Artificial Intelligence Medical Compendium

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

Showing 42,861 to 42,870 of 223,853 articles

A practical framework for clone selection, media-feed screening, and upstream process parameter optimization for a mAb CHO cell culture process.

Biotechnology progress
This study presents a data-driven workflow for upstream process development in biologics manufacturing, aimed at improving consistency, efficiency, and decision-making using established statistical and machine learning tools. Rather than relying on s... read more 

Parametrized Quantum Circuit Learning for Quantum Chemical Applications.

Journal of chemical information and modeling
In the field of quantum machine learning (QML), parametrized quantum circuits (PQCs)─constructed using a combination of fixed and tunable quantum gates─provide a promising hybrid framework for tackling complex machine learning problems. Despite numer... read more 

Exploring the mechanism of polymorphonuclear neutrophils against sepsis based on immune model.

Annals of medicine
BACKGROUND: Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection and remains a major global health challenge. Polymorphonuclear neutrophils (PMNs), as major effectors of innate immunity, are essential for... read more 

Improvement of Peak Integration in Capillary Electrophoresis: Reference Data Set No. 1.

Electrophoresis
Capillary electrophoresis (CE) often provides superior separation of macromolecules such as monoclonal antibodies (mAbs), a major biopharmaceutical class, compared with liquid chromatography. However, electropherograms frequently exhibit complex base... read more 

Guiding Preventive Care Strategies for Patients With Atherosclerotic Plaque on Coronary CTA: Primary Outcomes of the DECIDE Registry.

JACC. Cardiovascular imaging
BACKGROUND: Artificial intelligence-enabled coronary plaque analysis (AI-CPA) has been shown to improve cardiovascular risk prediction. However, little is known about how these measures influence management. OBJECTIVES: This study sought to define ch... read more 

ROPE: a novel method for real-time phase estimation of complex biological rhythms.

Journal of the Royal Society, Interface
Accurate phase estimation-the process of assigning phase values between 0 and 2π to repetitive or periodic signals-is a cornerstone in the analysis of oscillatory signals across diverse fields, from neuroscience to robotics, where it is fundamental, ... read more 

Influence of behavioural contingency on developmental song learning in young zebra finches (Taeniopygia guttata) tutored by a robot bird.

Proceedings. Biological sciences
In humans and other animals, social robots can serve as effective tutors for learning new skills. Young oscines learn their song by imitating conspecific adults. In a previous study, we demonstrated that a robotic bird can be as effective as a live t... read more 

Spatiotemporal clustering of state-level opioid, opioid-stimulant, and opioid-benzodiazepine polysubstance deaths across the U.S.: Hierarchical agglomerative clustering analysis.

Drug and alcohol dependence
BACKGROUND: Polysubstance use continues to complicate the US overdose landscape, with over 107,000 lives lost to drug overdoses in 2022. The present study uses hierarchical agglomerative clustering to identify distinct spatiotemporal profiles of opio... read more 

Protein language model-guided generative design of affinity peptides for chromatographic purification of lentiviral vectors.

Journal of chromatography. A
Lentiviral vectors (LVs) have emerged as the most promising tool for cell and gene therapy. However, LVs are very fragile and sensitive to shear stress, buffer pH and salt concentration, resulting in serious hurdles in downstream processing. To addre... read more