Artificial Intelligence Medical Compendium

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

Showing 30,091 to 30,100 of 220,100 articles

Molecular modelling-driven formulation design for targeted pulmonary drug delivery.

International journal of pharmaceutics
Molecular modelling an impactful and trending approach for rational design of pulmonary drug delivery systems. In particular, in silico techniques can screen candidates and optimise formulations early, reducing trial-and-error and improving the likel... read more 

Novel biomarkers and multi-omics approaches for diagnosis and management of ulcerative colitis.

Gastroenterologia y hepatologia
BACKGROUND: Ulcerative colitis (UC) remains challenging to diagnose, monitor, and treat due to heterogeneous disease presentation and lack of reliable non-invasive markers. Current diagnostic tools, including endoscopy and routine laboratory tests, a... read more 

Identifying neuroimaging-based biomarkers for obsessive-compulsive disorder: A resting-state fMRI and machine learning study in patients and unaffected first-degree relatives.

Brain research bulletin
BACKGROUND: Identifying whether brain alterations in obsessive-compulsive disorder (OCD) represent the illness itself or an underlying genetic vulnerability is challenging, primarily due to the confounding effects of medication and chronic illness. T... read more 

Integrating metagenomics and explainable artificial intelligence for modeling of food waste treatment using full-scale anaerobic digestion.

Bioresource technology
Anaerobic digestion (AD), a biochemical process that can convert food waste (FW) into methane, offers great promise as a sustainable form of energy production. While several attempts have been made to optimize AD systems using various mathematical mo... read more 

Cross-regional assessment of heavy metal contamination and Cd exceedance risk in specialty vegetable-producing soils across China.

Environmental research
Soil heavy metal contamination in specialty vegetable-producing areas has received increasing attention, yet cross-regional evidence under a unified framework remains limited. Here, 348 soil samples were collected from seven vegetable production syst... read more 

Artificial intelligence-assisted technology to reduce turnaround time for rapid diagnosis of infectious diseases.

Journal of virological methods
BACKGROUND: Quantitative polymerase chain reaction (qPCR) is a fundamental tool for disease detection; however, the relatively large number of amplification cycles can restrict its responsiveness in time-critical situations such as infectious disease... read more 

CAR-T Cells: Current Status, Challenges, and Future Prospects.

MedComm
As chimeric antigen receptor (CAR)-T cell therapy has expanded rapidly to meet the growing global cancer burden; many challenges have emerged as a critical factor influencing its efficacy. However, due to the complicated mechanisms of CAR-T cells, hu... read more 

Antimicrobial nanomaterials at the nanoscale: design principles, mechanisms, and global challenges.

Nanoscale advances
The rapid escalation of antimicrobial resistance (AMR) represents a major global health challenge, undermining the clinical efficacy of conventional antibiotics and driving the demand for alternative therapeutic strategies. Advances in nanoscience ha... read more 

Decoding perioperative anesthesia-associated signature in Kawasaki disease patients with deep vein thrombosis; evidence from machine-learning driven multi-omics.

Cytotechnology
UNLABELLED: Inappropriate perioperative anesthesia (PA) drug management may lead to the detrimental clinical outcomes of Kawasaki disease (KD) patients with deep vein thrombosis (DVT). However, perioperative anesthesia-related drug target genes(PADTG... read more 

AI-Powered Pipeline Transforms Neurosurgical Articles Into High-Quality Graphical Abstracts.

Neurosurgery practice
BACKGROUND AND OBJECTIVES: Neurosurgery Publications encourages the creation of graphical abstracts to accompany published articles. The goal of this study was to develop a pipeline for the automatic conversion of Neurosurgery Publications articles i... read more