M., Batra, C. M., Sharma, S., & Gaur, V. (2025) · Drug Development Research · doi:10.1002/ddr.70212 · Cited by 4

Leveraging artificial intelligence in tissue regenerative engineering via small-molecule libraries

Hosseini, F. S., Whitfield, T., Mitchell, J., Li, Y., & Lo, K. W. ‐. (2026) · Drug Discovery Today · doi:10.1016/j.drudis.2026.104623 · Cited by 2

Uncertainty-calibrated Gaussian process regression for robust soft sensor modeling with industrial fermentation applications

Zhu, H., Pan, C., Jiang, Q., Zhong, W., & Huang, B. (2026) · Journal of Process Control · doi:10.1016/j.jprocont.2026.103661 · Cited by 2

Artificial intelligence-enabled personalisation of oral drug delivery: From data-driven design to on-demand manufacturing

Abdalla, Y., Nandiraju, L. P., Yue, H., Monsales, C. B. D., Yeung, C., & Basit, A. W. (2026) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2026.115855 · Cited by 3

Drug-likeness prioritised selection identifies anti- Escherichia coli candidates confirmed by molecular docking, dynamics simulations, and antibacterial assays

Yu, B., Zhu, H., Xu, L., Zhao, X., & Shi, W. F. (2026) · Journal of Enzyme Inhibition and Medicinal Chemistry · doi:10.1080/14756366.2026.2640719 · Cited by 2

The role of AI for sustainability and economic performance: Evidence from the pharmaceutical industry

Miozza, M., Mascia, D., & Paletta, A. (2026) · Technovation · doi:10.1016/j.technovation.2026.103547 · Cited by 2

Emerging organoids and organoids-on-chip platforms for translational development of antibody‒drug conjugates and next-generation bioconjugates

Hu, Z., Liao, Y., Niu, M., Kong, Z., Vankelecom, H. E. J., Cheng, J., Deleidi, M., Li, C., Jiang, Z., Bian, S., et al. (2026) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2026.05.032 · Cited by 2

A Review on Recent Rational Approaches to Drug Design, Development and Its Discovery

Bisht, D., Arya, R. K. K., Pal, G. R., & Singh, R. P. (2020) · International Journal of Life Science and Pharma Research · doi:10.22376/ijpbs/lpr.2020.10.4.p96-108 · Cited by 2

Prospective adverse event risk evaluation in clinical trials

Kundu, A., Feijoo, F., Martínez, D. A., Hermosilla, M., & Matis, T. I. (2021) · Health Care Management Science · doi:10.1007/s10729-021-09584-y · Cited by 2

Study on Artificial Intelligence (AI) Assisted English Linguistics Teaching System

Meng, X. (2023) · Atlantis highlights in social sciences, education and humanities/Atlantis Highlights in Social Sciences, Education and Humanities · doi:10.2991/978-94-6463-192-0_67 · Cited by 2

Artificial Intelligence: Applications in Healthcare Industry

Pallavi, T. P., Rao, A. L., Bhanuteja, T., & Murthy, T. E. G. K. (2022) · International Journal of Research in AYUSH and Pharmaceutical Sciences · doi:10.47070/ijraps.v6i5.136 · Cited by 2

Applications of artificial intelligence and machine learning in pharmaceutical domain: A comprehensive review

Arivanantham, S., Sekar, P., Sundhararajan, N., Nagalingam, Y., & Raju, S. K. (2023) · World Journal of Biology Pharmacy and Health Sciences · doi:10.30574/wjbphs.2023.16.2.0467 · Cited by 2

UNRAVELLING THE INTERACTION BETWEEN GARCINISIDONE-A AND HER2 PROTEIN IN BREAST CANCER: A COMPUTATIONAL STUDY

Furqan, M., Dachriyanus, D., SUSANTI, M., PUTRA, P. P., & WAHYUNI, F. S. (2024) · International Journal of Applied Pharmaceutics · doi:10.22159/ijap.2024.v16s1.24 · Cited by 2

Molecular Docking Study of Pramipexole Derivatives as Radiopharmaceutical Candidates for Brain Imaging

