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

Integration of artificial intelligence applications in clinical pharmacy services: A scoping review

Al‐Taie, A., Abdullah, A. S., & Arueyingho, O. (2026) · Future Healthcare Journal · doi:10.1016/j.fhj.2026.100547 · Cited by 1

Artificial Intelligence and Natural Photosensitizer-Based Nanopharmaceuticals in Photodynamic Therapy: Advanced Modeling, Data-Driven Optimization, and Translational Perspectives

Gonçalves, R. S., & Costa, E. V. (2026) · Pharmaceutics · doi:10.3390/pharmaceutics18080921 · Cited by 1

Solar irradiance forecasting meta-review: An in-depth systematic meta-review on solar irradiance forecasting datasets, predictive pipelines and performance

Mehmood, F., Asim, M. N., Mehmood, A., Mahmood, W., Vollmer, S. J., Haq, M. U., Ali, F., & Dengel, A. R. (2026) · Results in Engineering · doi:10.1016/j.rineng.2026.112449 · Cited by 2

A comprehensive narrative review of artificial intelligence applications in drug discovery and pharmaceutical practice

Raj, A., Hasan, M., & Shahadat, S. B. (2026) · Journal of Pharmaceutical Analysis · doi:10.1016/j.jpha.2026.101783 · Cited by 1

Artificial intelligence in healthcare

Shah, Y., Soni, S., & Patel, M. P. (2021) · Indian Journal of Pharmacy and Pharmacology · doi:10.18231/j.ijpp.2021.018 · Cited by 2

Advanced Technologies in Health and Neurodegenerative Diseases

Naziris, N., & Demetzos, C. (2021) · Springer eBooks · doi:10.1007/978-3-319-75479-6_37-1 · Cited by 1

Drug Combinations

Shyr, Z. A., Cheng, Y., & Zheng, W. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-820472-6.00058-x · Cited by 1

Advances in drug development with the application of artificial intelligence

Leite, M. S., de Jesus, A. A., Araújo, P. J. L., & dos Santos, B. F. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-822248-5.00014-0 · Cited by 1

Reformation of the Healthcare Sector With Innovation and Entrepreneurial Approaches

Yadav, S. S., Mazumder, S. S., Arora, N., Santoshi, S., & Chauhan, V. (2022) · Advances in medical technologies and clinical practice book series · doi:10.4018/978-1-6684-2508-4.ch011 · Cited by 1

Digital Infrastructure and Applications for Smart Cities and Societies—Role of Artificial Intelligence

Deshmukh, R., & Pasumarti, S. S. (2023) · Lecture notes in networks and systems · doi:10.1007/978-981-99-0769-4_48 · Cited by 1

Artificial neural network–based inference of drug–target interactions

Melamane, S., Mandava, T. T., Manda, A., Luphade, L. N., Khamanga, S. M., Makoni, P. A., Demana, P. H., Matafwali, S. K., & Witika, B. A. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-91763-6.00015-1 · Cited by 2

A Conceptual Framework for Impact of Artificial Intelligence and Machine Learning (AIML) in Drug Development Within Pharmaceutical Industry

Belsare, M. H., & Burušić, J. (2023) · Springer eBooks · doi:10.1007/978-981-99-2909-2_17 · Cited by 1

Artificial Intelligence in Phycochemicals Recognition

Dullius, A., Buffon, G., Faria, M., & Giuliatti, S. (2023) · Springer eBooks · doi:10.1007/978-3-031-42026-9_5 · Cited by 1

A REVIEW ON INTEGRATING ARTIFICIAL INTELLIGENCE INTO DRUG DEVELOPMENT: REVOLUTIONIZING THE PHARMACEUTICAL LANDSCAPE

Vrushant, O., Prajapati, A. P., Patel, M. B. S., Narkhede, S. B., & Luhar, S. (2023) · EPRA International Journal of Research & Development (IJRD) · doi:10.36713/epra15249 · Cited by 1

