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3. Computational Models Using Multiple Machine Learning Algorithms for Predicting Drug Hepatotoxicity with the DILIrank Dataset
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4. Virtual Screening of C. Sativa Constituents for the Identification of Selective Ligands for Cannabinoid Receptor 2
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5. In silico prediction of chemical-induced hematotoxicity with machine learning and deep learning methods
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6. The Challenging Melanoma Landscape: From Early Drug Discovery to Clinical Approval
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7. Artificial Intelligence in Translational Medicine
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8. Melanoma in patients with Li‑Fraumeni syndrome (Review)
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9. In Silico Prediction and Insights Into the Structural Basis of Drug Induced Nephrotoxicity
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10. Machine Learning Models for Predicting Liver Toxicity
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11. Artificial Intelligence, Big Data and Machine Learning Approaches in Precision Medicine & Drug Discovery
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12. QSAR and Molecular Docking Studies of Pyrimidine-Coumarin-Triazole Conjugates as Prospective Anti-Breast Cancer Agents
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13. Graph-Based Feature Selection Approach for Molecular Activity Prediction
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14. Boosting the Accuracy and Chemical Space Coverage of the Detection of Small Colloidal Aggregating Molecules Using the BAD Molecule Filter
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