Wibawa, T. H. A., Rattyananda, B. S., Setiadi, Y., Widyasari, E. M., Sriyani, M. E., Wongso, H., Febrian, ⁠. B., Mahendra, I., Kurniawan, A., Halimah, I., et al. (2024) · E3S Web of Conferences · doi:10.1051/e3sconf/202450303001 · Cited by 2

Identification of Novel STAT3 Dimerization Inhibitor Through Structure-Based Virtual Screening for Cancer Management

Aloqbi, A. A. (2024) · Advancements in Life Sciences · doi:10.62940/als.v11i2.2975 · Cited by 2

Artificial Intelligence: A Major Landmark in the Novel Drug Discovery Pathway for the Remarkable Advancement in the Healthcare System

Debnath, R., Ikbal, A. M. A., Choudhury, A., Mandal, S. C., & Palit, P. (2024) · Interdisciplinary biotechnological advances · doi:10.1007/978-981-97-1148-2_19 · Cited by 2

Production and development of novel drug targets through AI

Mahmoud, G. A., Riad, O. K. M., & Badawy, M. S. E. M. (2024) · Methods in microbiology · doi:10.1016/bs.mim.2024.05.002 · Cited by 2

CEO Gender and Firm’s Adoption of Artificial Intelligence Technology

Yi, J., Wang, Y., & Liu, Y. (2024) · Advances in Economics Management and Political Sciences · doi:10.54254/2754-1169/82/20230647 · Cited by 3

Application of Microfluidics in Drug Development

Parhizkar, M., Wang, F., Tsitouridou, A., & Tsaoulidis, D. A. (2024) · AAPS introductions in the pharmaceutical sciences · doi:10.1007/978-3-031-60717-2_12 · Cited by 2

Drug Molecule Generation Method Based on Fusion of Protein Sequence Features

Wang, M., Zhang, X., Liu, H., Lin, X., Hu, J., & Pang, J. (2024) · Lecture notes in computer science · doi:10.1007/978-981-97-5692-6_11 · Cited by 2

The Socioeconomic Impact of AI in Research and Education

Sharma, M., & Gupta, S. (2024) · Advances in educational technologies and instructional design book series · doi:10.4018/979-8-3693-0884-4.ch017 · Cited by 2

Drug-gene Associations with Graph Learning

Wu, J., Gan, W., Lai, J., Guoting Chen, B., & Yu, P. S. (2024) · ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB) · doi:10.1145/3698587.3701393 · Cited by 2

Machine learning based QSAR and Molecular Dynamics simulations in the structural design and mechanism of action of imidazole derivatives with anti-melanoma activity

Neto, R. F. D. O., Silva, S. R. B., Leal, C. E. Y., & Filho, E. B. D. A. (2025) · Brazilian Journal of Pharmaceutical Sciences · doi:10.1590/s2175-97902025e24510 · Cited by 2

Advances in Pharmaceutical Oral Solid Dosage Forms

Saikiran, P., Kumar, T. P., Arya, S., Tijare, D., Loharkar, S., Bajad, G., Bahuguna, D., Devangan, P., Mourya, A., Veerabromma, H., et al. (2025) · Springer eBooks · doi:10.1007/978-981-97-9230-6_5 · Cited by 2

In silico screening and molecular dynamic simulations of FDA-approved drugs as an inhibitor of trypanothione reductase of Leishmania donovani

Beniwal, P., Bhusal, C. K., Choudhary, G. P., Sehgal, R., Medhi, B., Prakash, A., & Kaur, S. (2025) · Experimental Parasitology · doi:10.1016/j.exppara.2025.108942 · Cited by 2

MolRWKV : Conditional Molecular Generation Model Using Local Enhancement and Graph Enhancement

Li, X., Gong, K., Jiang, Y., Yang, Y. T., & Li, T. (2025) · Journal of Computational Chemistry · doi:10.1002/jcc.70100 · Cited by 2

AI-Powered Formulation Design: Neural Networks in Drug Development

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Bibliometric Analysis and Research Trends in Artificial Intelligence for Pharmaceutical Management and Drug Discovery

