Artificial Intelligence Medical Compendium

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

Showing 21,011 to 21,020 of 216,088 articles

[Driver gene mutations predicted by pathology-foundation-model and their clinical associations in clear cell renal cell carcinoma].

Zhonghua bing li xue za zhi = Chinese journal of pathology May 8, 2026
Objective: To evaluate the performance of a deep learning framework based on the PathOrchestra pathology foundation model for predicting key driver gene mutations (VHL, PBRM1, BAP1, and SETD2) in clear cell renal cell carcinoma (ccRCC), and to analyz... read more 

Reactive machine learning potential for accelerating transition state search in organic synthesis.

Nature communications May 8, 2026
Understanding reaction kinetics is fundamental to organic synthesis, yet traditional quantum chemistry-based transition state searches are computationally expensive. Here we present DeePEST-OS, a reactive machine learning potential designed for rapid... read more 

Flux sampling and graph neural networks for improved gene essentiality prediction in mammalian genome-scale metabolic models.

NPJ systems biology and applications May 8, 2026
Gene essentiality, the requirement of a gene for survival or proliferation, is central to understanding cellular processes and identifying drug targets. Experimental determination requires large growth screens that are time-consuming and expensive, m... read more 

An image dataset of Chinese hickory in natural orchards.

Scientific data May 8, 2026
We present CaryaData, an image dataset of Chinese hickory (Carya cathayensis Sarg.) fruit maturity acquired in natural orchards in Zhejiang Province, China. The dataset comprises 1,661 canopy images (3024 × 3024 pixels) spanning key developmental sta... read more 

Attention-driven fusion of sequential and graph neural models for insider threat detection in UEBA.

Scientific reports May 8, 2026
Insider threats remain among the most critical challenges in cybersecurity, as malicious or compromised employees can bypass traditional defences and cause disproportionate damage to organizations. Detecting such threats is difficult because anomalou... read more 

Piezochromic hydrogels for physically unclonable optical anti-counterfeiting with machine-learning assisted automatic identification.

Nature communications May 8, 2026
Developing high-security anticounterfeiting with reliable authentication remains a significant challenge in preventing information leakage and economic losses from counterfeiting. Here, we successfully reported physically uncopiable optical system ba... read more 

Intelligent system for portfolio optimization for novel volatility forecasting using machine learning.

Scientific reports May 8, 2026
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Reducing social biases in text-based emotion prediction using semantic blinding and semantic propagation graph neural networks.

Scientific reports May 8, 2026
This paper introduces the Semantic Propagation Graph Neural Network (SProp GNN), a machine learning emotion prediction (EP) architecture that relies exclusively on syntactic structures and word-level emotional cues to predict emotions in text. By sem... read more 

A hybrid transformer-GNN framework for social governance and urban service allocation.

Scientific reports May 8, 2026
The proposed study puts forward an artificial intelligence-based framework to predict the needs of the urban public services and aid resource allocation based on data in the current social governance systems. A hybrid deep learning model is designed ... read more 

Deep learning framework for determining earthquake focal mechanisms with application to the Campi Flegrei caldera.

Scientific reports May 8, 2026
We present DeepFoc, a novel deep learning framework for estimating earthquake focal mechanisms from P-wave polarities and amplitudes, specifically designed for low-to-moderate magnitude events in complex tectonic settings. Trained entirely on synthet... read more 
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