Artificial Intelligence Medical Compendium

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

Showing 66,571 to 66,580 of 232,447 articles

Construction and validation of a machine learning-based risk prediction model for invasive mechanical ventilation in AECOPD patients complicated with respiratory failure.

International journal of medical informatics
OBJECTIVE: This study aimed to create and validate a machine learning (ML) model to predict the likelihood of invasive mechanical ventilation (IMV) in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) complicated by r... read more 

Geroscience insights into difficult-to-treat rheumatoid arthritis: the role of unhealthy aging, comorbidity, and therapeutic complexity.

GeroScience
Difficult-to-treat rheumatoid arthritis (D2T RA) is an emerging challenge in aging populations, where disease persistence and therapeutic failure often reflect not only autoimmune dysregulation but also the cumulative effects of age-related biologica... read more 

Synthetic data generation in paediatrics and paediatric nursing: what, how, and why?

International journal of medical informatics
INTRODUCTION: This paper explores the potential benefits and limitations of synthetic data (SD) in paediatrics, addressing the challenges of data scarcity and privacy concerns in paediatric research. METHODOLOGY: A narrative literature review was con... read more 

Targeting key proteins of pleural mesothelioma using plumbagin-indole-3-propionic acid ester: Insights from network pharmacology, molecular dynamics simulation and machine learning-based analysis.

Computational biology and chemistry
This study explores the network pharmacology (NP) and molecular dynamics (MD) simulation analysis of pleural mesothelioma (PM) related enzymes. Through the investigation of 1253 associated genes, culminating in a protein-protein interaction (PPI) net... read more 

Efficient drug-target affinity prediction via interaction features and parallel CNN-BiLSTM with attention.

Computational biology and chemistry
Drug-Target Affinity (DTA) prediction is critical for reducing failure rates in drug discovery, but existing deep learning methods often trade efficiency for accuracy. Existing CNN-LSTM methods for DTA have convolutional neural networks (CNNs) and lo... read more 

Artificial Intelligence in Adolescent and Young Adult Cancer Care: A Discussion Paper.

Seminars in oncology nursing
PURPOSE: The number of adolescents and young adults (AYAs) with cancer has increased over the past 30 years. Fundamental to this process has been the combined contribution from nursing and other health care professionals. METHODS: The authors discuss... read more 

Machine learning-assisted unveiling of aroma modulation by inorganic nitrogen during cider fermentation by Pichia kluyveri.

Food research international (Ottawa, Ont.)
Non-Saccharomyces yeasts have been shown to enhance and diversify the aroma profile of cider. This study aimed to elucidate the regulatory role of inorganic nitrogen and to improve cider aroma quality by investigating how the type and concentration o... read more 

Multi-channel spectral sensor-based instrument as an alternative to the Agtron for predicting coffee roast degree using classical chemometric and machine learning approaches.

Food chemistry
This study developed a new alternative Agtron detection system using a low-cost multichannel spectral sensor (410-940 nm) combined with classical and modern chemometric regression methods, and implemented the selected model in an embedded system to p... read more 

Polyploid giant cancer cells: A novel target in future cancer therapy.

European journal of cell biology
Under intense therapeutic stress-including chemotherapy, radiotherapy, and targeted therapies-tumor cells can undergo ploidy reprogramming to generate polyploid giant cancer cells (PGCCs). Once largely overlooked, this rare but biologically distincti... read more