Ma, Y., & Jing, F. (2024) · International Conference on Computers and Artificial Intelligence Technology (CAIT) · doi:10.1109/cait64506.2024.10963098 · Cited by 2

REVOLUTIONIZING DRUG DEVELOPMENT: HOW AI AND MACHINE LEARNING ARE SHAPING THE FUTURE OF MEDICINE-A REVIEW

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Nano Encapsulation for the Targeted Drug Delivery to Enhance the Efficacy of Drugs

Kumar, V., & Dutta, R. (2025) · Algorithms for intelligent systems · doi:10.1007/978-981-96-3648-8_9 · Cited by 2

AI-Driven Predictive Models for Early Chronic Disease Detection and Personalized Prevention Strategies

Bhatia, J., Vishveshwara, R. M., Kureshi, F. M. N., Parmar, R. A., Ghosh, A. K., & Upreti, S. (2025) · Smart innovation, systems and technologies · doi:10.1007/978-981-96-2182-8_11 · Cited by 3

Accountable Algorithmic Decision-Making in Pharmaceutical Technology Development

Dupont, C., & Martin, J. (2025) · Journal of Applied Pharmaceutical Technologies and Systems · doi:10.68159/b722721918 · Cited by 2

The design of compounds with desirable properties – The anti‐ HIV case study

Novak, J., Pathak, P., Grishina, M., & Potemkin, V. (2022) · Journal of Computational Chemistry · doi:10.1002/jcc.27061 · Cited by 2

Clinician Cognition and Artificial Intelligence in Medicine

Chang, A. C. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-823337-5.00007-x · Cited by 4

Aplicação de algoritmos de machine learning na área farmacêutica: uma revisão

de Campos, T. C., & de Vasconcelos, T. C. L. (2021) · Research Society and Development · doi:10.33448/rsd-v10i15.22862 · Cited by 2

Is AI Augmenting or Substituting Humans?

Gaczek, P., Leszczyński, G., & Zieliński, M. (2021) · International Journal of Technology and Human Interaction · doi:10.4018/ijthi.293193 · Cited by 2

Emerging Technologies: Gateway to Understand Molecular Insight of Diseases, Newer Drugs, Their Design, and Targeting

Sobti, R. C., Kumari, M., Singhla, M., & Bhandari, R. (2022) · Springer eBooks · doi:10.1007/978-981-16-9232-1_1 · Cited by 2

História da química computacional e do uso dos computadores em química

Rodrigues, S. P. J., & Caridade, P. J. S. B. (2022) · História da Ciência e Ensino construindo interfaces · doi:10.23925/2178-2911.2022v25espp140-153 · Cited by 2

Perspective Chapter: Artificial Intelligence in Multiple Sclerosis

Balasundaram, A., & Ghanta, M. K. (2023) · IntechOpen eBooks · doi:10.5772/intechopen.113299 · Cited by 2

An overview on Pharmaceutical Software

(2023) · International Research Journal of Modernization in Engineering Technology and Science · doi:10.56726/irjmets47081 · Cited by 2

Prospective Role of ChatGPT in Pharmacy: According to ChatGPT

Biswas, S. (2023) · Open Access Journal of Data Science and Artificial Intelligence · doi:10.23880/oajda-16000104 · Cited by 2

Outlook of the future landscape of artificial intelligence in medicine and new challenges

Xing, L., Kapp, D. S., Giger, M. L., & Min, J. K. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-821259-2.00025-9 · Cited by 2

Repurposing Drugs: Lessons from Rheumatology in the COVID-19 Pandemic

Manoj, M., Bafna, P., Sahoo, R. R., Hazarika, K., & Wakhlu, A. (2021) · Indian Journal of Rheumatology · doi:10.4103/injr.injr_323_20 · Cited by 2

Recent Knowledge in Drug Design and Development: Automation and Advancement

Gurung, K., Mishra, S. K., Chhetri, T., Roy, S., Balakrishnan, A., & Georrge, J. J. (2025) · Wiley eBooks · doi:10.1002/9781394280735.ch9 · Cited by 2

