Artificial Intelligence Medical Compendium

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

Showing 33,301 to 33,310 of 221,422 articles

Accurate and interpretable ADMET prediction: Integrating structural, geometric, and global molecular context representations.

European journal of medicinal chemistry
Predicting absorption, distribution, metabolism, excretion, and toxicity (ADMET) profiles early in drug discovery is essential to avoid late-stage failures. However, most current computational models depend on single-view molecular representations. T... read more 

GCI: A generative CT interpolation model for rapid wood CT scanning.

Micron (Oxford, England : 1993)
Micro-computed tomography (micro-CT) is a key technique for acquiring three-dimensional images of materials, yet its long scanning and reconstruction time and high cost limit large-scale application. Fast scanning by varying pitch value to loss of im... read more 

Optimization of Zanthoxylum bungeanum essential oil extraction based on response surface methodology and machine learning with activity evaluation.

Journal of chromatography. A
This study extracted Zanthoxylum bungeanum essential oil via steam distillation, with the extraction process optimized using Response Surface Methodology (RSM) and machine learning techniques. The results indicated that the optimal conditions predict... read more 

Multivariate machine learning regression approaches to predict adolescent suicide risk.

Psychiatry research
BACKGROUND: Suicide is a leading cause of death among adolescents, yet most prediction models rely on binary classification and limited predictors, failing to capture the complexity of suicide risk. This study aimed to develop a more accurate and com... read more 

Regulatory risk loci link disrupted androgen response to the pathophysiology of polycystic ovary syndrome.

Journal of the Endocrine Society
A major challenge in deciphering the complex genetic landscape of polycystic ovary syndrome (PCOS) lies in the limited understanding of how susceptibility loci drive molecular mechanisms across diverse phenotypes. To address this, we integrated molec... read more 

Predicting sediment ecological state from metagenomes shows equal performance for taxonomic and functional features.

Marine environmental research
The use of environmental microbial DNA to monitor the ecological state in seafloor sediments has many advantages and efforts are being made to find reliable biomarkers from DNA-based taxonomic profiles. However, the taxonomic composition of microbial... read more 

Smart diagnostics: Leveraging artificial intelligence for accurate at-home COVID-19 testing.

Diagnostic microbiology and infectious disease
Reverse transcriptase polymerase chain reaction (RT-PCR), the reference standard for COVID-19 diagnosis, is time-consuming, resource-intensive, and costly. Rapid antigen tests address these limitations but rely on visual interpretation, which may red... read more 

Research progress in flap temperature monitoring technologies and applications after transplantation.

APL bioengineering
As a primary method for tissue repair and functional reconstruction, flap transplantation has achieved a clinical success rate of over 90%. However, the postoperative incidence of vascular crisis remains as high as 10%-30%, making it a leading cause ... read more 

Association of widespread pain and peak alpha frequency cannot be isolated to a single network.

Pain reports
INTRODUCTION: Peak alpha frequency (PAF), an electroencephalography measure, has gained interest due to its association to pain-related neural processes in both healthy and clinical populations. In healthy groups, PAF derived from the sensorimotor co... read more