Advancing censored geochemical Au prediction through Bayesian spatial models and Random Forest with fractal-based background separation. [PDF]
Mahdiyanfar H.
europepmc +1 more source
Mass Spectrometry Structural Proteomics Enabled by Limited Proteolysis and Cross‐Linking
ABSTRACT The exploration of protein structure and function stands at the forefront of life science and represents an ever‐expanding focus in the development of proteomics. As mass spectrometry (MS) offers readout of protein conformational changes at both the protein and peptide levels, MS‐based structural proteomics is making significant strides in the
Haiyan Lu +4 more
wiley +1 more source
Ensemble AnalySis with Interpretable Genomic Prediction (EasiGP): Computational tool for interpreting ensembles of genomic prediction models. [PDF]
Tomura S +3 more
europepmc +1 more source
Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu +3 more
wiley +1 more source
Inference and prediction for stochastic models of biological populations undergoing migration and proliferation. [PDF]
Simpson MJ, Plank MJ.
europepmc +1 more source
Multimodal Imaging Investigation of the Dentato‐Thalamo‐Cortical Pathway in Friedreich's Ataxia
Abstract Background Friedreich's ataxia (FRDA) is a spinocerebellar neurodegenerative disorder. The dentato‐thalamo‐cortical (DTC) pathway, an important cerebellar output involved in motor control, plays a crucial role in the neural mechanisms underlying ataxia symptoms in FRDA.
Yinghua Jing +22 more
wiley +1 more source
Sensory reliability takes priority over the central tendency effect in temporal and spatial estimation. [PDF]
Tonelli A, Phan CK, Alais D.
europepmc +1 more source
ABSTRACT Purpose The aim of this study is to improve the traditional T1‐weighted (T1w) over T2‐weighted (T2w) ratio as a proxy for myelin by investigating the optimal T2w TE and combination of exponent‐weighted T1w and T2w images (T1wx1/T2wx2$$ \mathrm{T}1{\mathrm{w}}^{x_1}/\mathrm{T}2{\mathrm{w}}^{x_2} $$).
Simone Monachino +7 more
wiley +1 more source
Prediction of Breast Radiation Absorbed Dose Chest CT Examinations Using Machine Learning Techniques. [PDF]
Ünal S +3 more
europepmc +1 more source
ABSTRACT Purpose To develop and validate a protocol for simultaneous volumetric T1 and T2 mapping with blood‐ and fat‐suppression, and apply it to patients with abdominal aortic aneurysms (AAA) to assess tissue characteristics. Methods A spoiled gradient echo (SPGR) variable flip angle (VFA) acquisition was modified with preparation modules to suppress
Wilhelm Stehling +7 more
wiley +1 more source

