Results 151 to 160 of about 206,039 (334)

Empirical Bayes Estimation and Prediction Using Summary-Level Information From External Big Data Sources Adjusting for Violations of Transportability. [PDF]

Stat Biosci, 2018
Estes JP, Mukherjee B, Taylor JMG.
europepmc   +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

Empirical Bayes Estimation of Coalescence Times from Nucleotide Sequence Data. [PDF]

Genetics, 2016
King L, Wakeley J.
europepmc   +1 more source

Using Empirical Bayes Estimation Approach to Quantify the Abnormality of Traffic Conditions During the Covid-19 Pandemic

, 2023
Tumlumbe Juliana Chengula, Judith Mwakalonge, Gurcan Comert, Saidi Siuhi, Judy Perkins   +4 more
openalex   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Statistical interactions and Bayes estimation of log odds in case-control studies. [PDF]

Stat Methods Med Res, 2017
Satagopan JM, Olson SH, Elston RC.
europepmc   +1 more source

Estimation Of Juvenile Striped Bass Relative Abundance In The Virginia Portion Of Chesapeake Bay, January 1995-December 1995 : Annual Progress Report

, 2019
Herbert M. Austin
openalex   +2 more sources

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

Advanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He, Martin Singull, T. Jesper Jacobsson   +2 more
wiley   +1 more source

Estimation of Ingestion Rate as Nitrogen and Factors Creating its Seasonal Changes in Ruditapes philippinarum Population in Banzu Tidal Flat, Tokyo Bay.

, 1998
Ryosuke Isono
openalex   +2 more sources

Disentangling Aleatoric and Epistemic Uncertainty in Physics‐Informed Neural Networks: Application to Insulation Material Degradation Prognostics

Advanced Intelligent Systems, EarlyView.
Physics‐Informed Neural Networks (PINNs) provide a framework for integrating physical laws with data. However, their application to Prognostics and Health Management (PHM) remains constrained by the limited uncertainty quantification (UQ) capabilities.
Ibai Ramirez, Jokin Alcibar, Joel Pino, Mikel Sanz, Jose I. Aizpurua   +4 more
wiley   +1 more source