Artificial intelligence in drug development: present status and future prospects

Artificial intelligence in healthcare: past, present and future

Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., Wang, Y., Dong, Q., Shen, H., & Wang, Y. (2017) · Stroke and Vascular Neurology · doi:10.1136/svn-2017-000101 · Cited by 4,837

Can the pharmaceutical industry reduce attrition rates?

Kola, I., & Landis, J. (2004) · Nature Reviews Drug Discovery · doi:10.1038/nrd1470 · Cited by 4,167

Principles of early drug discovery

Hughes, J., Rees, S., Kalindjian, S., & Philpott, K. (2011) · British Journal of Pharmacology · doi:10.1111/j.1476-5381.2010.01127.x · Cited by 2,859

Artificial intelligence in medicine

Hamet, P., & Tremblay, J. (2017) · Metabolism · doi:10.1016/j.metabol.2017.01.011 · Cited by 2,334

Diagnosing the decline in pharmaceutical R&D efficiency

Scannell, J. W., Blanckley, A., Boldon, H., & Warrington, B. (2012) · Nature Reviews Drug Discovery · doi:10.1038/nrd3681 · Cited by 1,981

Planning chemical syntheses with deep neural networks and symbolic AI

Segler, M. H. S., Preuss, M., & Waller, M. P. (2018) · Nature · doi:10.1038/nature25978 · Cited by 1,847

The rise of deep learning in drug discovery

Chen, H., Engkvist, O., Wang, Y., Olivecrona, M., & Blaschke, T. (2018) · Drug Discovery Today · doi:10.1016/j.drudis.2018.01.039 · Cited by 1,770

Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks

Segler, M. H. S., Kogej, T., Tyrchan, C., & Waller, M. P. (2018) · ACS Central Science · doi:10.1021/acscentsci.7b00512 · Cited by 1,537

Deep Learning in Medical Imaging: General Overview

Lee, J., Jun, S., Cho, Y.-W., Lee, H., Kim, G. B., Seo, J. B., & Kim, N. (2017) · Korean Journal of Radiology · doi:10.3348/kjr.2017.18.4.570 · Cited by 1,328

Organs-on-chips at the frontiers of drug discovery

Esch, E. W., Bahinski, A., & Huh, D. (2015) · Nature Reviews Drug Discovery · doi:10.1038/nrd4539 · Cited by 1,185

Artificial Intelligence: A New Era in Drug Discovery

Mishra, D. K., & Awasthi, H. (2021) · Asian Journal of Pharmaceutical Research and Development · doi:10.22270/ajprd.v9i5.995 · Cited by 7

Artificial intelligence (AI) and machine learning in the treatment of various diseases

Mittal, P., Goyal, R., Kapoor, R., & Gautam, R. K. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-99137-7.00010-1 · Cited by 5

SEmHuS: a semantically embedded humanitarian space

Shamoug, A., Cranefield, S., & Dick, G. (2023) · Journal of International Humanitarian Action · doi:10.1186/s41018-023-00135-4 · Cited by 6

Role of artificial intelligence in pharmaceutical health care

Lu, K. (2024) · Journal of the American Pharmacists Association · doi:10.1016/j.japh.2023.12.012 · Cited by 6

Integrating Transformer-based Language Model for Drug Discovery

Kotkondawar, R. R., Sutar, S. R., Kiwelekar, A. W., & Kadam, V. J. (2024) · International Conference on Computing for Sustainable Global Development · doi:10.23919/indiacom61295.2024.10498263 · Cited by 6

Drug Discovery and Development from Ethnomedicinal Plants in the Artificial Intelligence Era

Mesta, S. C., Kumar, J. S., Elayaperumal, S., & Meenakumari, H. R. (2024) · Springer eBooks · doi:10.1007/978-981-97-3405-4_21 · Cited by 7

Strategic partnerships for AI-driven drug discovery: The role of relational dynamics

Kint, S., Dolfsma, W. A., & Robinson, D. (2024) · Drug Discovery Today · doi:10.1016/j.drudis.2024.104242 · Cited by 8

