From machine learning to deep learning: progress in machine intelligence for rational drug discovery

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AI-Driven Discovery of Highly Specific and Efficacious hCES2A Inhibitors for Ameliorating Irinotecan-Triggered Gut Toxicity

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Processing Method of Missing Data in Dam Safety Monitoring

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Stroke Prediction Using Deep Learning and Transfer Learning Approaches

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Novel Big Data Approach for Drug Prediction in Health Care Systems

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LUNAR :Drug Screening for Novel Coronavirus Based on Representation Learning Graph Convolutional Network

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Neural Networks in Drug Discovery: Current Insights from Medicinal Chemists

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Role of Transcriptomics and Artificial Intelligence Approaches for the Selection of Bioactive Compounds

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Impact of IoT in Biomedical Applications Using Machine and Deep Learning

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Artificial intelligence‐driven anticancer peptide discovery

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Physics-informed data-driven constitutive modeling of compressible, nonlinear soft materials under multiaxial cyclic loading

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Is There a Role of Artificial Intelligence in Preclinical Imaging?

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The Revolutionary Role of Artificial Intelligence (AI) in Pharmaceutical Sciences

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Hyperparameter optimization and neural architecture search algorithms for graph Neural Networks in cheminformatics

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Exploring the potential of machine learning in gastric cancer: prognostic biomarkers, subtyping, and stratification

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Deep Learning-Based Speech Enhancement for Robust Sound Classification in Security Systems

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Using Artificial Neural Networks to Predict Intra-Abdominal Abscess Risk Post-Appendectomy

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A fine-tuned YOLOv5 deep learning approach for real-time house number detection

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Machine learning-based QSAR Models to Predict Sodium Ion Channel (Na v 1.5) Blockers

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Origin–Destination Matrix Estimation and Prediction from Socioeconomic Variables Using Automatic Feature Selection Procedure-Based Machine Learning Model

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Drug Discovery With XAI Using Deep Learning

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Predictive Analysis of Absenteeism in MNCS Using Machine Learning Algorithm

Tewari, K., Vandita, S., & Jain, S. (2019) · Lecture notes in electrical engineering · doi:10.1007/978-3-030-29407-6_1 · Cited by 10

Release modeling of nanoencapsulated food ingredients by artificial intelligence algorithms

Djuriš, J., Vidović, B. B., & Ibric, S. R. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-815665-0.00009-6 · Cited by 10

Big Data Classification: Applications and Challenges

Pramanik, P. K. D., Mukhopadhyay, M., & Pal, S. (2021) · Studies in big data · doi:10.1007/978-981-33-6400-4_4 · Cited by 9

Predicting New Anti-Norovirus Inhibitor With the Help of Machine Learning Algorithms and Molecular Dynamics Simulation–Based Model

Ebenezer, O., Damoyi, N. E., & Shapi, M. (2021) · Frontiers in Chemistry · doi:10.3389/fchem.2021.753427 · Cited by 9

Dealing with a data-limited regime: Combining transfer learning and transformer attention mechanism to increase aqueous solubility prediction performance

Wiercioch, M., & Kirchmair, J. (2021) · Artificial Intelligence in the Life Sciences · doi:10.1016/j.ailsci.2021.100021 · Cited by 10

Exhaustive local chemical space exploration usinga transformer modelPreprint

Tibo, A., He, J., Janet, J. P., Nittinger, E., & Engkvist, O. (2023) · ChemRxiv · doi:10.26434/chemrxiv-2023-v25xb · Cited by 7

A new diagnostic method for chronic obstructive pulmonary disease using the photoplethysmography signal and hybrid artificial intelligence

Melekoğlu, E., Kocabıçak, Ü., Uçar, M. K., Bílgín, C., Bozkurt, M. R., & Çunkaş, M. (2022) · PeerJ Computer Science · doi:10.7717/peerj-cs.1188 · Cited by 11

Artificial Intelligence Approaches for Rational Drug Design and Discovery

Duch, W., Swaminathan, K., & Meller, J. (2007) · Current Pharmaceutical Design · doi:10.2174/138161207780765954 · Cited by 249

A Systematic Literature Review of the Current Status and Future Prospects of Machine Learning Methods and Techniques Applied to Novel Drug Discovery

Abdelkrim, A., Bouramoul, A., & Zenbout, I. (2022) · International Journal of Organizational and Collective Intelligence · doi:10.4018/ijoci.312223 · Cited by 3

Aprendizado de Máquina Aplicado à Descoberta de Fármacos

Machado, K., Werhli, A. V., Kremer, F. S., & Borges, R. J. (2026) · doi:10.5753/sbc.19670.4.6

Drug Discovery Using Machine Learning and Data Analysis

Pali, P., Jain, A., Kyadarkunte, P., Patil, S., Jais, S., Nasare, R. K., & Chhabria, S. (2022) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2022.47504 · Cited by 3

New-Generation Drug Discovery using Machine Learning

Gupta, N., & Khobragade, P. (2023) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2023.52112