Artificial Intelligence Medical Compendium

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

Showing 22,581 to 22,590 of 216,842 articles

Artificial intelligence in nutritional assessment and decision making.

Current opinion in clinical nutrition and metabolic care
PURPOSE OF THE REVIEW: Artificial intelligence (AI) has become an non contourable tool in clinical nutrition practice. This review proposes to discuss the most recent advances that can support the physician in nutritional assessment and mainly physic... read more 

Smartphone-Based Microbubble-Linked Immunosorbent Assay Powered by Classification-Regression Integrated Deep Learning for Portable Quantitative Biomarker Analysis.

ACS nano
As the demand for portable, efficient, and precise diagnostic technologies continues to grow in modern healthcare, traditional ELISA systems are increasingly limited by expensive and proprietary equipment. Here, we developed CRiBDL-ELISA (Classificat... read more 

A Biomimetic Nanozyme Engineered via Coordination and Confinement for Photothermal-Reinforced Catalytic Detection of Extracellular Vesicles and Diagnosis of Cancer.

Analytical chemistry
Extracellular vesicles (EVs) have emerged as promising biomarkers for liquid biopsy. However, their clinical detection is hampered by heterogeneity and low abundance. Herein, a dual-mode biosensor is constructed based on a biomimetic nanozyme for the... read more 

Real-Time, Inline Quantitative MRI Enabled by Scanner-Integrated Machine Learning: A Proof of Principle With NODDI.

Magnetic resonance in medicine
PURPOSE: The clinical feasibility and translation of many advanced quantitative MRI (qMRI) techniques are inhibited by their restriction to 'research mode', due to resource-intensive, offline parameter estimation. This work aimed to achieve 'clinical... read more 

xBind: an integrated webserver for large language model-enabled cross-molecular protein binding site prediction.

Nucleic acids research
xBind is an interactive, freely accessible, and fully configurable webserver for large language model (LLM)-enabled cross-molecular protein binding-site prediction. xBind leverages LLM embeddings from the ESM-2 model together with sequence- and struc... read more 

Feasibility of an artificial intelligence based fractional flow reserve assessment for coronary artery disease.

Coronary artery disease
BACKGROUND: The implementation of artificial intelligence has been investigated in many aspects of cardiovascular disease. OBJECTIVES: To develop deep learning models based on coronary angiograms to detect functionally significant coronary stenoses. ... read more 

Precision animal models of tumors: Advances, challenges and clinical translation.

Tumori
Preclinical immunotherapy research relies heavily on animal tumor models, which can be broadly classified into four categories: genetically engineered, carcinogen-induced, spontaneous, and humanized transplantation platforms. While these systems mimi... read more 

An epidemiological study of Parkinson's disease in Chinese older adults using the Global Burden of Disease and China Health and Retirement Longitudinal Study databases.

Neurologia i neurochirurgia polska
INTRODUCTION: The prevalence of Parkinson's disease (PD) has increased globally, especially in China, and emerged as a critical public health challenge. AIM OF THE STUDY: Based on the Global Burden of Disease (GBD) and the China Health and Retirement... read more 

Integrating QSAR-Machine Learning, Biochemical Assays, and Molecular Dynamics for the Discovery of JAK2 Inhibitors in Cervical Cancer.

Journal of chemical information and modeling
Cervical cancer remains a major global health challenge, where dysregulated JAK2 signaling constitutes a key molecular driver. Nevertheless, selective small-molecule JAK2 inhibitors for HPV-positive cervical cancer are still limited. Here, we integra... read more