Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
Dynamic Bayesian Networks, Elicitation, and Data Embedding for Secure Environments. [PDF]
Drury K, Smith JQ.
europepmc +1 more source
This research demonstrates that the combination of domain knowledge–based multiple regression, multi‐objective Bayesian optimization, and generative models is a suitable prediction tool for candidates of high refractive index polymers, even with the constraints in the model trained on limited data. The experimental validation can reproduce the proposed
Takuya Yokoo +3 more
wiley +1 more source
Behavioral Analysis of Postgraduate Education Satisfaction: Unveiling Key Influencing Factors with Bayesian Networks and Feature Importance. [PDF]
Li S, Wang T, Yin H, Ding S, Cai Z.
europepmc +1 more source
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang +9 more
wiley +1 more source
Acute Myeloid Leukemia Genome Characterization Study and Subtype Classification Employing Feature Selection and Bayesian Networks. [PDF]
Li Z, Li J, Li S, Wang Y, Wang J.
europepmc +1 more source
Clinicopathological characteristics associated with intrapulmonary metastasis rather than single primary lung cancer at first diagnosis: a study based on the Surveillance, Epidemiology, and End Results database using Bayesian networks and structural equation modeling. [PDF]
Liu W +6 more
europepmc +1 more source
Application of Elastic networks and Bayesian networks to explore influencing factors associated with arthritis in middle-aged and older adults in the Chinese community. [PDF]
Zhong T +7 more
europepmc +1 more source
Understanding Factors Influencing HIV pre-exposure prophylaxis adherence among men who have sex with men in Western China: a data-driven exploration using bayesian networks. [PDF]
Wang Q +5 more
europepmc +1 more source

