Artificial Intelligence Medical Compendium

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

Showing 5,461 to 5,470 of 205,061 articles

Cross-study interpretable machine learning for prediction of NH3 and H2S emissions and identification of operational windows during composting.

Bioresource technology
Accurate prediction of NH3 and H2S emissions is essential for odor-risk control and process management during composting, but remains challenging because emissions are driven by nonlinear, stage-dependent, and interacting operating conditions. In thi... read more 

At the Decision Point Before Scintigraphy: AI-Echo in Suspected ATTR Cardiac Amyloidosis.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
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Prediction of circular RNA-RNA binding protein binding sites based on structural feature and dynamic feature screening.

International journal of biological macromolecules
circular RNA (circRNA)-RNA binding protein (RBP) interactions play critical roles in various diseases, and predicting their binding sites can elucidate regulatory mechanisms and identify potential therapeutic targets. Current deep learning methods fo... read more 

Pan-pathogen vaccine approaches: Toward broad-spectrum immunity in a One Health era.

Journal of microbiological methods
Emerging and re-emerging infectious diseases (EIDs) represent an escalating threat to global public health, as exemplified by outbreaks of COVID-19, Ebola, Zika, and other zoonotic viruses. Traditional pathogen-specific vaccines, although effective f... read more 

Robust end-to-end stratification of amyotrophic lateral sclerosis patients via recurrent variational autoencoder and consensus clustering.

Journal of biomedical informatics
OBJECTIVE: This study aims to develop a data-driven methodology for stratifying Amyotrophic Lateral Sclerosis (ALS) patients based on longitudinal disease progression patterns, using a novel deep learning framework that combines a Recurrent Variation... read more 

How machine learning applied on fMRI could improve the prognosis of the post-traumatic stress disorder: A systematic review.

Journal of affective disorders
BACKGROUND: Post-traumatic stress disorder (PTSD) is a stressor-related disorder that affects a significant proportion of the population worldwide. Despite the neurological nature of this disorder, its functional biomarkers, due to mixed results rema... read more 

The Cost of Convenient Truths: Artificial Intelligence in Matrix Biology.

Matrix biology : journal of the International Society for Matrix Biology
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Immune cell delivery platforms for tumor therapy: From empirical approaches to AI-integrated frameworks.

Journal of controlled release : official journal of the Controlled Release Society
The heterogeneity and immunosuppressive characteristics of the tumor microenvironment present significant challenges to traditional treatment strategies, including inadequate targeting and variable drug resistance. In recent years, immune cell-based ... read more 

Transcriptome sequencing combined with experimental verification to explore potential key genes related to uric acid in diabetic retinopathy.

PloS one
PURPOSE: Diabetic retinopathy (DR), a major microvascular complication of diabetes and leading global blindness cause, involves uric acid (UA) in its onset and progression. This study aimed to identify UA-related genes (UARGs) in DR and clarify their... read more 

The prognostic value of the early neutrophil-to-lymphocyte ratio for 28-day mortality in sepsis patients: A machine learning-based investigation of the MIMIC database.

PloS one
BACKGROUND: The neutrophil-to-lymphocyte ratio (NLR) has shown inconsistent prognostic value in individuals with sepsis. This study aimed to clarify its ability to predict 28-day mortality via a machine learning-based analysis of a large ICU database... read more