Artificial Intelligence in Pharmaceutical Management Education: Opportunities, Challenges, and Impact

Patel, P., Kumari, D., Jain, A., Gupta, R., & Mishra, H. K. (2024) · International Journal of Pharmaceutical Sciences and Nanotechnology · doi:10.37285/ijpsn.2024.17.6.6 · Cited by 5

Psychedelic Drugs in Mental Disorders: Current Clinical Scope and Deep Learning‐Based Advanced Perspectives

Kim, S., Yang, S., Jung, J., Choi, J., Kang, M., & Joo, J. (2025) · Advanced Science · doi:10.1002/advs.202413786 · Cited by 5

When the drugs (don’t) work: The role of science in product commercialization

Anckaert, P. (2025) · Research Policy · doi:10.1016/j.respol.2025.105237 · Cited by 5

Cybersecurity and Compliance in Clinical Trials: The Role of Artificial Intelligence in Secure Healthcare Management

Gomase, V. S., Ghatule, A. P., Sharma, R., & Sardana, S. (2025) · Reviews on Recent Clinical Trials · doi:10.2174/0115748871366467250413070850 · Cited by 6

Machine learning algorithms used in Quantitative structure-activity relationships studies as new approaches in drug discovery

Stitou, M., Toufik, H., Bouachrıne, M., Bih, H., & Lamchouri, F. (2019) · International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS) · doi:10.1109/isacs48493.2019.9068917 · Cited by 5

Protein Structure, Dynamics and Assembly: Implications for Drug Discovery

Yazhini, A., Chakraborti, S., & Srinivasan, N. (2021) · Springer eBooks · doi:10.1007/978-981-15-8936-2_5 · Cited by 5

An Efficient Drug Design Method Based on Drug-Target Affinity

Liu, H., Zhang, X., Lin, X., & Hu, J. (2023) · Lecture notes in computer science · doi:10.1007/978-981-99-4749-2_65 · Cited by 5

Neuronal Circuit-Based Computer Modeling as a Phenotypic Strategy for CNS R&D

Geerts, H., & Barrett, J. E. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00723 · Cited by 5

Human Forest vs. Random Forest in Time-Sensitive COVID-19 Clinical Trial PredictionPreprint

Atanasov, P. D., Joseph, R., Feijoo, F., Marshall, M., Conway, A., & Siddiqui, S. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3981732 · Cited by 6

Artificial Intelligence and Machine Learning‐Based New Drug Discovery Process with Molecular Modelling

Rani, I., Munjal, K., Singla, R. K., & Gautam, R. K. (2023) · Wiley eBooks · doi:10.1002/9781119865728.ch2 · Cited by 5

Emerging Technologies in IoM

Bansal, S., & Sindhi, V. (2025) · doi:10.1002/9781394269969.ch14 · Cited by 5

The Impact of Artificial Intelligence on Pharmacy Education, Research and Practice

Kakade, P. A., Sontakke, S. M., Hosmani, A. H., & Gonjari, I. D. (2025) · Asian Journal of Pharmaceutical Research · doi:10.52711/2231-5691.2025.00051 · Cited by 4

Pharmacy Students’ Perspectives on Integrating Generative AI into Pharmacy Education

Alexander, K. M., Jorgensen, E. O., Rowe, C., & Nguyen, K. A. (2025) · Pharmacy · doi:10.3390/pharmacy13060183 · Cited by 5

Diagnosing pharmaceutical regulatory agencies: A metacybernetic framework for innovation and governance

Dominici, G., & Yolles, M. I. (2026) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2026.124584 · Cited by 4

Status of the Indian biopharmaceutical industry and way forward to be a dominant global player

Ghosh, P. (2023) · MGM Journal of Medical Sciences · doi:10.4103/mgmj.mgmj_106_23 · Cited by 4

AI and machine learning in pharmaceutical formulation and manufacturing of personalized medicines

Gupta, A., Vaidya, K., & Boehnke, N. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-91819-0.00006-3 · Cited by 6

