Artificial Intelligence Medical Compendium

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

Showing 52,321 to 52,330 of 225,279 articles

Machine learning-driven multi-objective optimization of Dunaliella salina cultivation for enhanced biomass and β-carotene production.

Bioresource technology Feb 9, 2026
This study presented an interpretable multi-objective machine learning (ML) framework to navigate the trade-off between biomass accumulation and β-carotene production in Dunaliella salina. Models were developed from 1,494 data points spanning 637 Lat... read more 

Methodological Considerations Regarding Machine Learning Prognostic Models after EVAR.

Annals of vascular surgery Feb 9, 2026
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Proteomics-driven innovations in plant-based foods: Current advances, emerging technologies, and future perspectives.

Journal of proteomics Feb 9, 2026
Despite rapid market growth, plant-based foods such as meat analogs, plant-based milk, yogurt alternatives, and fermented products still fall short of matching the sensory, structural, and nutritional qualities of animal-based counterparts, primarily... read more 

Sparsity and memory constraints interact with training sequence to bias learning of associative maps.

Neuropsychologia Feb 9, 2026
Cognitive maps support inference and planning by representing associations between experiences encoded in memory. These map-like representations are thought to carry information not only about directly observed links but also about longer paths. The ... read more 

Harnessing the power of Squidle+ to develop flexible machine learning models.

Marine environmental research Feb 9, 2026
While our ability to capture seafloor imagery has expanded dramatically, extracting information remains a major bottleneck, as annotation is still largely manual, time-consuming, and costly. Machine Learning (ML) classifiers offer a promising solutio... read more 

TF-LLM: Enhanced time series analysis with time-frequency large language models.

Neural networks : the official journal of the International Neural Network Society Feb 9, 2026
In recent years, pre-trained large language models (LLMs) are gradually introduced into time series analysis, and researchers have observed their significant potential for multi-task reasoning, particularly in handling complex symbolic sequences. How... read more 

Matrix-weighted consensus of fractional-order networked systems via sampled-data control.

Neural networks : the official journal of the International Neural Network Society Feb 9, 2026
This paper addresses the consensus in fractional-order networked systems with matrix-weighted coupling, where the interactions of agents are characterized by positive definite or positive semi-definite matrices. A distributed sample-based control str... read more 

Integrated LIBS-Raman spectroscopy coupled with explainable machine learning for biochemical characterization of melanoma.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Feb 9, 2026
Melanoma remains one of the most aggressive and lethal cutaneous malignancies, underscoring the need for objective and label-free diagnostic methods that complement traditional histopathology. In this study, Laser-Induced Breakdown Spectroscopy (LIBS... read more 

Learning fair representation for fine-tuning pre-trained language models.

Neural networks : the official journal of the International Neural Network Society Feb 9, 2026
Pre-trained language models (PLMs) have achieved remarkable success across a wide range of natural language processing tasks, including text classification, machine translation, and question-answering systems, by leveraging vast amounts of unlabeled ... read more 

Unveiling key descriptors via machine learning: toward rational molecular design of chromophores with excited-state intramolecular proton transfer.

Chemical science Feb 9, 2026
Precise design of excited-state intramolecular proton transfer (ESIPT) molecules targeting advanced optoelectronic or biological sensing applications presents a fundamental challenge. Controlling the energy difference (ΔE*) between normal (N*) and ta... read more 
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