Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 61,851 to 61,860 of 230,319 articles

The Role of Chemical Engineers in the Pharmaceutical Industry.

Annual review of chemical and biomolecular engineering
Chemical engineers have played a vital role in the pharmaceutical industry for more than a century, bridging the gap between scientific discovery and large-scale drug manufacturing. This review examines the evolution in the role of chemical engineers... read more 

MolCluster: An Unsupervised Framework for Multiscale Molecular Representations with Physically Consistent Resolution Control.

Journal of chemical theory and computation
Coarse-grained (CG) modeling simplifies molecular systems by mapping groups of atoms into representative particles, but traditional approaches depend on fixed rules and struggle to handle diverse chemical structures. Supervised CG methods further suf... read more 

Machine learning using entropy-based texture features from MRI to differentiate histological subtypes of non-small cell lung cancer identified as metabolically active on PET/MRI.

PloS one
Texture analysis is a foundational approach in imaging studies and demonstrates excellent diagnostic performance, with radiomic analysis being the most widely used method. New approaches to texture analysis continue to be developed. However, magnetic... read more 

Improving the measurement resolution in BOTDR sensor with optimized wavelet denoising strategy.

PloS one
Signal averaging imposes a significant trade-off between measurement time and measurand resolution in a sub-meter differential cross-spectrum Brillouin optical time domain reflectometry (DCS-BOTDR). This article introduces an optimized post-processin... read more 

An integrative multiomics random forest framework for robust biomarker discovery.

GigaScience
BACKGROUND: High-throughput technologies now produce a wide array of omics data, from genomic and transcriptomic profiles to epigenomic and proteomic measurements. Integrating multiple omics layers measured on the same samples can reveal cross-layer ... read more 

Deformable image registration using multi-resolution vision Transformer for cardiac motion estimation.

Physics in medicine and biology
Objective.Deformable registration plays a crucial role in motion estimation from a sequence of cardiac magnetic resonance (CMR) imaging, which is good for the diagnosis and treatment of heart diseases. To address the challenges posed by intensity inh... read more 

Semi-supervised learning for dose prediction in targeted radionuclide therapy: a synthetic data study.

Physics in medicine and biology
Objective.Accurate and personalized radiation dose estimation is crucial for effective targeted radionuclide therapy (TRT). Deep learning (DL) holds promise for this purpose. However, current DL-based dosimetry methods require large-scale supervised ... read more 

Theoretical investigation of the excited-state dynamics in the CH4 + O(3P) → CH3 + OH reaction.

The Journal of chemical physics
In combustion processes, particularly in systems involving reactive oxygen species (ROS), the role of electronically excited states has become a critical research frontier. This study employs the benchmark combustion reaction CH4 + O(3P) → CH3 + OH a... read more 

The association of environmental exposure with multiple sclerosis severity score: A study based on sequential data modeling.

International journal of medical informatics
Introduction Multiple Sclerosis (MS) is a chronic neuroinflammatory disease influenced by clinical, demographic, and environmental factors. Predicting MS progression is challenging due to the disease's heterogeneity. This study aimed to apply Artific... read more 

A comparative evaluation of handling missing data points and modalities in electronic health records.

International journal of medical informatics
BACKGROUND: Healthcare data, generally available as electronic health records (EHR), provide rich insights for predictive modelling. A common challenge in using EHR data is the missing information, which may occur completely at random (MCAR), at rand... read more