Artificial Intelligence in Pharmaceutical Industry

Bodade, S. M., Mam, N. B., Deshmukh, D. S., Khedkar, S., & Hire, M. (2023) · International Journal of Advanced Research in Science Communication and Technology · doi:10.48175/ijarsct-14346 · Cited by 1

AI-based Virtual Screening of Traditional Chinese Medicine and the Discovery of Novel Inhibitors of TCTP

Bai, J., Ni, Y., Zhang, Y., Wan, J., Liang, L., Qiao, H., Zhu, Y., Zhao, Q., & Li, H. (2024) · Current Computer - Aided Drug Design · doi:10.2174/0115734099277605231218071503 · Cited by 1

Potential of Artificial Intelligence in Healthcare Sector

Khurana, S., Malik, A., Narwal, S., Agarwal, G., & Sangwan, K. (2024) · International Conference on Computational Intelligence and Computing Applications (ICCICA) · doi:10.1109/iccica60014.2024.10584926 · Cited by 1

Consumer Perspectives for Purchase Intentions of Online Pharmacy Products Using Generative Artificial Intelligence

Chatterjee, J., Neogi, S. G., & Saraswat, S. (2024) · Lecture notes in networks and systems · doi:10.1007/978-981-97-2550-2_26 · Cited by 1

Reflections on “Can AI Understand Our Universe?”

Wang, Y. (2024) · International Journal of Modern Physics D · doi:10.1142/s0218271825400103 · Cited by 1

Comprehensive study of Biginelli's compounds show antibacterial activity against Vibrio parahaemolyticus of two strains: In vitro and computational approaches

Paringamalai, N., Tajudeen, S. S., Ibrahim, A. M., Ahmed, J., Ramalingam, K., & Vijayakumar, S. (2024) · Microbial Pathogenesis · doi:10.1016/j.micpath.2024.107213 · Cited by 1

Revolutionizing Drug Development: Harnessing Artificial Intelligence in Pharmaceutical Sciences

Roy, S. P., Kadiri, S. K., Bhowmik, S., Patel, V., Deb, L., & Tiwari, P. K. (2025) · Current Drug Discovery Technologies · doi:10.2174/0115701638343448250207053913 · Cited by 2

Use of Molecular Modelling Techniques in Antibody–Drug Conjugate (ADC) Payload Discovery and Development

Jackson, P. J., & Thurston, D. E. (2019) · Royal Society of Chemistry eBooks · doi:10.1039/9781788012898-00057 · Cited by 1

Translational science: Key features, issues and future perspectives

Kurebayashi, Y. (2019) · Translational and Regulatory Sciences · doi:10.33611/trs.1_1 · Cited by 1

Personalized biomedicine in cancer: from traditional therapy to sustainable healthcare

Ulu, G. T., Kiraz, Y., & Baran, Y. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-819541-3.00022-0 · Cited by 1

Artificial Intelligence-Enabled Prognosis Technologies for SARS-CoV-2/COVID-19

Mishra, A. B., Shukla, D., Aich, S., Singh, R., Mishra, S., Roy, B., Singh, P. P., Mishra, A., & Saxena, S. K. (2021) · Medical virology · doi:10.1007/978-981-15-7317-0_9 · Cited by 1

Analysis of floor stability in underground coal mines

Santos, C. A. (1988) · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · Cited by 1

Artificial Intelligence Technologies – Helping the Fight Against COVID-19 (Vol. 24, No. 10, Full Issue)

(2020) · Asia-Pacific Biotech News · doi:10.1142/s021903032000110x · Cited by 1

Integrative Bioinformatics: History and Perspective

Chen, M., Hofestädt, R., & Taubert, J. (2022) · Springer eBooks · doi:10.1007/978-981-16-6795-4_1 · Cited by 1

A Review on an Artificial Intelligence Based Ophthalmic Application

Kothandan, S., Radhakrishnan, A., & Kuppusamy, G. (2022) · Current Pharmaceutical Design · doi:10.2174/1381612828666220520112240 · Cited by 1

Artificial Intelligence and Machine Learning Approach towards COVID-19

Chavali, M. S. (2020) · Nanomedicine & Nanotechnology Open Access · doi:10.23880/nnoa-16000201 · Cited by 1