ViSAS for Entering Chemical Space: Virtual Screening of Analog Series and Related AdvancesPreprint

Naveja-Romero, J. J., Saldívar-González, F. I., Prado-Romero, D. L., Ruiz-Moreno, A. J., Velasco-Velázquez, M. A., Miranda-Quintana, R. A., & Medina‐Franco, J. L. (2022) · ChemRxiv · doi:10.26434/chemrxiv-2022-9t2rj · Cited by 2

REVOLUTIONIZING NEW DRUG RESEARCH: THE ROLE OF AI AND MACHINE LEARNING IN THE DISCOVERY OF NEW ANTIBIOTICS

Chrobak, D. (2023) · III International Scientific and Practical Conference «EDUCATION AND SCIENCE OF TODAY: INTERSECTORAL ISSUES AND DEVELOPMENT OF SCIENCES» · doi:10.36074/logos-18.08.2023.27 · Cited by 1

3D Printing of Pharmaceutical Products Using AI Technology

Kaushik, B., Subramaniyan, A. K., Pareek, M., Sharma, S., & Velu, R. (2023) · Springer eBooks · doi:10.1007/978-981-99-7100-8_12 · Cited by 1

Deep Learning Approach for Cancer Detection Through Gene Selection

Famitha, S., & Moorthi, M. (2024) · Lecture notes in networks and systems · doi:10.1007/978-981-99-9040-5_24 · Cited by 1

In Silico and Biophysical Techniques in Anticancer Drug Discovery Research

Ghazi, A., & Yap, B. K. (2024) · Interdisciplinary cancer research · doi:10.1007/16833_2024_235 · Cited by 1

A Systematic Review on Artificial Intelligence (AI) Assisted Drug and Vaccine Development against SARS-CoV-2

Singha, V., Ghosh, S., Singha, P. S., Datta, S., & Ghosh, D. (2024) · Coronaviruses · doi:10.2174/0126667975309811240530114325 · Cited by 1

AI Strategies for Delivering Better Value in the Healthcare Sector

Singh, P., & Singh, P. (2024) · Advances in medical technologies and clinical practice book series · doi:10.4018/979-8-3693-3731-8.ch007 · Cited by 1

The Perspectives of Deans of Medical Schools on Introducing Artificial Intelligence and Computer Literacy to Medical Curricula in Arab Countries

Mansour, N., Khoury, F. M.-E., Zaatari, G. S., & Harb, M. (2024) · Springer eBooks · doi:10.1007/978-3-031-70779-7_15 · Cited by 1

Perceptions of Pharmacy Students Toward Artificial Intelligence in Pharmacy

Saeed, A. A., Zamel, A. M. A., Dafallah, A. S., Fagir, A. S. E., Idris, B. A., Youseef, D. A., Saeed, T. B., Idris, W. A., & Hamid, A. (2024) · Matrix Science Pharma · doi:10.4103/mtsp.mtsp_9_24 · Cited by 1

AI Tools for Teaching-Learning Chemistry

Raza, S., Satya, S., Khan, T., & Singh, M. (2024) · BENTHAM SCIENCE PUBLISHERS eBooks · doi:10.2174/9789815305180124010011 · Cited by 1

Application of artificial intelligence as a public health tool: Current scenario and challenges

Kumar, A., Bankar, N. J., Makade, J. G., Kale, Y. S., & Shende, P. (2024) · AIP conference proceedings · doi:10.1063/5.0240283 · Cited by 1

The Role of Artificial Intelligence in the Discovery of New Drugs

Barcelos, M. P., & da Silva, C. H. T. D. P. (2024) · Engineering materials · doi:10.1007/978-3-031-75984-0_14 · Cited by 1

Artificial Intelligence and Machine Learning-Assisted Internet of Medical Things

Shaikh, Z. P. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-6180-1.ch015 · Cited by 1

Mechanism-Based PKPD Models for Rifampicin Evaluation

Shaikh, Z. P. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-6270-9.ch008 · Cited by 1

Exploring the Role of Artificial Intelligence in Pharmaceutical R&D: Innovations in Drug Discovery and Development

