Results 51 to 60 of about 635,362 (294)
Trypsinogen‐loaded nanoparticles reprogram TAMs via NF‐κB/NLRP3, driving M2→M1 conversion and potent phagocytosis to unleash antitumor immunity. ABSTRACT Although reprogramming tumor‐associated macrophages (TAMs) represents a promising therapeutic strategy, approaches that are both precise and safe remain scarce.
Lei Cao +7 more
wiley +1 more source
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi +7 more
wiley +1 more source
Closing the Empirical Loop: Autonomous AI Agents Conduct End‐to‐end Research With Human Participants
A multi‐agent AI system autonomously executes the complete scientific workflow, from hypothesis to manuscript, across three psychological studies involving 288 participants. The system designs experiments, collects real world data, develops analysis pipelines, and writes manuscripts with theoretical rigor comparable to experienced researchers.
Gabrielle Wehr +6 more
wiley +1 more source
Randomized preclinical study of machine perfusion in vascularized composite allografts
This study was designed to identify the optimum machine perfusion parameters for preservation of limbs before transplantation, and determine whether this was better than cold storage. Normothermic machine perfusion at a pressure of 70 mmHg (NMP‐70) provided superior preservation to cold storage after transplantation.
K. R. Amin +7 more
wiley +1 more source
The purpose of this study is to evaluate and compare different clustering techniques, including hierarchical cluster analysis (using complete linkage, average linkage, and single linkage methods), Self-Organizing Maps (SOM) clustering, and ensemble ...
Maulidya Maghfiro +2 more
doaj +1 more source
Estimating Individual Preferences in the Music CD Market
This research proposes a model to analyze individual customer preferences using purchase records such as Point-of-Sales (POS) data. To some extent, we can identify the interests of customers from their demographics.
Sotaro KATSUMATA
doaj +1 more source
Empirical Bayes and Hierarchical Bayes Estimation of Skew Normal Populations
We develop empirical and hierarchical Bayesian methodologies for the skew normal populations through the EM algorithm and the Gibbs sampler. A general concept of skewness to the normal distribution is considered throughout. Motivations are given for considering the skew normal population in applications, and an example is presented to demonstrate why ...
Bansal, Naveen K. +2 more
openaire +2 more sources
From Empirical Bayes to Full Bayes: Methods for Analysing Traffice Safety Data, October 25, 2004 [PDF]
Traffic safety engineers are among the early adopters of Bayesian statistical tools for analyzing crash data. As in many other areas of application, empirical Bayes methods were their first choice, perhaps because they represent an intuitively ...
core
Artificial Intelligence‐Guided Phenotypic Drug Repurposing Against Streptococcus pneumoniae
Integrated artificial intelligence (AI) ensembles identify highly potent repurposed drugs against Streptococcus pneumoniae. Prospective virtual screening of 6747 drugs uncovers nine active candidates, including thiostrepton. This drug exhibits low picomolar potency and bypasses established resistance in multidrug‐resistant strains, demonstrating an ...
Joshua S. Fitch +6 more
wiley +1 more source
Fully moderated t-statistic in linear modeling of mixed effects for differential expression analysis
Background Gene expression profiling experiments with few replicates lead to great variability in the estimates of gene variances. Toward this end, several moderated t-test methods have been developed to reduce this variability and to increase power for ...
Lianbo Yu +3 more
doaj +1 more source