ARTIFICIAL INTELLIGENCE - REVOLUTIONIZING CLINICAL TRIAL PROCESS

(2022) · International Journal of Biology Pharmacy and Allied Sciences · doi:10.31032/ijbpas/2022/11.12.6545 · Cited by 1

An Optimized Cloud Computing Method for Extracting Molecular Descriptors

Didachos, C., Kintos, D.-P., Fousteris, M. A., Phivos Mylonas, B., & Kanavos, A. (2023) · Advances in experimental medicine and biology · doi:10.1007/978-3-031-31982-2_28 · Cited by 1

Applications of Artificial Intelligence in Pharmaceutical Industries

Choudhary, H., Sharma, A., & Ahuja, D. (2023) · International Journal of Pharmaceutical Sciences Review and Research · doi:10.47583/ijpsrr.2023.v81i01.027 · Cited by 1

Drug Repurposing Using Computational Tools and Preventive Strategies for COVID-19 and Future Pandemics

Rathore, S., & Dahiya, P. (2024) · Journal of Health Management · doi:10.1177/09720634241278878 · Cited by 1

Artificial Intelligence Technologies in Healthcare

Bayğın, M. (2025) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-83549-676-320251004 · Cited by 1

The Next Big Developments – The Lab of the Future

Shute, R. E., & Lynch, N. (2021) · Wiley eBooks · doi:10.1002/9783527825042.ch1 · Cited by 1

Role of Medical Image Analysis in Oncology

Kaur, G., Hardik, G., Heena, K., Singh, L., Kaur, N., Kumar, S., & Alam, S. (2021) · doi:10.1002/9781119711278.ch12 · Cited by 1

In Silico Design and Selection of CD44 Antagonists

Ruiz-Moreno, A. J. (2021) · University of Groningen research database (University of Groningen / Centre for Information Technology) · doi:10.33612/diss.193912062 · Cited by 1

QPoweredTarget2DeNovoDrugPropMax : a novel programmatic tool incorporating deep learning and in silico methods for automated de novo drug design for any target of interestPreprint

S, B. G. A., Madaj, R., Valluri, P. P., & Sanker, A. (2021) · doi:10.31219/osf.io/b8y79 · Cited by 1

Towards the development of machine learning models to predict protein-protein interaction modulatorsPreprint

Díaz‐Eufracio, B. I., & Medina‐Franco, J. L. (2022) · ChemRxiv · doi:10.26434/chemrxiv-2022-jz75v · Cited by 1

Recent Advances in Drug Design With Machine Learning

Faisal, M. (2022) · Wiley eBooks · doi:10.1002/9781394167258.ch6 · Cited by 1

Artificial intelligence tools for optimizing recruitment and retention in clinical trials: a scoping review protocolPreprint

Lu, X., Chen, M., Lu, Z., Shi, X., & Liang, L. (2023) · Research Square · doi:10.21203/rs.3.rs-3217391/v1 · Cited by 1

Toward Out-of-Domain Binding Affinity PredictionPreprint

Zhao, Z., Fang, S., & Wang, H. (2023) · Research Square · doi:10.21203/rs.3.rs-3675013/v1 · Cited by 1

ClinMED-LLAMA3 A Large Model of Clinical Medicine Based on LLAMA3Preprint

Wei, M., & Liu, X. (2024) · Research Square · doi:10.21203/rs.3.rs-4703651/v1 · Cited by 1

La gestión de la cadena de valor en las ciencias de la vida: propuesta de modelo para estimar el valor añadido de los proyectos de biotecnología de la salud

Santos, O. O. (2024) · doi:10.4995/thesis/10251/207126 · Cited by 1

Special Issue “Drug Discovery and Application of New Technologies”

Hu, S., Li, Y., & Hu, L. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252111756 · Cited by 1

Resolving AI Value Paradox: Unlocking AI's Value Through Strategic Knowledge IntegrationPreprint

Gao, K., Son, Y., & Yoo, Y. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5019708 · Cited by 2

Modeling Protein-Ligand Interactions: Are We Ready for Deep Learning?

