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Alternative Medicine

Latest AI and machine learning research in alternative medicine for healthcare professionals.

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MethPriorGCN: a deep learning tool for inferring DNA methylation prior knowledge and guiding personalized medicine.

DNA methylation plays a crucial role in human diseases pathogenesis. Substantial experimental eviden...

Benchmarking ensemble machine learning algorithms for multi-class, multi-omics data integration in clinical outcome prediction.

The complementary information found in different modalities of patient data can aid in more accurate...

[Patient-centered medicine in the era of artificial intelligence: what are the possible implications and risks?].

Patient-Centered Care (PCC) is currently recognized as the gold standard for the doctor-patient rela...

Revolutionizing Brain Tumor Detection Using Explainable AI in MRI Images.

Due to the complex structure of the brain, variations in tumor shapes and sizes, and the resemblance...

Evaluating a large language model's ability to answer clinicians' requests for evidence summaries.

OBJECTIVE: This study investigated the performance of a generative artificial intelligence (AI) tool...

Identification of CXCR4 inhibitory activity in natural compounds using cheminformatics-guided machine learning algorithms.

Neurodegenerative disorders are characterised by progressive damage to neurons that leads to cogniti...

ASpdb: an integrative knowledgebase of human protein isoforms from experimental and AI-predicted structures.

Alternative splicing is a crucial cellular process in eukaryotes, enabling the generation of multipl...

scTWAS Atlas: an integrative knowledgebase of single-cell transcriptome-wide association studies.

Single-cell transcriptome-wide association studies (scTWAS) is a new method for conducting TWAS anal...

XLLC-Net: A lightweight and explainable CNN for accurate lung cancer classification using histopathological images.

Lung cancer imaging plays a crucial role in early diagnosis and treatment, where machine learning an...

Integrative Machine Learning of Glioma and Coronary Artery Disease Reveals Key Tumour Immunological Links.

It is critical to appreciate the role of the tumour-associated microenvironment (TME) in developing ...

A Novel Ensemble Approach for Rib Fracture Detection and Visualization using CNNs and Grad-CAM.

AIM: This study aimed to develop a reliable and efficient system for predicting and locating rib fra...

The Metabolic Treatabolome and Inborn Errors of Metabolism Knowledgebase therapy tool: Do not miss the opportunity to treat!

Inborn errors of metabolism (IEMs) are rare genetic conditions with significant morbidity and mortal...

Unsupervised Dimensionality Reduction Techniques for the Assessment of ASD Biomarkers.

Autism Spectrum Disorder (ASD) encompasses a range of developmental disabilities marked by differenc...

Is Generative AI Increasing the Risk for Technology-Mediated Trauma Among Vulnerable Populations?

The proliferation of Generative Artificial Intelligence (Generative AI) has led to an increased reli...

Exploring prognostic biomarkers in pathological images of colorectal cancer patients via deep learning.

Hematoxylin and eosin (H&E) whole slide images provide valuable information for predicting prognosti...

Relation extraction using large language models: a case study on acupuncture point locations.

OBJECTIVE: In acupuncture therapy, the accurate location of acupoints is essential for its effective...

Triangulating evidence in health sciences with Annotated Semantic Queries.

MOTIVATION: Integrating information from data sources representing different study designs has the p...

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