Navigating Recent Changes in Dosing Information: Dynamics of FDA‐Approved Monoclonal Antibodies in Post‐Marketing Realities

Lee, N., Rhee, S., Koo, S. M., Kim, S. W., Lee, G. E., Yie, Y. A., & Kim, Y. (2025) · Clinical and Translational Science · doi:10.1111/cts.70125 · Cited by 4

Artificial Intelligence [AI] -The Game Changer in Pharmaceutical Industry

Fatima, M. J., & Parthiban, C. (2024) · Asian Journal of Pharmacy and Technology · doi:10.52711/2231-5713.2024.00061 · Cited by 4

A Review on Progress and Potential of Machine Learning and AI in Pharmaceutical Development

Uriti, S. V. (2025) · Journal of Pharma Insights and Research. · doi:10.69613/8pyky553 · Cited by 4

Harnessing AI for precision medicine and its applications in genomics, systems pharmacology, and drug discovery

Dagher, J., Nassar, M., & Faour, W. H. (2025) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2025.178183 · Cited by 5

Artificial Intelligence-Based Methods and Omics for Mental Illness Diagnosis: A Review

de Oliveira, G. S., Rodrigues, F. H. D. S., Pontes, J. G. D. M., & Tasić, L. (2025) · Bioengineering · doi:10.3390/bioengineering12101039 · Cited by 4

Mesenchymal stem cell therapy for end-stage liver disease: adversity and opportunity

Li, S., Wang, Y., Li, S., Zhu, Y., Du, Y., Zheng, X., & Wu, J. (2025) · Stem Cell Research & Therapy · doi:10.1186/s13287-025-04788-3 · Cited by 6

Highly efficient and durable Th1-biased protective immunity from a novel mRNA vaccine against RSV via AI-assisted antigen screening

Dong, K., Liu, F., Zhang, M., Zhou, Y., Yu, F., Wang, W., Chai, X., Li, J., & Song, G. (2026) · Molecular Therapy · doi:10.1016/j.ymthe.2026.01.031 · Cited by 4

A meta learning and task adaptive approach for drug target affinity prediction

Wan, M., Zhao, Y., Zhang, Y., Xu, H., Yi, D., Zan, P., He, S., & Bo, X. (2026) · Nature Communications · doi:10.1038/s41467-026-70554-5 · Cited by 4

Physics-inspired explainable AI for mechanistic and decision support in drug discovery

Lavecchia, A. (2026) · Drug Discovery Today · doi:10.1016/j.drudis.2026.104679 · Cited by 4

Advances in Activity/Property Prediction from Chemical Structures

Saunders, A., & Harrington, P. D. B. (2022) · Critical Reviews in Analytical Chemistry · doi:10.1080/10408347.2022.2066461 · Cited by 4

Small Molecular Drug Screening Based on Clinical Therapeutic Effect

Cai, Z., Ai, J., Yang, Y., Ma, F., & Sun, W. H. (2022) · Molecules · doi:10.3390/molecules27154807 · Cited by 4

General Strategies for Rational Design and Discovery of Multitarget Drugs

Wang, Z., & Yang, B. (2022) · Springer eBooks · doi:10.1007/978-3-031-04998-9_18 · Cited by 4

The Role of Artificial Intelligence in Therapeutic Drug Monitoring and Clinical Toxicity

Saikia, S., Prajapati, J. B., Prajapati, B. G., Padma, V. V., & Pathak, Y. V. (2022) · Springer eBooks · doi:10.1007/978-3-031-12398-6_5 · Cited by 5

Platinum(IV) compounds as potential drugs: a quantitative structure-activity relationship study

Novak, J., Романовна, З. А., Potemkin, V., Шарутин, В. В., & Sharutina, O. K. (2023) · Bioimpacts · doi:10.34172/bi.2023.24180 · Cited by 4

Building a Convolutional Neural Network Model for Tuberculosis Detection Using Chest X-Ray Images

