Latest Research in Machine Learning
16 research papers · 2026 median publication year
Top Research Topics in Machine Learning
- Computational Drug Discovery Methods — 5 papers
- Machine Learning — 2 papers
- Data Analysis with R — 1 papers
- Hematopoietic Stem Cell Transplantation — 1 papers
- Traditional Chinese Medicine Studies — 1 papers
- Advanced NMR Techniques and Applications — 1 papers
- Estrogen and related hormone effects — 1 papers
- Drug-Induced Hepatotoxicity and Protection — 1 papers
- Phytochemistry and Biological Activities — 1 papers
- Metabolomics and Mass Spectrometry Studies — 1 papers
Highest-Cited Papers
- Bridging Nature, Data, and Artificial Intelligence: An Interdisciplinary Approach for Natural Products Discovery
- What survives? Semantic eligibility, distribution shift and metric interpretation in external validation of ADMET predictors
- Chromatograms: A Modular Infrastructure for Scalable Chromatographic Data Handling in R
- From Therapeutic Drug Monitoring to Model-Informed Precision Dosing: A Review of Busulfan Dosing Optimization in Pediatric Hematopoietic Stem Cell Transplantation
- Multi-Endpoint Prediction of Bioactivity and ADMET Properties Coupled with Multi-Objective Optimization in Molecular Descriptor Space for Candidate ERα Antagonists
- Multi-hypergraph convolutional neural network for herb recommendation
- Phosphorus-31 Spin: Quantum Coherence Candidate Lacking Brain Evidence — E8 Intelligence Research
- Computer-aided drug design of quinoxaline based selective oestrogen receptor α modulators for breast cancer therapy: molecular docking, MD simulation, MM-PBSA and ADME/T analysis
- AI‐enabled engineering of hesperidin/ursodeoxycholic acid nanomedicine for synergistic treatment of drug‐induced liver injury
- FROM EMPIRICAL HERBAL MEDICINE TO PREDICTIVE THERAPEUTICS: THE ROLE OF AI AND MULTI-OMICS
- ToxLens: A Reproducible Graph-Learning Framework for Leakage-Aware, Uncertainty-Calibrated Molecular Toxicity Prediction
- Comparative Phytochemical and Antiviral Characteristics of Dipsacus asperoides and Phlomis umbrosa Against Influenza A Virus: LC-QTOF-MS Profiling and Exploratory Network Pharmacology
- Personalized Treatment Outcome Prediction from Scarce Data via Dual-Channel Knowledge Distillation and Adaptive Fusion
- Multitask learning in predictive toxicology: methods, benchmarks, and applications
- Metabodeconplus—An R Package for Automated Deconvolution and Alignment of 1D NMR Metabolomics Data
- Computational Prediction of the Severity of Adverse Drug Reactions Caused by Drug–Drug Interactions