Artificial Intelligence Medical Compendium

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

Showing 15,281 to 15,290 of 213,137 articles

DGAT: a dual-graph attention network for inferring spatial protein landscapes from transcriptomics.

Nature communications May 21, 2026
Spatial transcriptomics (ST) technologies provide genome-wide transcriptomic profiles in tissue context but lack direct protein-level measurements, which are critical for interpreting cellular function and microenvironmental organization. To bridge t... read more 

Robust but independent sex differences in human brain function, structure, and behavior.

Nature communications May 21, 2026
The neurobiological accompaniments of well-established sex differences in human behavior and disease remain unclear - in part due to a lack of large, diverse functional neuroimaging studies. We address this gap using over 700 h of fMRI data across se... read more 

The Brain Imaging and Neurophysiology Dataset of large-scale multimodal neural data.

Scientific data May 21, 2026
The Brain Imaging and Neurophysiology Dataset (BIND) represents one of the largest multi-institutional, multimodal, clinical neuroimaging repositories, comprising 1.8 million brain scans from 38,942 patients, linked to full-text reports and neurophys... read more 

Optimizing hepatitis C diagnosis through reinforcement learning feature selection and multi-model machine learning evaluation.

Scientific reports May 21, 2026
Hepatitis C virus (HCV) infection remains a leading cause of liver cirrhosis and hepatocellular carcinoma globally, affecting approximately 50 million people with chronic infection worldwide. Traditional diagnostic approaches often rely on extensive ... read more 

Bridging laboratory findings and artificial intelligence for the design of TlInTe2 crystals.

Scientific reports May 21, 2026
In our laboratory a specially designed Bridgman technique was utilized to pre- pare single crystals of TlInTe2. The structure of TlInTe2 in powder form was examined by X-ray diffraction, revealing the lattice parameters of a = 8.494 Å and c = 7.181 Å... read more 

Research on optimization of power grid load forecasting models based on deep learning.

Scientific reports May 21, 2026
Precise forecasting of power grid load is essential for maintaining the stability and efficiency of contemporary energy systems. Traditional statistical and machine learning methods often struggle to capture the nonlinear temporal dependencies and dy... read more 

Cross Disease Similarity Awareness Learning (CDSAL) with DenseNet-EfficientNet embedding fusion for high-precision tomato leaf pathology classification with Grad-CAM explainability.

Scientific reports May 21, 2026
The research proposes Cross Disease Similarity Awareness Learning (CDSAL), a robust multiclass tomato leaf disease detection framework based on high-quality and explainable deep learning. The approach solves the problem of superimposed patterns of di... read more 

A deterministic method for quantifying spindle-shaped cells in noisy bright-field microscopy.

Scientific reports May 21, 2026
Accurate quantification of spindle-shaped cells in bright-field microscopy remains challenging due to low contrast, noise, and highly variable cell morphology. Conventional approaches often rely on fluorescent staining or deep learning models, which ... read more 

AI-optimized BPNN model for port safety risk prediction and management.

Scientific reports May 21, 2026
In the field of international port safety management, the traditional Backpropagation Neural Network (BPNN) model is confronted with bottlenecks including limited data processing capability and low optimization efficiency. This study proposes an inte... read more 

A properties prediction strategy of aluminum anode foils through machine learning based on feature selection and stacking learning models.

Scientific reports May 21, 2026
With the rapid development of new energy vehicles, the global demand for aluminum anode foils (AAF) increases continuously. In order to improve the stability and accuracy of properties prediction for AAF, a machine learning-based property prediction ... read more 
Popular Topics
Recent Journals