Artificial Intelligence Medical Compendium

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

Showing 43,361 to 43,370 of 224,055 articles

Point positioning and counting network: A deep learning-based method for automatic axon counting.

Experimental eye research
Accurate quantification of axon density is pivotal in optic nerve-related studies, as axonal degeneration is a hallmark of numerous neurological disorders. This study introduces the Point Positioning and Counting Network (PPCNet), a novel point-annot... read more 

Artificial intelligence and multiomics integration for Parkinson's disease drug development.

Molecules and cells
Recent advances underscore the potential of integrating multiomics, such as genomics, transcriptomics, proteomics, and metabolomics, and artificial intelligence to overcome limitations regarding early diagnosis and treatment of Parkinson's disease. D... read more 

MobiRes: An integrative pipeline for resistome risk prediction through mobilome profiling.

Journal of microbiological methods
Antimicrobial resistance (AMR) poses a significant global health challenge, with the environment serving as a crucial reservoir and conduit for resistance determinants. Although antibiotic resistance genes (ARGs) have been extensively studied in envi... read more 

Computer-aided diagnosis of papillary thyroid carcinoma based on deep learning technology.

Critical reviews in oncology/hematology
This article examines global thyroid cancer(TC) incidence trends, with emphasis on epidemiological patterns in China, where papillary thyroid carcinoma (PTC) demonstrates disproportionately high prevalence. As the predominant histological subtype lin... read more 

Dopamine receptors: Potential therapeutic targets for ischemia-reperfusion injury: A review.

International journal of biological macromolecules
As one of the most extensively studied neurotransmitters in the central nervous system, dopamine exerts its biological effects primarily through its receptors. Cryo-electron microscopy has elucidated the high-resolution architecture of dopamine recep... read more 

A metabolic-immune subtype of breast cancer defined by G6PD and SHMT2: From single‑cell dissection to dual-targeted therapy.

The Journal of steroid biochemistry and molecular biology
Breast cancer heterogeneity limits the precision of current prognostic and therapeutic strategies, underscoring the need for molecular frameworks that capture underlying metabolic drivers. Here, we systematically dissected the landscape of amino acid... read more 

Valorization of coffee processing by-products for circular economy: Environmental, food, pharmaceutical applications, and artificial intelligence-based optimization approaches.

Bioresource technology
The global coffee industry generates over 10 million metric tons of coffee processing by-products every year (∼0.9 kg of waste, from cherry to cup, per 1 kg of coffee cherries harvested), posing a significant waste management challenge. This review p... read more 

Construction and validation of a predictive model for suicidal attempts in patients with mood disorders after discharge based on machine learning methods: A two-year follow-up study.

Journal of affective disorders
BACKGROUND: Suicide attempts (SA) in patients with mood disorders (MD) should be paid enough attention. Currently, there is a lack of relevant research on the prediction of SA of inpatients with MD in psychiatric wards after discharge. We tried to co... read more 

Frontal facial analysis of male celebrities attractiveness standards through artificial intelligence.

Journal of stomatology, oral and maxillofacial surgery
OBJECTIVES: The modern emphasis on celebrities' facial features highlights their increasing role in defining beauty ideals. This retrospective study used artificial intelligence to examine how facial patterns influence attractiveness standards in the... read more