AIMC Topic: Humans

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Adaptive radiotherapy for gastrointestinal malignancies.

Radiation oncology (London, England)
BACKGROUND: Adaptive radiotherapy (ART) is an advanced form of image-guided radiotherapy that involves the re-contouring and re-planning of a patient's treatment plan, either while the patient is on the table (online) or in between fractions (offline...

IGFBP7 and CCT2 are novel lactylation-driven mediators of endothelial-to-mesenchymal transition in idiopathic pulmonary fibrosis.

Functional & integrative genomics
Lactylation is a post-translational modification that can influence the onset and progression of various diseases.However, its role in Idiopathic Pulmonary Fibrosis (IPF) has not been systematically investigated. Single-cell sequencing and bulk RNA s...

Emerging trends in AI-integrated optical biosensors for point-of-care diagnostics: current status and future prospects.

Chemical communications (Cambridge, England)
Optical biosensors have emerged as a transformative class of point-of-care diagnostic (POCD) devices, offering sensitive, specific, and rapid detection of diseases. The integration of optical biosensors with artificial intelligence (AI) brings a new ...

A machine learning-enhanced gastric cancer diagnostic method based on shell-isolated nanoparticle-enhanced Raman spectroscopy.

Nanoscale
Gastric cancer (GC) remains one of the most prevalent and lethal malignancies worldwide, necessitating the development of efficient, non-invasive methods for early detection. In this study, a serum diagnostic approach based on shell-isolated nanopart...

Road traffic injuries (RTIs) in children and adolescents in India: an overview of epidemiology, reported reasons and its implications.

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention
INTRODUCTION: Road traffic injuries (RTIs) rank among the top causes of mortality and disability in children and adolescents, resulting in substantial socioeconomic impacts.

Cross-modal fusion of brain imaging and clinical data for Parkinson's disease progression prediction.

PloS one
BACKGROUND: Machine learning shows great potential in science but struggles with complex, high-dimensional multi-omics data. PD progression is long, diagnosed mainly by clinical signs. This paper proposes a novel decision fusion method to improve the...

Forecasting urban air quality in Paris using ensemble machine learning: A scalable framework for environmental management.

PloS one
Urban air pollution poses a significant threat to public health and urban sustainability in megacities like Paris. We cast forecasting as a short-term, next-hour prediction task for PM2.5, NO, and CO, using hourly meteorology and recent pollutant his...

Albumin-corrected anion gap as a predictor of 28-day mortality in acute respiratory distress syndrome: A machine learning-based retrospective study.

PloS one
BACKGROUND: Acute Respiratory Distress Syndrome (ARDS) remains a critical condition associated with high mortality rates, prolonged hospitalization, and reduced quality of life despite advances in critical care. The albumin-corrected anion gap (ACAG)...

Regulators of homologous recombination deficiency identified by machine learning using somatic multi-omics data.

Life science alliance
Homologous recombination deficiency (HRD) is a critical biomarker for guiding targeted therapies, yet the full range of somatic alterations driving HRD across cancers remains incompletely characterized. Here, we present a tumor-agnostic machine learn...

Machine learning-assisted multicolor identification and quantification of antidepressant drugs by waste-derived fluorescent nanoprobes: Towards green AI-based electronic tongue.

Analytica chimica acta
Recently, the severe side effects related to the widespread consumption of antidepressants (ADs) have alarmingly created a global challenge for clinics and forensic laboratories. This study introduces a machine learning-empowered multicolor fluoresce...