Akbari, M. N., & Azizi, A. (2023) · ghalib quarterly journal · doi:10.58342/ajid/ghalibuni.v.1.i.1.5 · Cited by 4

Digital Double Diamond (DiDD) Model Analysis of National Competitiveness Under Digital Transformation: An Application to Healthcare and Pharmaceutical Industries in South Korea and Switzerland

Kim, Y., Atukeren, E., & Lee, Y. W. (2023) · International Journal of Global Business and Competitiveness · doi:10.1007/s42943-023-00080-4 · Cited by 4

Generating a potent inhibitor against MCF7 breast cancer cell through artificial intelligence based virtual screening and molecular docking studies

Vatchalan, L., Gomathi, V., Rajeshkanna, A., & Hari Ram, S. (2023) · Indian Journal of Biochemistry and Biophysics · doi:10.56042/ijbb.v60i11.6067 · Cited by 4

Overview of drugs approved by the FDA in 2022

Куркин, Д. В., Morkovin, E. I., Bakulin, D. A., Gorbunova, Y. V., Kolosov, Y. A., Dzhavakhyan, M. A., Макаренко, И. Е., Васильевич, Д. Р., Zaborovsky, A. V., Shatalova, O. V., et al. (2023) · Pharmacy & Pharmacology · doi:10.19163/2307-9266-2023-11-3-193-210 · Cited by 4

A Comprehensive Investigation: Developing the Pharmaceutical Industry through Artificial Intelligence

Jain, D., Chandra, P., Ali, Z., Fatma, N., & Khan, H. (2024) · Current Drug Discovery Technologies · doi:10.2174/0115701638313233240830132804 · Cited by 4

Thiosemicarbazone Derivatives in Search of Potent Medicinal Agents: QSAR Approach (A Review)

Ahmad, M. I., Veg, E., Joshi, S., Khan, A. R., & Khan, T. (2024) · Russian Journal of General Chemistry · doi:10.1134/s1070363224090251 · Cited by 4

Discovery of a Novel Small-molecule Interleukin-6 Inhibitor Through Virtual Screening Using Artificial Intelligence

Sato, Y., Kashiwakura, I., Yamaguchi, M., Yoshino, H., Tanaka, T., Ikeda, K., Ye, Z., Komatsu, H., Matsuzaki, T., & Hosoda, M. (2021) · Medicinal Chemistry · doi:10.2174/1573406418666211116144243 · Cited by 4

USE OF ARTIFICIAL INTELLIGENCE IN IN SILICO DRUG DISCOVERY OF PHARMACEUTICALS

Bhattacharyya, S., & Ramakrishna, K. H. (2022) · INDIAN DRUGS · doi:10.53879/id.58.12.12316 · Cited by 4

Artificial intelligence and data science in pharmacogenomics-based drug discovery: Future of medicines

Jhawat, V., Gupta, S., Gulia, M., & Nair, A. B. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-98352-5.00005-7 · Cited by 4

Reinventing Therapeutic Proteins: Mining a Treasure of New Therapies

Niazi, S. K., & Mariam, Z. (2023) · Biologics · doi:10.3390/biologics3020005 · Cited by 4

Integrating Early-Stage Drug Development with Clinical Networks; Challenges and Opportunities: The City of Hope Developing Experience

Villalona-Calero, M. A., Malhotra, J. D., Chung, V. M., Xing, Y., Gray, S. W., Hampel, H., Gruber, S. B., & McDonnell, K. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12124061 · Cited by 4

Artificial Intelligence–Enhanced Drug Discovery and the Achievement of Next-Generation Human-Centered Health System

Mbatha, S. Z., Mulaudzi, T. V., Mbita, Z., Adeola, H. A., Batra, J., Blenman, K., & Dlamini, Z. (2023) · Springer eBooks · doi:10.1007/978-3-031-36461-7_7 · Cited by 5

Understanding the Potentiality of Artificial Intelligence in Psychological Disorders Detection and Diagnostics

