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https://www.amazon.science/blog/customized-amazon-nova-models-improve-molecular-property-prediction-in-drug-discovery Customized Amazon Nova models improve molecular-property prediction in drug discovery - Amazon... Apr 24, 2026 - A single, optimized LLM unifies what previously required multiple models and can serve as a reasoning partner for medical chemists. amazon nova molecular property customized models improve https://pmc.ncbi.nlm.nih.gov/articles/PMC12574261/ Enhancing molecular property prediction through data integration and consistency assessment - PMC Data heterogeneity and distributional misalignments pose critical challenges for machine learning models, often compromising predictive accuracy. These... molecular property data integration enhancing prediction https://arxiv.org/abs/1906.11081 [1906.11081] Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective Abstract page for arXiv paper 1906.11081: Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective molecular property 1906 11081 prediction https://deepai.org/publication/tyger-task-type-generic-active-learning-for-molecular-property-prediction Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction | DeepAI May 23, 2022 - 05/23/22 - How to accurately predict the properties of molecules is an essential problem in AI-driven drug discovery, which generally require... active learning molecular property tyger task type https://openreview.net/forum?id=yVLGEnHSEU&referrer=%5Bthe%20profile%20of%20Kristin%20Schmidt%5D(%2Fprofile%3Fid%3D~Kristin_Schmidt1) Beyond Chemical Language: A Multimodal Approach to Enhance Molecular Property Prediction |... We present a novel multimodal language model approach for predicting molecular properties by combining chemical language representation with physicochemical... molecular property beyond chemical language multimodal https://openreview.net/forum?id=dnRSxTNIvjK Jointly Modelling Uncertainty and Diversity for Active Molecular Property Prediction | OpenReview We propose a novel AL method that jointly models uncertainty and diversity without the trade-off hyperparameters. molecular property jointly modelling uncertainty diversity https://arxiv.org/abs/2208.04852v1 [2208.04852v1] Graph neural networks for the prediction of molecular structure-property... Abstract page for arXiv paper 2208.04852v1: Graph neural networks for the prediction of molecular structure-property relationships graph neural networks for the