Artificial Intelligence Medical Compendium

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

Showing 65,381 to 65,390 of 231,904 articles

Laboratory-based additive modifications in glass ionomer cements: A scoping review using a systematic data mining and trend analysis framework (2015-2024).

Journal of dentistry
OBJECTIVES: This scoping review aimed at identifying laboratory-based additive modifications in commercial glass ionomer cements (GICs), analyzing trends between additives and properties improved, and highlighting research gaps relevant to clinical p... read more 

A multi-target therapeutic framework for Alzheimer's disease: an integrative mechanistic review.

Neuroscience
BACKGROUND: Alzheimer's disease (AD) is increasingly recognized as a multifactorial network disorder in which amyloid and tau pathology interact with mitochondrial dysfunction, neuroinflammation, metabolic impairment, vascular dysregulation, and syna... read more 

Metabolic engineering of Pichia pastoris for high-efficiency production of branched-chain amino acids -enriched single-cell protein.

Bioresource technology
Branched-chain amino acids (BCAAs), including leucine, isoleucine, and valine, are essential nutrients for animals that must be obtained from the diet, as mammals cannot synthesize them. This study developed an engineered Pichia pastoris strain for e... read more 

Source tracking, pollution load, and risk assessment of microplastics pollution in agricultural soils of Bangladesh using machine learning and multi-matrix approaches.

Environmental pollution (Barking, Essex : 1987)
Microplastics (MPs) contamination in agricultural soils has emerged as a critical environmental challenge, particularly in Bangladesh, where agriculture underpins food security and trade. This study provides one of the first comprehensive assessments... read more 

Curriculum-guided divergence scheduling improves single-cell clustering robustness.

Neural networks : the official journal of the International Neural Network Society
Deep clustering of single-cell RNA-seq data faces significant challenges due to extreme sparsity and noise. We present DAGCL (Dynamic Attention-enhanced Graph Embedding with Curriculum Learning), a dynamic graph embedding framework that reframes repr... read more 

Taming polarized fitting: BLINEX-Pcomp with asymmetric risk penalty for robust Pcomp classification.

Neural networks : the official journal of the International Neural Network Society
As a novel paradigm for learning with inexact supervision, Pcomp classification reduces the annotation costs of training a binary classifier by using ordered pairwise samples without requiring precise labels. However, existing methods fail to fully a... read more 

Deep multi-view clustering based on instance-level adaptive structural contrastive learning.

Neural networks : the official journal of the International Neural Network Society
Deep multi-view clustering has rapidly developed in recent years, leveraging the powerful representation capabilities of deep neural networks. Among them, instance-level feature contrastive learning is widely used in deep multi-view clustering to ali... read more 

An Artificial Intelligence-Based Computer Vision Model for Human Sperm Concentration, Motility, and Kinematics Analysis.

Smart medicine
Accurate assessment of sperm concentration and motility is critical for the diagnosis and management of male infertility. However, current methods, manual hemocytometer counting and commercial computer-aided sperm analysis (CASA) systems, are limited... read more 

Empowering caregivers of individuals with autism spectrum disorder through sensor-based monitoring of emotional dysregulation: A scoping review.

International journal of medical informatics
OBJECTIVE: This paper critically reviews existing work in sensor-based emotional dysregulation monitoring to support caregivers of individuals diagnosed with autism spectrum disorder (ASD). METHODS: A systematic literature search was conducted across... read more 

Structure-based virtual screening of ultra-large chemical spaces: Advances and pitfalls.

European journal of medicinal chemistry
On-demand chemical spaces consist of molecules that are, a priori, readily synthesizable from sets of commercial building blocks through robust organic reactions. As these spaces expand-now reaching the scale of several trillions of compounds-computa... read more