Aich, K., Kashyap, S., Tyagi, K., Verma, I., Chauhan, A., & Jain, C. K. (2023) · OBM Neurobiology · doi:10.21926/obm.neurobiol.2304198 · Cited by 4

Exploration of comprehensive marine natural products database against dengue viral non-structural protein 1 using high-throughput computational studies

Bhat, B. A., Algaissi, A. A., Khamjan, N. A., Dar, T. U. H., Dar, S. A., Varadharajan, V., Qasir, N. A., & Lohani, M. (2024) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2023.2297006 · Cited by 4

Revolutionizing Drug Design with Artificial Intelligence: A Comprehensive Review of Techniques, Applications, and Case Studies

Pareek, V., Tuteja, L., Sharma, L. K., Kumar, S., & Verma, N. (2023) · Journal of Pharmaceutical Research · doi:10.18579/jopcr/v22.3.23.54 · Cited by 4

The Role of Norrish Type-I Chemistry in Photoactive Drugs: An ab initio Study of a Cyclopropenone-Enediyne Drug Precursor

Léger, S. J., Marchetti, B., Ashfold, M. N. R., & Karsili, T. N. V. (2020) · Frontiers in Chemistry · doi:10.3389/fchem.2020.596590 · Cited by 4

Machine Learning Applications in Rational Drug Discovery

Chugh, H., & Singh, S. (2022) · doi:10.1002/9781394167258.ch3 · Cited by 4

Rethinking medical innovation: organizing R&D, responding to crisis, delivering health services

Rake, B., Gulbrandsen, M., McKelvey, M., & Miller, F. A. (2025) · Innovation · doi:10.1080/14479338.2024.2446894 · Cited by 4

Artificial intelligence in drug discovery: Current applications and future directions

Alanazi, A. A. A., Fahad, ‏. I. A. A., Almorshed, A. S. A., Alrbian, A. A. M., Alnughaymishi, A. A. S., Al-Mutairi, N. H. B., Alajmi, A. A., & Otaibi, S. G. A. (2022) · International Journal of Health Sciences · doi:10.53730/ijhs.v6ns10.15290 · Cited by 5

Artificial Intelligence in Drug Discovery Towards Strategic Applications Challenges and Implementation Frameworks for Accelerated Pharmaceutical Innovation

Mansur, M. C. (2025) · European Journal of Artificial Intelligence and Machine Learning · doi:10.24018/ejai.2025.4.3.65 · Cited by 3

Automated drug design for druggable target identification using integrated stacked autoencoder and hierarchically self-adaptive optimization

Masoomkhah, S. S., Rezaee, K., Ansari, M., Eslami, H., Shirani, S., & Alizadeh, M. H. (2025) · Scientific Reports · doi:10.1038/s41598-025-18091-x · Cited by 3

Impact of Artificial Intelligence on the Future of Clinical Pharmacy and Hospital Settings

Hamishehkar, H., & Shahidi, M. (2025) · Journal of Research in Pharmacy Practice · doi:10.4103/jrpp.jrpp_51_25 · Cited by 7

Leveraging artificial intelligence for drug development and drug discovery

Chatterjee, S., Kundu, S., & Sarkar, N. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-33032-2.00018-6 · Cited by 3

Artificial intelligence in natural products research

Yuan, X., Yang, X., Pan, Q., Luo, C. Y., Luan, X., & Zhang, H. (2025) · Chinese Journal of Natural Medicines · doi:10.1016/s1875-5364(25)60902-2 · Cited by 4

Qualitative Study Exploring Perceptions of Integrating Artificial Intelligence into Future Pharmacy Objective Structured Clinical Examinations

Nasr, Z. G., Mohamed, A. R., Almarri, H., Amir, N., Rustom, R., Kattan, L., & Abulola, S. M. (2025) · American Journal of Pharmaceutical Education · doi:10.1016/j.ajpe.2025.101906 · Cited by 3

Bridging the digital divide in the pharmaceutical industry: A future research agenda

Miozza, M., Lombardo, S. M., Galvagno, M., & Magni, L. (2025) · Social Science & Medicine · doi:10.1016/j.socscimed.2025.118832 · Cited by 7

