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Alternative Medicine

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

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The Role and Promise of Artificial Intelligence in Medical Toxicology.

Artificial intelligence (AI) refers to machines or software that process information and interact wi...

Diagnostic accuracy and potential covariates for machine learning to identify IDH mutations in glioma patients: evidence from a meta-analysis.

OBJECTIVES: To assess the diagnostic accuracy of machine learning (ML) in predicting isocitrate dehy...

Artificial intelligence and machine learning in respiratory medicine.

: The application of artificial intelligence (AI) and machine learning (ML) in medicine and in parti...

Applying deep learning to single-trial EEG data provides evidence for complementary theories on action control.

Efficient action control is indispensable for goal-directed behaviour. Different theories have stres...

Exploring the effect of hypertension on retinal microvasculature using deep learning on East Asian population.

Hypertension is the leading risk factor of cardiovascular disease and has profound effects on both t...

Comparing machine and human reviewers to evaluate the risk of bias in randomized controlled trials.

BACKGROUND: Evidence from new health technologies is growing, along with demands for evidence to inf...

GP-CNN-DTEL: Global-Part CNN Model With Data-Transformed Ensemble Learning for Skin Lesion Classification.

Precise skin lesion classification is still challenging due to two problems, i.e., (1) inter-class s...

Biarticular muscles in light of template models, experiments and robotics: a review.

Leg morphology is an important outcome of evolution. A remarkable morphological leg feature is the e...

Searching for the Big Pictures.

My goal in searching for the big pictures is to discover novel ways of organizing information in psy...

scAI: an unsupervised approach for the integrative analysis of parallel single-cell transcriptomic and epigenomic profiles.

Simultaneous measurements of transcriptomic and epigenomic profiles in the same individual cells pro...

Semi-Automated evidence synthesis in health psychology: current methods and future prospects.

The evidence base in health psychology is vast and growing rapidly. These factors make it difficult ...

Machine Learning and Network Analyses Reveal Disease Subtypes of Pancreatic Cancer and their Molecular Characteristics.

Given that the biological processes governing the oncogenesis of pancreatic cancers could present us...

Beyond the Randomized Clinical Trial: Innovative Data Science to Close the Pediatric Evidence Gap.

Despite the application of advanced statistical and pharmacometric approaches to pediatric trial dat...

Positive Emotions, More Than Anxiety or Other Negative Emotions, Predict Willingness to Interact With Robots.

Like early work on human intergroup interaction, previous research on people's willingness to intera...

Characterizing Protein-Ligand Binding Using Atomistic Simulation and Machine Learning: Application to Drug Resistance in HIV-1 Protease.

Over the past several decades, atomistic simulations of biomolecules, whether carried out using mole...

Multifactorial Deep Learning Reveals Pan-Cancer Genomic Tumor Clusters with Distinct Immunogenomic Landscape and Response to Immunotherapy.

PURPOSE: Tumor genomic features have been of particular interest because of their potential impact o...

Control of speaking rate is achieved by switching between qualitatively distinct cognitive "gaits": Evidence from simulation.

That speakers can vary their speaking rate is evident, but how they accomplish this has hardly been ...

Are All Deep Learning Architectures Alike for Point-of-Care Ultrasound?: Evidence From a Cardiac Image Classification Model Suggests Otherwise.

OBJECTIVES: Little is known about optimal deep learning (DL) approaches for point-of-care ultrasound...

Construction of arming Yarrowia lipolytica surface-displaying soybean seed coat peroxidase for use as whole-cell biocatalyst.

Whole-cell biocatalysts could be used in wide-ranging applications. In this study, a new kind of who...

Morphological Neuroimaging Biomarkers for Tinnitus: Evidence Obtained by Applying Machine Learning.

According to previous studies, many neuroanatomical alterations have been detected in patients with ...

Medical education trends for future physicians in the era of advanced technology and artificial intelligence: an integrative review.

BACKGROUND: Medical education must adapt to different health care contexts, including digitalized he...

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