Artificial Intelligence Medical Compendium

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

Showing 56,001 to 56,010 of 226,731 articles

Photonic Kolmogorov-Arnold networks based on self-phase modulation in nonlinear waveguides.

Optics letters
Photonic neural networks have attracted intense interest during the past decade, with an extensive number of propositions trying to mimic various forms of the established digital models. This field envisages low-power and low-latency, highly parallel... read more 

Machine-learning-decoupled absorption spectroscopy reveals bandgap shrinkage competition in Si-doped β-Ga2O3.

Optics letters
β-Ga2O3 is promising for power and solar-blind UV photodetection due to its wide bandgap, high critical field, and ease of n-type doping with Si. However, a doping limit arises at high Si concentrations, attributed to band-gap narrowing and renormali... read more 

Multi-omics predicts radiotherapy response in small cell lung cancer patients receiving whole brain irradiation.

Journal of applied clinical medical physics
OBJECTIVE: Dosiomics and radiomics elaborate the low-and high-order features extracted from images to predict clinical outcomes. Whole-brain radiotherapy (WBRT) has been widely used in patients with diffuse brain metastases of small cell lung cancer ... read more 

Advances in Therapeutic Antibody Discovery and Development Targeting G Protein-Coupled Receptors.

Pharmacology research & perspectives
G protein-coupled receptors (GPCRs) are integral to numerous biological processes and are associated with various diseases across all therapeutic areas. Consequently, GPCRs present substantial potential for antibody-based therapies. This review offer... read more 

Endoscopic Diagnosis of Eosinophilic Esophagitis Using a Multi-Task U-Net: A Pilot Study.

Yonsei medical journal
PURPOSE: Endoscopically identifying eosinophilic esophagitis (EoE) is difficult due to its rare incidence and subtle morphology. We aimed to develop a robust and accurate convolutional neural network (CNN) model for EoE identification and classificat... read more 

Rethinking Evidence in Contemporary Evidence-Based Medicine: A Critical Examination Into Emerging Forms of Clinical Practice.

Journal of evaluation in clinical practice
BACKGROUND: With the increasing integration of digital technologies, precision medicine, and artificial intelligence into contemporary evidence-based medicine (EBM), a range of novel methodological approaches, such as real-world data, synthetic contr... read more 

Pulmonary Obstruction and Age, Not Activity, Associate With Muscle Oxidative Impairment in Smokers With and Without COPD.

Journal of cachexia, sarcopenia and muscle
BACKGROUND: Low muscle oxidative capacity is an extrapulmonary manifestation of chronic obstructive pulmonary disease (COPD) with unclear aetiology. We sought to characterize locomotor muscle oxidative capacity in never smokers and ever smokers with ... read more 

Pubertal Hormones and the Early Adolescent Female Brain: A Multimodality Brain MRI Study.

Human brain mapping
Puberty is a critical developmental process that is associated with changes in pubertal (or steroid) hormone levels, which are believed to influence adolescent behaviour via their effects on the developing brain. So far, there are limited and inconsi... read more 

Elements and roadmap for interactive molecular graphics and modeling "in the Holodeck".

Protein science : a publication of the Protein Society
Molecular graphics have been instrumental in advancing chemistry, drug discovery, materials science and structural biology, enabling visualization of molecular systems from static images to dynamic web displays and immersive platforms. While effectiv... read more 

ProteinDJ: A high-performance and modular protein design pipeline.

Protein science : a publication of the Protein Society
Leveraging artificial intelligence and deep learning to generate proteins de novo (a.k.a. 'synthetic proteins') has unlocked new frontiers of protein design. Deep learning models trained on protein structures can generate novel protein designs that e... read more