Rognan, D. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-801238-3.11521-1

Computational modelling and data analysis on the virulence of influenza viruses

Zhou, X. (2019) · doi:10.32657/10356/137781

AI-assisted inventions in the field of drug discovery: readjusting the obviousness analysis

Gurgula, O. (2020) · International Journal of Social Science and Public Policy · doi:10.33642/ijsspp.v2n8p2

Design and Develop a Web-application for Providing Pharmaceutical Product Leaflets Information

Al-Muhaisen, H., Alzuabi, A. F. F., Alshammari, H. A. A., Alghamdi, R. K. S., Tayfour, M. F., & Hawamdeh, E. A. (2020) · International Journal of Scientific Research in Science and Technology · doi:10.32628/ijsrst207319

Target2DeNovoDrugPropMax : a novel programmatic tool incorporating deep learning and in silico methods for automated de novo drug design for any target of interestPreprint

Madaj, R., S, B. G. A., Sanker, A., & Valluri, P. P. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.12.11.421768

N-of-1 trials: Implications for clinical practice and personalized clinical trials

Bradbury, J., & Mähler, M. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-820239-5.00008-5

AI-Driven Cross-Domain Knowledge Discoveryand Hypotheses Generation for Enhanced Earth System Predictability

Volkova, S., Hodas, N. O., & Scheibe, T. (2021) · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · doi:10.2172/1769670

INTELLIGENCE AND ACADEMIC ACHIEVEMENT IN MATHEMATICS AT UNIVERSITY LEVEL: A STUDY OF STUDENTS’ BELIEFS

Naz, S., Khan, M. I., Shah, S. A., & Qayyum, A. (2021) · Humanities & Social Sciences Reviews · doi:10.18510/hssr.2021.9238

Practical Applications of Artificial Intelligence for Disease Prognosis and Management

Chaurasia, A., Vats, S., Sengupta, A., Bansal, A., & Narad, P. (2021) · Springer eBooks · doi:10.1007/978-981-16-0811-7_1 · Cited by 1

Spotlight on Biotechnology: valuation challenges of early-stage companies. A case study on CRISPR Therapeutics AG and Allakos, Inc.Preprint

Montagna, D. M., Fino, E., Nocera, G., & Amendola, A. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3755675

Vpliv izobrazbene strukture razvojnega oddelka na uspešnost organizacije

Leskovec, F., & Černe, M. (2020) · Economic and business review · doi:10.15458/2335-4216.1031

An Overview of COVID-19 and the Potential Plant Harboured Secondary Metabolites against SARS-CoV-2: A Review

Swamy, C. T. (2021) · Journal of Pure and Applied Microbiology · doi:10.22207/jpam.15.3.52

LOE: principios generales y finalidades del sistema educativo

Nájera, P. M. U. (2006) · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)

Cardiovascular Applications of Artificial Intelligence in Research, Diagnosis, and Disease Management

Rajagopalan, V., & Cao, H. (2021) · Advances in computational intelligence and robotics book series · doi:10.4018/978-1-7998-8455-2.ch004

Novel Corona Virus (COVID-19): Current Strategies and Future Aspects

(2021) · Letters in Applied NanoBioScience · doi:10.33263/lianbs114.42014212

Target-less Drug Discovery Pipeline using Feature Driven Development (FDD) model

Chandra, R., Javed, M., Rajesh, B., Sanjeev, B. S., & Khijmatgar, S. (2021) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm52615.2021.9669585

Conclusions

Yadav, S. L., Dhaiya, R., & Bhatia, S. (2021) · Elsevier eBooks · doi:10.1016/b978-0-323-90959-4.00006-7

