Results 51 to 60 of about 15,886 (254)

Association between the insulin resistance and all-cause mortality in patients with moderate and severe aortic stenosis: a retrospective cohort study

open access: yesCardiovascular Diabetology, 2023
Background The triglyceride-glucose (TyG) index is a reliable surrogate marker of insulin resistance (IR). However, whether the TyG index has prognostic value in patients with moderate to severe aortic stenosis (AS) remains unclear.
Rihua Huang   +10 more
doaj   +1 more source

Penalized additive regression for space-time data: a Bayesian perspective [PDF]

open access: yes, 2003
We propose extensions of penalized spline generalized additive models for analysing space-time regression data and study them from a Bayesian perspective.
Fahrmeir, Ludwig   +2 more
core   +3 more sources

Maximal Associated Regression: A Nonlinear Extension to Least Angle Regression

open access: yesIEEE Access, 2021
This paper proposes Maximal Associated Regression (MAR), a novel algorithm that performs forward stage-wise regression by applying nonlinear transformations to fit predictor covariates.
Sanush K. Abeysekera   +3 more
doaj   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

A Novel 10‐Protein Score for Liver Fat Content Predicts Cardiovascular‐Kidney‐Metabolic Disease Risk

open access: yesAdvanced Science, EarlyView.
A novel 10‐protein plasma score precisely quantifies liver fat, outperforming the fatty liver index. It robustly predicts the risk of numerous cardiovascular‐kidney‐metabolic diseases and integrates with genetic data for precision prevention, offering a practical alternative to magnetic resonance imaging (MRI). Abstract Liver fat content (LFC) is a key
Xiaoqin Gan   +12 more
wiley   +1 more source

Semiparametric estimation for a class of time-inhomogenous diffusion processes [PDF]

open access: yes, 2009
Copyright @ 2009 Institute of Statistical Science, Academia SinicaWe develop two likelihood-based approaches to semiparametrically estimate a class of time-inhomogeneous diffusion processes: log penalized splines (P-splines) and the local log-linear ...
Li, M, Wang, H, Yu, K, Yu, Y
core  

Gradient matching methods for computational inference in mechanistic models for systems biology: a review and comparative analysis [PDF]

open access: yes, 2015
Parameter inference in mathematical models of biological pathways, expressed as coupled ordinary differential equations (ODEs), is a challenging problem in contemporary systems biology.
Husmeier, Dirk, Macdonald, Benn
core   +2 more sources

Competition Between Liquid‐Liquid Crystalline Phase Separation (LLCPS) and Liquid‐Liquid Phase Separation (LLPS) in Amyloid Fibril Colloidal Systems

open access: yesAdvanced Science, EarlyView.
This study shows that amyloid fibrils form nematic condensates via liquid–liquid crystalline phase separation (LLCPS). With increasing pH, this transition shifts toward disordered condensates formed through liquid–liquid phase separation (LLPS), in which birefringence with lack of a coherent nematic field symmetry originates from enthalpic fibril ...
Milad Radiom, Raffaele Mezzenga
wiley   +1 more source

Modeling perinatal mortality in twins via generalized additive mixed models: a comparison of estimation approaches

open access: yesBMC Medical Research Methodology, 2019
Background The analysis of twin data presents a unique challenge. Second-born twins on average weigh less than first-born twins and have an elevated risk of perinatal mortality.
Muhammad Abu Shadeque Mullah   +2 more
doaj   +1 more source

Hierarchical Language Models for Semantic Navigation and Manipulation in an Aerial‐Ground Robotic System

open access: yesAdvanced Intelligent Systems, EarlyView.
A hierarchical multimodal framework coupling a large language model for task decomposition and semantic mapping with a fine‐tuned vision‐language model for semantic perception, enhanced by GridMask, is presented. An aerial‐ground robot team exploits the semantic map for global and local planning.
Haokun Liu   +6 more
wiley   +1 more source

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