AI-Driven Drug Formulation Development: Transforming the Future of Pharmaceutical Drug Development from Discovery to Regulatory Aspects

Sartaj, A., Rajora, A., Usmani, J., Bana, S., Annu, & Ali, J. (2025) · Journal of Pharmaceutical Innovation · doi:10.1007/s12247-025-10244-9 · Cited by 5

Beyond the hype: navigating the real-world applications of artificial intelligence (AI) in healthcare

Fung, M.-C. (2026) · Medical Review · doi:10.1515/mr-2025-0074 · Cited by 3

Learning from the successes and failures of early artificial intelligence (AI) adoption for drug discovery in Big BioPharma

Braddock, M., & Jeziorski, K. (2026) · Expert Opinion on Drug Discovery · doi:10.1080/17460441.2026.2624023 · Cited by 3

Spectral Decomposition of Chemical Semantics for Activity Cliffs‐Aware Molecular Property Prediction

Xie, C., Xu, J., Huang, G., Wang, S., He, M., Dong, X., Hong, H., Yao, X., Wang, Q., & Li, Y. (2026) · Advanced Science · doi:10.1002/advs.202517579 · Cited by 3

The role of artificial intelligence in the interpretation and review of images across different radiology modalities with a focus on its benefits and challenges

Hooshmandi, S., Tabatabaii, M., Arani, H. Z., Heidarian, A., & Nazemi, S. (2026) · Discover Artificial Intelligence · doi:10.1007/s44163-026-00843-x · Cited by 3

Solution-phase multifunctional modulation of cholinesterases and carbonic anhydrases by thiourea–pyrimidine benzenesulfonamides: Kinetics and explicit-solvent molecular dynamics

Tok, F., Dumani, A., Güney, S., Abas, B. İ., Kozan, B., Türkeş, C., Duran, H. E., Başoğlu, F., Çevik, Ö., & Ece, A. (2026) · Journal of Molecular Liquids · doi:10.1016/j.molliq.2026.129456 · Cited by 3

Drug–carrier molecular incompatibility as a hidden determinant of failure in cancer nanomedicine: investigation of possible solutions

Singh, D., & Bhattacharya, S. (2026) · Therapeutic Delivery · doi:10.1080/20415990.2026.2662808 · Cited by 3

Integrative Peptide Drug Development: Chemical Engineering, AI-Driven Design, and Cell-Penetrating Peptides

Jang, Y. E., Kwon, M., Kwon, C. W., Kim, S. G., Hwang, J. S., George, N. P., Paik, S. R., Misra, S., Basith, S., Sheen, S. S., et al. (2026) · Pharmaceutics · doi:10.3390/pharmaceutics18050537 · Cited by 5

From Molecular Networks to Medicines: Targeting Complexity in Alzheimer’s Disease (AD) Therapy

Kumar, D. R. P., Patel, S., Mishra, P. S., Srivastava, S., Sridhar, S. B., Shareef, J., Sahu, R., Tariq, M., Uddin, J., & Muhsinah, A. B. (2026) · Molecular Neurobiology · doi:10.1007/s12035-026-05909-6 · Cited by 3

A Note on Robotics and Artificial Intelligence in Pharmacy

Bhattacharya, S. (2021) · Applied Drug Research Clinical Trials and Regulatory Affairs · doi:10.2174/2667337108666211206151551 · Cited by 4

Artificial Intelligence in Healthcare: An Overview

Anwar, S. S., Ahmad, U., Khan, M. M., Haider, M. F., & Akhtar, J. (2022) · IntechOpen eBooks · doi:10.5772/intechopen.102768 · Cited by 6

Progressing Towards a Human-Centric Approach in Cancer Research

Parekh, A., Das, S., Das, C. K., & Mandal, M. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.896633 · Cited by 4

Artificial Intelligence in Drug Discovery and Delivery: Advancements and Applications