STROJOVÉ UČENÍ, UMĚLÁ INTELIGENCE A VĚDA O DATECH V BOJI S PANDEMIÍ COVID-19

Hendl, J. (2021) · Medsoft · doi:10.35191/medsoft_2021_1_33_11_13

Masthead - Full issue pdf

(2022) · Chemistry International · doi:10.1515/ci-2022-0100

Post COVID-19 Intelligent Public Healthcare Management

Bristy, A. T., Ferdousi, R., Hossain, A., Islam, M. M. F., Hossain, M. A., & Saddik, A. E. (2021) · IEEE Globecom Workshops (GC Wkshps) · doi:10.1109/gcwkshps52748.2021.9682056

Topical Repute on Artificial Intelligence-Based Approaches in COVID-19 Supervision

Basu, S., & Shafi, J. (2022) · Advances in medical technologies and clinical practice book series · doi:10.4018/978-1-6684-3791-9.ch008

Artificial Intelligence as a Putative Tool for Newer Drug Development Approach in Cancer Nanomedicine

Jain, P., Mohapatra, S., Hassan, N., Singh, M., Farooq, U., Mirza, M. A., & Iqbal, Z. (2022) · BENTHAM SCIENCE PUBLISHERS eBooks · doi:10.2174/9789815050561122010009

Artificial Intelligence and its Application in Cancer Nanomedicine

Mohanty, S., Acharya, S., & Mohanty, C. (2022) · BENTHAM SCIENCE PUBLISHERS eBooks · doi:10.2174/9789815050561122010006

Translating Data Science Results into Precision Oncology Decisions: A Mini Review

Capobianco, E., & Dominietto, M. D. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12020438

Data Mining and Machine Learning over HPC Approach Enhancing Antibody Conformations Prediction

Zanfack, D. R. G., Bellaiche, A., Etchebest, C., Dhiman, S. S., Gadhamshetty, V. R., Bomgni, A. B., & Gnimpiéba, E. Z. (2023) · ACS symposium series · doi:10.1021/bk-2023-1434.ch005

Intelligent Drug Design and Use for Cancer Treatment: The Roles of AI and Precision Oncology in Targeting Patient-Specific Splicing Profiles

Hull, R., Manabile, M. A., & Dlamini, Z. (2023) · Springer eBooks · doi:10.1007/978-3-031-21506-3_11

Artificial intelligence and machine learning in Leishmania drug discovery

Diéguez‐Santana, K., Mazón-Ortiz, G., Mejía, G. L. C., & Ruso, J. M. (2022) · MOL2NET International Conference on Multidisciplinary Sciences (MOL2NET) · doi:10.3390/mol2net-08-13888

Geometric and topological AI for molecular sciences

Wee, J. (2023) · DR-NTU (Nanyang Technological University) · doi:10.32657/10356/165903

The Emergence of a Pharma Repurposing Ecosystem: Evidence of a New Innovation Strategy?Preprint

Barlow, J. G., Andriani, P., & Spyridonidis, D. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4483037

Advanced Technologies in Health and Neurodegenerative Diseases

Naziris, N., & Demetzos, C. (2023) · Springer eBooks · doi:10.1007/978-3-319-75922-7_37

Inteligencia artificial en enfermedades infecciosas

Belloso, W. H., Pasterán, F. G., Burgos, V. L., Díaz, S. A., Ciabis, V., & Risk, M. R. (2023) · Actualizaciones en Sida e Infectología · doi:10.52226/revista.v31i112.209

Artificial Intelligence used in Pharmaceutical and Healthcare Industry: A Review

Goswami, S., & Singh, M. K. (2023) · International Journal of Advanced Research in Science Communication and Technology · doi:10.48175/ijarsct-12471 · Cited by 2

Ensemble Application of Fuzzy Multicellular Gene Expression by Programming Algorithm

Yuan, C. Q., Li, H., Zhang, Y., & Gong, D. (2023) · IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS) · doi:10.1109/ecbios57802.2023.10218445

AN OVERVIEW OF ARTIFICIAL INTELLIGENCE AS TOOL FOR DRUG DESIGN TO TREAT INFECTIOUS DISEASE

Astalakshmi, N., Keerthi Vasan, P., Harini, C., Parameshwari, B., Sridhar, R., Premkumar, N., Karthik, R., Kaviya, K., Sakthi, P., & Kumar, S. (2023) · Journal of Population and Therapeutics and Clinical Pharmacology · doi:10.53555/jptcp.v30i5.2635

Molecular docking studies on the interaction of phytocompounds exploring the antifungal potency against Candida spp.

