AIMC Topic: Animals

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Neuronal and therapeutic perspectives on empathic pain: A rational insight.

Neuropharmacology
Empathy is the capacity to experience and understand the feelings of others, thereby playing a key role in a person's mental well-being essentially by promoting kindness and a sense of belongingness to the group. However, too much empathy may result ...

Therapeutic potential of Da Cheng Qi Decoction and its ingredients in regulating ferroptosis via the NOX2-GPX4 signaling pathway to alleviate and predict severe acute pancreatitis.

Cellular signalling
OBJECTIVE: This study aimed to elucidate the protective effects of Da Cheng Qi Decoction (DCQD) on severe acute pancreatitis (SAP) by targeting ferroptosis in pancreatic acinar cells and to establish a predictive signature and nomogram for acute panc...

Leveraging machine learning for drug repurposing in rheumatoid arthritis.

Drug discovery today
Rheumatoid arthritis (RA) presents a significant challenge in clinical management because of the dearth of effective drugs despite advances in understanding its mechanisms. Drug repurposing has emerged as a promising strategy to address this gap, off...

Special issue European Journal of Physiology: Artificial intelligence in the field of physiology and medicine.

Pflugers Archiv : European journal of physiology
This special issue presents a collection of reviews on the recent advancements and applications of artificial intelligence (AI) in medicine and physiology. The topics covered include digital histopathology, generative AI, explainable AI (XAI), and et...

SVLearn: a dual-reference machine learning approach enables accurate cross-species genotyping of structural variants.

Nature communications
Structural variations (SVs) are diverse forms of genetic alterations and drive a wide range of human diseases. Accurately genotyping SVs, particularly occurring at repetitive genomic regions, from short-read sequencing data remains challenging. Here,...

Unraveling the power of NAP-CNB's machine learning-enhanced tumor neoantigen prediction.

eLife
In this study, we present a proof-of-concept classical vaccination experiment that validates the in silico identification of tumor neoantigens (TNAs) using a machine learning-based platform called NAP-CNB. Unlike other TNA predictors, NAP-CNB leverag...

Living material-derived intelligent micro/nanorobots.

Biomaterials science
Living materials, which include various types of cells, organelles, and biological components from animals, plants, and microorganisms, have become central to recent investigations in micro and nanorobotics. Living material-derived intelligent micro/...

Innovative construction and application of bile duct organoids: Unraveling the complexity of bile duct diseases and potential therapeutic strategies.

Cancer letters
The biliary system is crucial for liver function, regulating bile production, secretion, and transport. Dysfunctions within this system can lead to various diseases, such as cholangiopathies and biliary fibrosis, which may progress from benign to mal...

Genomic selection in pig breeding: comparative analysis of machine learning algorithms.

Genetics, selection, evolution : GSE
BACKGROUND: The effectiveness of genomic prediction (GP) significantly influences breeding progress, and employing SNP markers to predict phenotypic values is a pivotal aspect of pig breeding. Machine learning (ML) methods are usually used to predict...

Rapid Blood Clot Removal via Remote Delamination and Magnetization of Clot Debris.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Micro/nano-scale robotic devices are emerging as a cutting-edge approach for precision intravascular therapies, offering the potential for highly targeted drug delivery. While employing micro/nanorobotics for stroke treatment is a promising strategy ...