Mahjoub, M. A., & Sheikholislam, Z. (2023) · Journal of Biomedical Research & Environmental Sciences · doi:10.37871/jbres1778 · Cited by 5

Predicting Quality Medical Drug Data Towards Meaningful Data using Machine Learning

Al-Showarah, S., Al-Taie, A., Salman, H. E., Alzyadat, W., & Alkhalaileh, M. S. (2023) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2023.01408114 · Cited by 3

The Role of Artificial Intelligence and Machine Learning for the Fight Against COVID-19

Iglesias, A., Gálvez, A., & Suárez, P. (2023) · Springer optimization and its applications · doi:10.1007/978-3-031-33183-1_7 · Cited by 3

AI Powered Identification of Drug Targets and Pathways for Diagnosis and Treatment Planning: A Review

Sharma, A. (2023) · Nanomedicine & Nanotechnology Open Access · doi:10.23880/nnoa-16000232 · Cited by 3

Development Strategies for Artificial Intelligence and Robotics in Medicine

Han, X., Zhu, X., Jiang, Y., He, D., Liu, W., Duan, X., & Tian, W. Q. (2023) · Strategic Study of CAE · doi:10.15302/j-sscae-2023.07.031 · Cited by 3

Role of Artificial Intelligence in Drug Discovery to Revolutionize the Pharmaceutical Industry: Resources, Methods and Applications

Singh, P. K., Sachan, K., Khandelwal, V., Singh, S., & Singh, S. (2024) · Recent Patents on Biotechnology · doi:10.2174/0118722083297406240313090140 · Cited by 3

Applications of Artificial Intelligence in Pharmaceutical Research: An Extensive Review

Nihalani, G., & Pawar, H. A. (2024) · Bioequivalence & Bioavailability International Journal · doi:10.23880/beba-16000231 · Cited by 3

Revolutionizing Drug Discovery: The Role of Artificial Intelligence

Shah, B. (2023) · International Journal of Science and Research (IJSR) · doi:10.21275/sr231219092956 · Cited by 3

A Review on Artificial Intelligence in Pharmacy

Mahajan, B. S., Mahale, B. S. P., Pawar, A. R., Patil, V. V., Patil, P. S., & Songire, J. (2024) · Research Journal of Science and Technology · doi:10.52711/2349-2988.2024.00020 · Cited by 4

B-cell epitope peptide immunotherapy alleviates chitin-binding protein-induced type 2 airway inflammation in a Blomia tropicalis-murine model

Zhang, J., Luo, W., Cui, Y., & Sun, B. (2025) · Respiratory Research · doi:10.1186/s12931-025-03207-8 · Cited by 3

Advancements and implications of artificial intelligence for early detection, diagnosis and tailored treatment of cancer

Chadha, S., Mukherjee, S., & Sanyal, S. (2025) · Seminars in Oncology · doi:10.1016/j.seminoncol.2025.152349 · Cited by 6

Investigating ACL length, strain and tensile force in high impact and daily activities through machine learning

Roldán, E., Reeves, N. D., Cooper, G., & Andrews, K. D. (2025) · Computer Methods in Biomechanics & Biomedical Engineering · doi:10.1080/10255842.2025.2551846 · Cited by 4

Key points to succeed in Artificial Intelligence drug discovery projects

Perron, Q., da Silva, V. B. R., Atwood, B. R., & Gaston‐Mathé, Y. (2022) · Chemistry International · doi:10.1515/ci-2022-0106 · Cited by 4

A Machine Learning Language to Build a QSAR Model of Pyrazoline Derivative Inhibitors Targeting Mycobacterium tuberculosis Strain H37Rv

Prabha, T., Venkatesan, J., Selvaraj, J., Jayapalan, S., & Sivakumar, T. (2022) · Letters in Drug Design & Discovery · doi:10.2174/1570180819666220420092723 · Cited by 3

Role of Biomarkers in Personalized Medicine

Islam, S. U., Ahmed, M. B., Ahsan, H., & Lee, Y. S. (2022) · Springer eBooks · doi:10.1007/978-981-16-5759-7_10 · Cited by 4