Mettu, B. P. R. (2023) · Journal of Artificial Intelligence Machine Learning and Data Science · doi:10.51219/jaimld/bhanu-prakash-mettu/553 · Cited by 1

Advancing Oncology Drug Development in the US: The Interplay between Innovations and Regulatory Science

Dou, Y. N., & Wang, J. (2025) · Therapeutic Innovation & Regulatory Science · doi:10.1007/s43441-025-00800-3 · Cited by 1

Review on Advancement of AI in Cell Engineering and Molecular Biology

Swargiary, D., Saikia, A., Basumatary, D., & Borah, J. C. (2025) · Methods in molecular biology · doi:10.1007/978-1-0716-4690-8_10 · Cited by 1

Emerging nanotechnology-based therapies in the treatment of diabetes: recent developments and future opinion

Bhardwaj, A., Verma, S., Agnihotri, A., & Chitme, H. R. (2025) · Drug Development and Industrial Pharmacy · doi:10.1080/03639045.2025.2548844 · Cited by 2

Artificial intelligence in GPCR drug discovery: A paradigm shift in computational pharmacology

Vinter, A., & Grgičević, I. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-29808-0.00047-9 · Cited by 1

Machine Learning in Medicine: A New Paradigm for Diagnosis and Treatment

Posunko, A., Chavarha, M., Bashkirova, L., Vasylyuk-Zaitseva, S., & Abramchuk, O. (2025) · Futurity Medicine. · doi:10.57125/fem.2025.09.30.01 · Cited by 1

Scilinkbert: a BERT-style language model for understanding scientific texts with citations

Yu, J.-Y., Yang, D., & Lee, K.-H. (2025) · The Journal of Supercomputing · doi:10.1007/s11227-025-07838-y · Cited by 1

AI and Machine Learning in Pharmaceutical Manufacturing: Revolutionizing Process Optimization

Gorle, A. P., Pawar, S., Dipali, A., Nimbarthe, H., & Leena, C. (2025) · Journal of Drug Delivery and Therapeutics · doi:10.22270/jddt.v15i10.7422 · Cited by 3

Discovery of pharmaceutical compounds from oceanic sources: Successes and challenges

Inbakandan, D., Clements, C., Manikandan, S., Kumar, N. G., & Anu, C. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-33122-0.00021-0 · Cited by 1

Microbial biotechnology in the era of big data and AI

Pandey, K., Suryavanshi, M. V., & Patel, R. B. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-33032-2.00017-4 · Cited by 2

Development of an mHealth App Prototype for LGBTQIA+ Individuals’ Sexual and Reproductive Health in Gauteng Province, South Africa: Design Science Research Study

Seretlo, R. J., Mokgatle, M. M., Smuts, H., & Sepeng, N. V. (2025) · JMIR Formative Research · doi:10.2196/79593 · Cited by 1

gSelformer-MV: Multiview, Subgraph-Augmented Group SELFIES Transformer for Molecular Property Prediction

Korolev, V., Sorokin, A. A., & Kuratov, Y. (2025) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.5c02342 · Cited by 1

THE AI REVOLUTION IN PHARMACEUTICALS: INNOVATIONS, CHALLENGES, AND FUTURE PROSPECTS – AN OVERVIEW

VIGNESH, R., Umashankar, M. S., & Narayanasamy, D. (2026) · International Journal of Applied Pharmaceutics · doi:10.22159/ijap.2026v18i1.55744 · Cited by 2

Strategic AI Adoption in Pharma Organizational Change

Chikhale, H. U., Yeole, V., Chavan, H. P., Sangale, S. M., Shelke, A. V., Tharayil, A. S., Nair, A., & Praveen Javali, R. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-6400-1.ch002 · Cited by 1

Digital Revolution in Pharmaceutical Industry: A Network Analysis of Industry 5.0 Technologies

ERİM, M. M., D’Alessandro, C., Szopik‐Depczyńska, K., & Ioppolo, G. (2026) · Springer proceedings in complexity · doi:10.1007/978-3-032-09066-9_25 · Cited by 1

AI-designed drugs: clinical development and future directions

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