Results 201 to 210 of about 1,206,985 (356)

Transforming Biomedical Informatics and Health Information Access: Don Lindberg and the U.S. National Library of Medicine

, 2022
Humphreys, Betsy L., Logan, Robert A., Miller, Randolph A., Siegel, Elliot R.   +3 more
openalex   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

Clinical scientist in clinical bioinformatics - the under-implemented recommendation of the Topol Review? [PDF]

Future Healthc J
Pruski M.
europepmc   +1 more source

Informaticity: Towards a Comprehensive Framework for Information Systems

Silvio Meira
openalex   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Why do intensive care units in countries without board-certified clinical informatics specialists risk falling behind in the Artificial Intelligence era? [PDF]

Crit Care Sci
Deliberato RO, Tachinardi U, Mendonça EA.   +2 more
europepmc   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Correction: Fermentation bed farming improves behavioral expression and stress resistance in geese. [PDF]

Front Vet Sci
Li H, Yang J, Zhang J, Zhao L, Zhou T, Chen H, Li J, Zhao S, Yin G.   +8 more
europepmc   +1 more source

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

Advanced Intelligent Discovery, EarlyView.
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez, Cibrán López, Edgardo Saucedo, Teruyasu Mizoguchi, Claudio Cazorla   +4 more
wiley   +1 more source

A data-driven method for research trend analysis in a scientific discipline: Application to the journal of biomedical informatics. [PDF]

J Biomed Inform
Fang Y, Zhang G, Tejada SS, Chen F, Shortliffe E, Patel VL, Peleg M, Weng C.   +7 more
europepmc   +1 more source