Multiple Sclerosis - Genetics, Disease Mechanisms and Clinical Developments

Kishore, U., & Shastri, A. (2022) · IntechOpen eBooks · doi:10.5772/intechopen.98110 · Cited by 3

Artificial Intelligence Implications in Engineering and Production

Tiwari, S. (2022) · International Electronic Conference on Applied Sciences (ASEC) · doi:10.3390/asec2022-13823 · Cited by 4

Artificial intelligence in healthcare

Argenson, A., & Devi-Chou, V. (2023) · Principles of Gender-Specific Medicine · doi:10.1016/b978-0-323-88534-8.00025-0 · Cited by 3

Patients’ Reactions to Anthropomorphic Technologies in Healthcare. The Predictor Roles of Perceived Anthropomorphism and Human-Like Interaction: A Preliminarily Study

Sestino, A., & D’Angelo, A. (2023) · Springer eBooks · doi:10.1007/978-3-031-32614-1_17 · Cited by 3

AI-Enabled Healthcare Service

Das, D. R., Satpathy, I., & Patnaik, B. C. M. (2023) · Advances in medical technologies and clinical practice book series · doi:10.4018/979-8-3693-0876-9.ch007 · Cited by 3

Artificial Intelligence (AI) and Machine Learning (ML): An Innovative Cross-Talk Perspective and Their Role in the Healthcare Industry

Sharma, R., Gulati, A., & Chopra, K. (2023) · Springer eBooks · doi:10.1007/978-981-99-6472-7_2 · Cited by 4

A Review on Artificial Intellegence in Drug Discovery & Pharmaceutical Industry

Laddha, C. S., Shelke, A., Vaidya, Y. V., Sheikh, A. A., & Biyani, K. R. (2023) · Asian Journal of Pharmaceutical Research and Development · doi:10.22270/ajprd.v11i3.1252 · Cited by 3

Artificial intelligence applications in disease diagnosis and treatment: recent progress and outlook

Goswami, M., Sachan, P., & Goswami, K. (2023) · Research in Pharmacy · doi:10.25081/rip.2023.v13.8632 · Cited by 3

Computational Approaches for the Inhibition of ESKAPE Pathogens

Pattnaik, S., Mishra, M., & Naik, P. K. (2024) · Springer eBooks · doi:10.1007/978-981-99-8799-3_19 · Cited by 3

Consumer Perspectives for Purchase Intentions of Online Pharmacy Products Using Deep Learning

Chatterjee, J., Neogi, S. G., Dwivedi, R. K., & Vashisht, A. (2024) · International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) · doi:10.1109/icrito61523.2024.10522354 · Cited by 4

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

Kazi, A. J., Gurav Mohini, A., Patil, S. R., Ritthe, P. V., Rudrurkar, M. N., Dharashive, V. M., & Shafi, D. S. (2024) · Asian Journal of Pharmaceutical Research and Development

A REVIEW ON "RECENT AI CONVERGENCE IN DRUG DEVELOPMENT AND SAURABH'S RECENT APPLICATION

Saurabh Hatzade1*, V. C. (2025) · World Journal of Pharmacy and Pharmaceutical Sciences · doi:10.5281/zenodo.17538832

Future prospective of AI in drug discovery

Bhowmick, M., Goswami, S., Bhowmick, P., Hait, S., Rath, D., & Yasmin, S. (2025) · Advances in pharmacology · doi:10.1016/bs.apha.2025.01.009 · Cited by 4

Accelerating Drug Discovery and Development: Harnessing AI for Enhanced Efficiency and Speed

Sajithabanu, S., Ramachandran, M. S., Anand, A. J., & Samundeeswari, K. (2026) · Springer eBooks · doi:10.1007/978-3-032-23626-5_13

The future of pharmaceuticals: Artificial intelligence in drug discovery and development

Fu, C., & Chen, Q. (2025) · Journal of Pharmaceutical Analysis · doi:10.1016/j.jpha.2025.101248 · Cited by 151