Artificial Intelligence Medical Compendium

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

Showing 2,811 to 2,820 of 235,381 articles

Omics-guided understanding of nonthermal plasma seed treatment: from surface modification to germination and stress resilience.

Planta
This review links plasma-induced seed-surface modification and redox signaling with emerging multi-omics responses associated with germination and stress resilience, while emphasizing that a unified causal sequence remains unproven. Nonthermal plasma... read more 

Gray matter subtyping with SuStaIn reveals neuroanatomical patterns in autism spectrum disorder.

Brain imaging and behavior
Autism spectrum disorder (ASD) is highly heterogeneous, and structural magnetic resonance imaging (MRI) studies have reported both increased and decreased gray matter volume relative to typically developing controls. This variability may obscure dist... read more 

Physics informed neural network framework for non-similar nano-heat and solutal transport in a rheological fluid over a stretching cylinder.

Discover nano
Accurate prediction of non-similar momentum, thermal and solutal transport phenomena in rheological fluids is crucial for the design and optimization of advanced thermal management systems, heat exchangers, polymer processing, chemical reactors, ener... read more 

SpliceDetector: A Splice Sites Detection Method Based on Biology Attention and Ensemble Module.

Interdisciplinary sciences, computational life sciences
Splice site detection is a fundamental task in genome annotation, yet existing deep learning methods still have limitations in incorporating biological prior knowledge and extracting multi-scale features. This study presents SpliceDetector, a multi-s... read more 

AMAP-APP: Efficient Segmentation and Morphometry Quantification of Fluorescent Microscopy Images of Podocytes.

Kidney360
BACKGROUND: Automated quantification of podocyte foot process morphology is essential for unbiased, high-throughput analysis in kidney disease research. The previously established "Automatic Morphological Analysis of Podocytes" (AMAP) method allows f... read more 

Machine learning for estimating and comparing clinical rules for treating diarrheal illness with antibiotics.

The international journal of biostatistics
Acute diarrheal disease is a leading cause of death in children under age 5, disproportionately impacting children in low-resource settings. Although many cases could respond to antibiotic treatment, the benefits of widely prescribing antibiotics mus... read more 

How biological synapses self-assemble gradient learning.

Proceedings of the National Academy of Sciences of the United States of America
Existing models of learning in the brain explain how given circuits learn, but not how biology could assemble those circuits in the first place. To address this gap, we formulate Self-Assembling Learning-the study of how learning systems can emerge f... read more 

AutoHMD: Scalable and Accurate Validation of Antibody-Antigen Complexes by Heated Molecular Dynamics.

Bioinformatics (Oxford, England)
MOTIVATION: Antibody-antigen (Ab-Ag) interactions are central to immune recognition and widely exploited in therapeutic design, making accurate structural characterization of these complexes a central challenge in the field. While docking and artific... read more 

Inferring binding specificities of human transcription factors with the wisdom of crowds.

Cell reports
DNA motif discovery and, particularly, computational modeling of transcription factor binding motifs, has been a mecca of algorithmic bioinformatics for several decades. Here, we report the results of the largest open community challenge in Inferring... read more 

Understanding consciousness (biological and artificial) as a society of self-schemas.

Proceedings of the National Academy of Sciences of the United States of America
This article argues that human cognition is more than the performance of functions such as memory, decision-making, and attention. The brain also builds schematic models of those cognitive functions and uses those models to monitor, predict, and part... read more