Artificial Intelligence Medical Compendium

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

Showing 56,721 to 56,730 of 227,153 articles

Assessing Agricultural Methane Emissions and Temperature Feedbacks in the Loiret Region, France: A High-Resolution Sentinel-5P and Machine Learning Approach.

Environmental management
Methane, a potent greenhouse gas, significantly contributes to climate change, with agriculture accounting for ~50% of anthropogenic emissions. This study investigates the impact of agriculture on methane emissions and surface temperature variation i... read more 

Artificial Intelligence-Based Medical Devices for Diabetic Retinopathy Screening in the European Union.

Ophthalmology and therapy
BACKGROUND: Diabetic retinopathy (DR) remains a leading cause of preventable blindness, yet screening programs across Europe face persistent workforce and capacity constraints amid rising diabetes prevalence. Artificial intelligence (AI)-enabled scre... read more 

IL2Pepscan: a machine learning framework for predicting IL-2 inducing peptides and their identification across global viral proteomes.

Scientific reports
Interleukin-2 (IL-2) is a pivotal cytokine involved in regulating immune responses, particularly in the activation and proliferation of T cells. Interleukin-2 (IL-2) is a key regulator of immune responses, making the identification of IL-2-inducing p... read more 

Artificial intelligence-based TB screening using hybrid acoustic features of a patient's cough.

The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease
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Transplatformer: translating toxicogenomic profiles between generations of platforms.

BMC bioinformatics
BACKGROUND: Transcriptomic profiling technologies have advanced the analysis of biological and toxicological responses. However, substantial differences in probe design, dynamic range, gene coverage, and preprocessing pipelines across platforms intro... read more 

The METTL3-IGF2BP3 axis drives osteosarcoma progression by enhancing ID1 mRNA stability.

BMC musculoskeletal disorders
OBJECTIVE: Osteosarcoma (OS) is a highly aggressive malignant bone tumor. While ID1 plays a critical role in OS progression, the underlying mechanisms remain unclear. This study investigates the METTL3-IGF2BP3 axis-mediated N6-methyladenosine (m6A) m... read more 

Voice-based machine learning for rapid screening of bipolar disorder and major depressive disorder in children and adolescents: a robust and low-complexity diagnostic model.

BMC psychiatry
BACKGROUND: Major depressive disorder (MDD) and bipolar disorder (BD) are psychiatric disorders that seriously impact physical and mental health. They are increasingly prevalent among children and adolescents, and the absence of objective physiologic... read more