AI Medical Compendium

Removal of Cr (VI) from wastewater using bentonite as adsorbent: Experimental and Machine Learning investigations.

Scientific reports May 13, 2026

Bentonite material was prepared and examined for the adsorptive removal of Cr (VI) from an aqueous solution. The bentonite was characterized by XRD, FTIR, SEM-EDS, BET and DLS analyses. The experimental design optimization results for the adsorption ... read more

Multimodal interpretable deep learning for transcriptome-informed precision oncology and drug mechanism analysis.

NPJ digital medicine May 13, 2026

Precision oncology faces critical challenges in interpreting complex cellular signals and predicting drug responses across heterogeneous cancer environments. Here, we present BioGDR, a multimodal interpretable deep learning framework that integrates ... read more

Single-cell and deep learning identify hypoxia-responsive lncRNAs predicting outcomes in colorectal cancer.

NPJ precision oncology May 13, 2026

Emerging evidence highlights hypoxia-responsive long non-coding RNAs (lncRNAs) as potential modulators in tumor biology. In this study, we explored the significance of a hypoxia-responsive lncRNA molecular signature (HRLPMS) and the therapeutic impli... read more

A two-stage differential evolution algorithm for neural ensemble architecture search.

Scientific reports May 13, 2026

Neural ensembles, comprising multiple heterogeneous neural networks, show promise in machine learning tasks. Their efficacy depends on architecture design, traditionally relying on deep learning expertise. Neural ensemble architecture search methods ... read more

Robust automatic soft tissue flap segmentation using a challenging case-enriched nnU-Net in head and neck CT images.

Scientific reports May 13, 2026

Reconstructive surgery with a flap makes the definition of postoperative radiotherapy volumes challenging. It may also result in errors in automatic segmentation atlases of organ-at-risk and nodal volumes. Automating flap segmentation process could a... read more

Harnessing hybrid stacking ensemble learning for accurate pulmonary embolism diagnosis using tabular clinical data.

Scientific reports May 13, 2026

Pulmonary Embolism (PE) is a serious condition that can be life-threatening if not diagnosed promptly as timely clinical decisions are critical. This research aims to present a hybrid stacking ensemble (HSE) framework for PE prediction using tabular ... read more

Radiomics model integrating MRI and ECV enhances prediction accuracy for progression in high-grade glioma.

NPJ precision oncology May 13, 2026

Glioma is the most common primary brain tumor, with high-grade glioma (HGG) posing significant clinical challenges due to its poor survival outcomes. One-year tumor recurrence indicates a poor prognosis, making accurate progression risk prediction mo... read more

Altered effective connectivity between the prefrontal cortex and caudate in children with overweight and obesity.

International journal of obesity (2005) May 13, 2026

OBJECTIVE: This study aimed to examine the interaction patterns between the reward and inhibitory control systems in children with overweight and obesity. METHODS: Resting-state fMRI data were collected at baseline from 38 children with overweight an... read more

State media control shapes LLM behaviour by influencing training data.

Nature May 13, 2026

The hunt for the next antibiotics.

Nature May 13, 2026

Artificial Intelligence Medical Compendium

Removal of Cr (VI) from wastewater using bentonite as adsorbent: Experimental and Machine Learning investigations.

Multimodal interpretable deep learning for transcriptome-informed precision oncology and drug mechanism analysis.

Single-cell and deep learning identify hypoxia-responsive lncRNAs predicting outcomes in colorectal cancer.

A two-stage differential evolution algorithm for neural ensemble architecture search.

Robust automatic soft tissue flap segmentation using a challenging case-enriched nnU-Net in head and neck CT images.

Harnessing hybrid stacking ensemble learning for accurate pulmonary embolism diagnosis using tabular clinical data.

Radiomics model integrating MRI and ECV enhances prediction accuracy for progression in high-grade glioma.

Altered effective connectivity between the prefrontal cortex and caudate in children with overweight and obesity.

State media control shapes LLM behaviour by influencing training data.

The hunt for the next antibiotics.

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