Results 251 to 260 of about 165,863 (317)

Comparative efficacy and safety of antiresorptive and anabolic therapies for male osteoporosis: an updated Bayesian network meta-analysis. [PDF]

Front Endocrinol (Lausanne)
Li Z, Zhang L, Xue C, Lu C, Wang L.
europepmc   +1 more source

Bayesian networks

, 2011
openaire   +2 more sources

Uncertainty‐Guided Selective Adaptation Enables Cross‐Platform Predictive Fluorescence Microscopy

Advanced Intelligent Discovery, EarlyView.
Deep learning models often fail when transferred to new microscopes. A novel framework overcomes this by selectively adapting the early layers governing low‐level image statistics, while freezing deep layers that encode morphology. This uncertainty‐guided approach enables robust, label‐free virtual staining across diverse systems, democratizing ...
Kai‐Wen K. Yang, Andrew Bai, Alexandra Bermudez, Yunqi Hong, Zoe Latham, Iris Sloan, Michael Liu, Vishrut Goyal, Cho‐Jui Hsieh, Neil Y. C. Lin   +9 more
wiley   +1 more source

Initial management strategies for right-sided malignant colonic obstruction: a systematic review and bayesian network meta-analysis. [PDF]

World J Surg Oncol
Kitaguchi D, Forgione A, Innocenzi C, Yang Y, Schulze FE, Dox I, Giménez M, Oda T, Marescaux J.   +8 more
europepmc   +1 more source

Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics

Advanced Intelligent Discovery, EarlyView.
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha, Jesus Gil, Pedro J. Ballester   +2 more
wiley   +1 more source

Construction of a Bayesian network-based risk prediction model for hepatocellular carcinoma in cirrhotic patients. [PDF]

Front Oncol
Ma N, Song J, Yang Y.
europepmc   +1 more source

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

Advanced Intelligent Discovery, EarlyView.
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, Kazuki Ishizaki, Ryo Fukasawa   +2 more
wiley   +1 more source

Reshaping the therapeutic landscape of IgA nephropathy: a Bayesian network meta-analysis on the comparative efficacy and safety of immunosuppressants and targeted agents. [PDF]

BMC Nephrol
Chen R, Zhang J, Chen J, Xie T, Xu Y, Hu Z, Chen J.   +6 more
europepmc   +1 more source

Generative and Experimental Validation of High Refractive Index Polymers via Domain Knowledge Approach with Small Data

Advanced Intelligent Discovery, EarlyView.
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, Seigo Watanabe, Hana Matsunaga, Kenichi Oyaizu   +3 more
wiley   +1 more source

Comparison of the effects of different types of nasointestinal tube placement techniques for ICU patients: a Bayesian network meta-analysis. [PDF]

BMC Anesthesiol
Li P, Peng J, He M, Wang L, Lu X, Liu X, Wu S.   +6 more
europepmc   +1 more source