Artificial Intelligence Medical Compendium

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

Showing 48,861 to 48,870 of 224,513 articles

Supporting the creative industries through the AI turn: A comparative analysis of Scottish policy and the needs of Scotland's creative practitioners.

PloS one Feb 19, 2026
In the creative industries (one of the largest UK sectors, which operates at the juncture of business, technology and the arts) creative practitioners are not only consumers of Artificial Intelligence (AI), but also its developers, originators and in... read more 

PAIRNet: Predicting PIWI cleavage specificity via position-aware RNA interaction modeling.

PLoS computational biology Feb 19, 2026
PIWI proteins maintain genome integrity by piRNA-guided cleavage of complementary RNA targets. While Cleave-N'-Seq (CNS-seq) has advanced our understanding of PIWI targeting logic through quantitative mapping of cleavage rates and pairing rules, its ... read more 

DrugReasoner: Interpretable drug approval prediction with a reasoning-augmented language model.

PloS one Feb 19, 2026
Drug discovery is a complex and resource-intensive process, making early prediction of approval outcomes critical for optimizing research investments. While classical machine learning and deep learning methods have shown promise in drug approval pred... read more 

AdaptiveInvolutionNet: Spatially-adaptive involution with channel-wise attention for breast MRI tumor classification.

PloS one Feb 19, 2026
BACKGROUND: Early and accurate classification of breast tumors from MRI scans is essential for improving patient outcomes. However, a key limitation of conventional deep learning models, such as Convolutional Neural Networks (CNNs), is their difficul... read more 

QRBT: Quantum Driven Reinforcement Learning for Scalable Blockchain Transaction Processing.

PloS one Feb 19, 2026
Scaling and Latency Issues Processing blockchain transactions is a challenge with respect to throughput and latency, while also being resilient against quantum adversaries. To overcome these,m this research presents QRBT:Quantum Driven Reinforcement ... read more 

Scenario-based portfolio optimization via bootstrapping and machine learning methods: Theory development and empirical evidence from the Tehran Stock Market.

PloS one Feb 19, 2026
Predicting future returns and modeling return uncertainty are essential yet challenging tasks in portfolio optimization. To address these issues, this study proposes a hybrid approach combining machine learning for return prediction, bootstrapping fo... read more 

Knowledge flows from science to AI technology: Identifying core and brokerage technological roles.

PloS one Feb 19, 2026
The rapid advancement of artificial intelligence (AI) technologies has not only driven convergence with diverse technological domains but also swiftly spread across various industrial sectors. As a knowledge-intensive field, AI is particularly shaped... read more 

A dynamical anthrax toxin nanopore biosensor for high-fidelity single-peptide classification.

PLoS computational biology Feb 19, 2026
Nanopore sensing holds the potential to revolutionize proteomics, yet current methods often rely on ensemble aggregation, where thousands of events must be statistically aggregated or averaged to identify a protein or peptide signature. While effecti... read more 

Design and development of a convolutional neural network based on human cognitive attention mechanism for automatic classification of leukemia.

PloS one Feb 19, 2026
Cancer occurs when healthy cells in the body grow abnormally and out of control. Leukemia is a type of cancer that affects White Blood Cells (WBCs) and can cause a lethal infection and early death. Identification and classification of different types... read more 

Investigating the predictive power of seismic statistical features using ensemble learning.

PloS one Feb 19, 2026
Earthquake prediction is an extremely challenging problem, one that has been in the past (and sometimes still is) claimed to be impossible. Given this undisputed high level of difficulty, work that reports a high level of prediction success might rea... read more 
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