Artificial Intelligence Medical Compendium

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

Showing 57,011 to 57,020 of 227,153 articles

Non-invasive liquid biopsy based on metabolomic profiling improves diagnosis and early warning of severe acute pancreatitis.

NPJ digital medicine
To identify novel diagnostic biomarkers for acute pancreatitis (AP) and facilitate the early prediction of severe AP (SAP), this investigation characterized the serum metabolomic profiles of patients across distinct disease phases and integrated meta... read more 

A meta learning framework for few shot personalized gait cycle generation and reconstruction.

Scientific reports
Human gait is a complex biometric pattern with high intra and inter subject variability. While deep learning models can generate and reconstruct gait, they often require extensive personalized data. This paper introduces MetaGait, a framework that us... read more 

A tri-omics and machine learning framework identifies prognostic biomarkers and metabolic signatures in sepsis.

Scientific reports
Sepsis is a complex systemic inflammatory syndrome that currently lacks stable and specific biomarkers. Multi-omics integration combined with machine learning and single-cell analysis offers new approaches for elucidating molecular mechanisms and nom... read more 

Machine learning models for drug-drug interaction prediction from computational discovery to clinical application.

NPJ digital medicine
Drug-drug interaction (DDI) poses a major challenge in clinical pharmacology, often compromising therapeutic efficacy or causing serious adverse events. Traditional detection methods, heavily dependent on experimental assays and expert knowledge, are... read more 

Multi-cohort, cross-species urinary proteomics reveals signatures of LRRK2 dysfunction in Parkinson's disease.

Molecular systems biology
Pathogenic mutations in Leucine-rich repeat kinase 2 (LRRK2) are the predominant genetic cause of Parkinson's disease (PD) and often increase kinase activity, making LRRK2 inhibitors promising treatment options. Although LRRK2 kinase inhibitors are a... read more 

A lightweight neural network approach for predicting national Gross Domestic Product (LightNet-GDP) with regression benchmarks.

Scientific reports
Gross Domestic Product (GDP) is one of the most important factors to determine the economic state and performance of a country. The correct prediction of GDP is crucial in the development of the fiscal policy, investment and in socio-economic plannin... read more 

APOLLO11: a bio-data-driven model for clinical and translational research in lung cancer.

NPJ precision oncology
Identifying predictive and resistance biomarkers remains one of the most relevant unmet needs in clinical cancer research. Artificial Intelligence (AI) represents a powerful tool to develop predictive algorithms tailored to individual patients. Thank... read more 

A comparative evaluation of time-series models for forecasting inpatient deaths and discharges against medical advice.

Scientific reports
Forecasting inpatient mortality (IM) and discharges against medical advice (DAMA) provides essential insights for healthcare quality monitoring and hospital management. This study compared six time-series forecasting methods-ARIMA, Grey Model, NNETAR... read more