George, S. A., & Bhadran, S. (2023) · doi:10.22192/ttdls.2023.007

Value Added Products from Mushroom – Need for the Hour

Pallavi, E., & Sheeba, E. (2023) · doi:10.22192/ttdls.2023.001

Role of diet and Nutrition in Enhancing sporting performance

Vijayanand, D. S. (2023) · doi:10.22192/ttdls.2023.008

Phytochemicals and their Functional Aspects

Ramojwar, J. (2023) · doi:10.22192/ttdls.2023.005

Nano bio-pesticides in sustainable agriculture

Deepa, V. H., & Prakash, N., V (2023) · doi:10.22192/ttdls.2023.006

A Molecular Approach of Signaling Molecules, Its Receptors and Their Responses

Dr. Malathi, R. (2023) · doi:10.22192/ttdls.2023.002

Bioplastics – A boon or curse

Deepa, V. H. (2023) · doi:10.22192/ttdls.2023.003

Medicinal potential of Fabaceae family members

Lama, S. (2023) · doi:10.22192/ttdls.2023.014

Application of Artificial Intelligence in Biochemistry

Inbavalli., K. (2023) · doi:10.22192/ttdls.2023.015

Detection of heavy metals in plants and its impact on environment

Babu, B. (2023) · doi:10.22192/ttdls.2023.012

Enhancing the Sustainability and Performance of Bio-Concrete: A Comprehensive Review of Microbial- Based Construction Materials

Ekanayake, A. K., Ekanayake, A. K., & Gupta, N. (2023) · doi:10.22192/ttdls.2023.009

Meeting the Unmet Challenges of Pharmaceutical Research Using Artificial Intelligence

Mehrotra, S., & Pathak, K. (2023) · Springer eBooks · doi:10.1007/978-981-99-2302-1_4

Customer Perception of AI Presence and Intention Toward AI-Recommended Products

Nghiêm-Phú, B. (2023) · doi:10.1109/icoict58202.2023.10262673

THE ERA OF ARTIFICIAL INTELLIGENCE AND BIG DATA: A PATHWAY TO PHARMA 4.0

(2023) · International Journal of Biology Pharmacy and Allied Sciences · doi:10.31032/ijbpas/2023/12.10.1018

Role of artificial intelligence in optimization of drug formulation

Rajan, J., Rajan, V., Sharma, R., & Sharma, R. K. (2023) · AIP conference proceedings · doi:10.1063/5.0143633

Design, synthesis, and in silico studies of novel di-(2-aryl hydrozonopropanal) arene derivatives as potent anticancer for targeting A2AR and LRP6 in HCT116 cell

Bakhsh, T., Saleh, T. S., Al-Saedi, D. A., & Al-Zaydi, K. M. (2023) · Medicinal Chemistry Research · doi:10.1007/s00044-023-03164-1

Predictive Modeling of Diseases with Explainable Artificial Intelligence Using LightGBM

Özdoğru, E. B., Santur, Y., & Ulaş, M. (2023) · International Journal of Advanced Natural Sciences and Engineering Researches · doi:10.59287/as-ijanser.10

How artificial intelligence is revolutionizing precision medicine and drug discovery?

Yousefi, A., Zandi, A., Shojaeian, F., Marzban, M. R., Tavakol, M. R., Abiri, H., Hojabri, M., Kaviani, G., & Pournezhad, S. (2023) · Iranian Journal of Blood and Cancer · doi:10.61186/ijbc.15.3.42

A COMPREHENSIVE REVIEW: EXPLORING ARTIFICIAL INTELLIGENCE IN DRUG DISCOVERY AND DEVELOPMENT

(2024) · International Research Journal of Modernization in Engineering Technology and Science · doi:10.56726/irjmets48342

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