Artificial Intelligence Medical Compendium

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

Showing 24,271 to 24,280 of 217,425 articles

Lipase-Catalyzed Enantioselective Resolution of Chiral Pesticides and Herbicides: Advances in Biocatalysis and Enzyme Engineering.

Journal of agricultural and food chemistry
Chiral pesticides and herbicides (CPHs) show significant enantioselective differences in bioactivity, toxicity, and environmental behavior, making single-enantiomer production highly desirable for better efficacy and lower ecological risk. Among exis... read more 

HLABrew for Human Leukocyte Antigen Class I-Presented Epitope Recognition and Mimotope Discovery.

Journal of chemical information and modeling
Accurate identification of human leukocyte antigen (HLA) class I-presented epitopes is essential for developing personalized vaccines and immunotherapies. Here, we present HLABrew, a unified deep learning framework for HLA class I epitope prediction ... read more 

Serum-Free Media in Cellular Agriculture: Current Challenges, Design Strategies, and Future Prospects.

Journal of agricultural and food chemistry
Cellular agriculture (CA), an emerging and sustainable agricultural paradigm, offers a promising solution to global challenges in food security and environmental sustainability. However, the large-scale manufacturing of CA is hindered by its dependen... read more 

Machine learning-enabled implantable plant biomarker sensor for early detection and classification of acid and salt stress.

Nature communications
Abiotic stresses, particularly acid and salt stress, severely limit plant productivity. Conventional detection is often hindered by physiological lags and phenotypic latency. Here, we develop a machine learning-enabled implantable plant biomarker sen... read more 

Single-neuron network topology governs neural computation and learning in primate cortex.

Nature communications
Neural networks underlie complex brain information processing, yet the role of their single-neuron topology in governing computation and behavior remains unclear, particularly regarding how it shapes individual neuron function and activity evolution ... read more 

Microinterventional in-sensor computing system for real-time metabolic health assessment.

Nature communications
Microneedle biosensors enable dynamic monitoring of interstitial fluid biomarkers, but remain constrained by sensing interface susceptibility to motion artifacts and the prohibitive energy consumption of wireless cloud-based processing. Here, we repo... read more 

A benchmark multimodal oro-dental dataset for large vision-language models.

Scientific data
The advancement of artificial intelligence in oral healthcare relies on the availability of large-scale multimodal datasets that capture the complexity of clinical practice. In this paper, we present a comprehensive multimodal dataset, comprising 877... read more 

Feasibility of forecasting self-injurious behavior among autistic youth using wearable sensors and machine learning models.

Scientific reports
Self-injurious behavior (SIB) is a substantial clinical challenge for many individuals on the autism spectrum, and support strategies are often only reactive. Forecasting of SIB could enable timely support, especially using wearable sensors, but its ... read more 

Localized heat induces ERK activation and signal propagation in solid tumors.

Scientific reports
Localized plasmonic heating by metallic nanoparticles offers a promising strategy to destroy cancer cells through controlled thermal stress. However, how cells sense and respond to microscale temperature variations within complex tissue environments ... read more