Artificial Intelligence Medical Compendium

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

Showing 16,391 to 16,400 of 213,568 articles

Phenotypic AI-based design of cell-specific small molecule cytotoxics.

Communications chemistry
Artificial intelligence is transforming drug discovery by enabling exploration of vast chemical spaces and the design of new molecules with tailored properties. However, most approaches focus on chemical features or protein binding, leaving phenotypi... read more 

Visual processing is a language-agnostic window into heterogeneity in early reading development.

Current biology : CB
Reading disabilities impose profound impacts on educational and socioeconomic outcomes worldwide, yet identifying reliable early predictors remains a significant challenge. For five decades, the role of visual processing in reading development has be... read more 

Precise Staging of Diabetic Retinopathy Through Machine Learning Analysis of Leakage Source Characteristics: A Radiomics-Driven Approach Integrating OCT-A and FFA.

Photodiagnosis and photodynamic therapy
INTRODUCTION: Evaluating retinal fundus image for diabetic retinopathy (DR) assessment is used to reduce the risk of blindness among diabetic patients. To do this, DR staging is one of the challenging tasks in screening DR that includes the assessmen... read more 

A multi-omics atlas of multisystem complications in type 2 diabetes reveals molecular signatures and improves risk prediction.

Metabolism: clinical and experimental
BACKGROUND: Type 2 diabetes (T2D) causes multisystem complications, but an integrated multi-omics framework for cross-system, multi-outcome analysis is lacking. We aimed to comprehensively construct the proteomic and metabolomic atlas of major T2D ou... read more 

Relationship between the diagnostic probability of chronic kidney disease calculated using artificial intelligence-enhanced electrocardiography and the incidence of cardiovascular events.

International journal of cardiology
AIMS: A low estimated glomerular filtration rate (eGFR) is the primary diagnostic criterion for chronic kidney disease (CKD), a known risk factor for cardiovascular disease (CVD). Artificial intelligence-enhanced electrocardiography (AI-ECG) has demo... read more 

Mechanism of UBE2T regulating endometrial cancer proliferation through m6A modification.

International journal of biological macromolecules
Endometrial cancer (EC) is a prevalent malignancy in women. UBE2T, a member of the E2 ubiquitin-conjugating enzyme family, has emerged as a potential regulator of cancer progression. In this study, we conducted WGCNA and machine learning analysis usi... read more 

Mechanisms and strategies for lignin-targeted pretreatment and β-glucosidase molecular engineering in enhancing cellulase hydrolysis efficiency: A review.

International journal of biological macromolecules
Lignocellulosic biomass (LCB), a second-generation feedstock for cellulosic ethanol production, requires efficient pretreatment. This step is critical in biorefinery processes. During enzymatic hydrolysis, lignin limits cellulase accessibility, where... read more 

Xiao Zhen Fang mitigates cutaneous toxicity by inhibiting PANoptosis: Insights from untargeted metabolomics and transcriptomics.

Fitoterapia
BACKGROUND: Epidermal growth factor receptor (EGFR) inhibitors and other targeted therapies frequently cause cutaneous toxicities, impairing patient quality of life and treatment adherence. This study investigated the molecular mechanisms underlying ... read more 

A Novel 2.5-Dimensional Deep Learning Model for "Bone-on-Bone" Detection on Magnetic Resonance Imaging in Medial Unicompartmental Knee Arthroplasty Candidates.

The Journal of arthroplasty
BACKGROUND: Accurate identification of "bone-on-bone" (BoB) osteoarthritis is critical for patient selection for medial unicompartmental knee arthroplasty (mUKA); however, the assessment remains subjective. We aimed to develop and validate a deep lea... read more 

Integrating multi-omics analysis to identify potential biomarkers and regulatory networks of ischemic stroke.

Progress in neuro-psychopharmacology & biological psychiatry
Ischemic stroke (IS) is a leading cause of death and long-term disability worldwide, with a complex and multifactorial pathophysiology that is still incompletely understood. This study performed untargeted metabolomics and Olink proteomics on serum s... read more