Alternative Medicine

DeepBtoD: Improved RNA-binding proteins prediction via integrated deep learning.

RNA-binding proteins (RBPs) have crucial roles in various cellular processes such as alternative spl...

One Cell At a Time (OCAT): a unified framework to integrate and analyze single-cell RNA-seq data.

Integrative analysis of large-scale single-cell RNA sequencing (scRNA-seq) datasets can aggregate co...

A Single Model Deep Learning Approach for Alzheimer's Disease Diagnosis.

Early and accurate diagnosis of Alzheimer's disease (AD) and its prodromal period mild cognitive imp...

The Future Ethics of Artificial Intelligence in Medicine: Making Sense of Collaborative Models.

This article examines the role of medical doctors, AI designers, and other stakeholders in making ap...

Artificial intelligence in veterinary medicine.

Artificial intelligence (AI) is a branch of computer science in which computer systems are designed ...

A visually interpretable detection method combines 3-D ECG with a multi-VGG neural network for myocardial infarction identification.

BACKGROUND AND OBJECTIVE: The automatic recognition of myocardial infarction (MI) by artificial inte...

Automated preparation of cytotoxic drugs: the evidence for an interface between the robot and computerized provider order entry?

New Evidence and Innovative Approaches to Blinding in Robot-assisted Radical Cystectomy.

Multitask deep learning with dynamic task balancing for quantum mechanical properties prediction.

Predicting quantum mechanical properties (QMPs) is very important for the innovation of material and...

Enabling Eating Detection in a Free-living Environment: Integrative Engineering and Machine Learning Study.

BACKGROUND: Monitoring eating is central to the care of many conditions such as diabetes, eating dis...

Using artificial intelligence methods for systematic review in health sciences: A systematic review.

The exponential increase in published articles makes a thorough and expedient review of literature i...

High-Grade Glioma Treatment Response Monitoring Biomarkers: A Position Statement on the Evidence Supporting the Use of Advanced MRI Techniques in the Clinic, and the Latest Bench-to-Bedside Developments. Part 2: Spectroscopy, Chemical Exchange Saturation, Multiparametric Imaging, and Radiomics.

OBJECTIVE: To summarize evidence for use of advanced MRI techniques as monitoring biomarkers in the ...

On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer.

Early detection and mitigation of disease recurrence in non-small cell lung cancer (NSCLC) patients ...

Controversial Trials First: Identifying Disagreement Between Clinical Guidelines and New Evidence.

Clinical guidelines integrate latest evidence to support clinical decision-making. As new research f...

Artificial intelligence enabled automated diagnosis and grading of ulcerative colitis endoscopy images.

Endoscopic evaluation to reliably grade disease activity, detect complications including cancer and ...

The diagnostic levels of evidence of instrumented devices for measuring viscoelastic joint properties and spasticity; a systematic review.

BACKGROUND: Many diagnostic robotic devices have been developed to quantify viscoelastic properties ...

Publishing fast and slow: A path toward generalizability in psychology and AI.

Artificial intelligence (AI) shares many generalizability challenges with psychology. But the fields...

Representation Learning for the Clustering of Multi-Omics Data.

The integration of several sources of data for the identification of subtypes of diseases has gained...

Research Note: Study on the antibacterial activity of Chinese herbal medicine against Aspergillus flavus and Aspergillus fumigatus of duck origin in laying hens.

Aspergillus flavus and Aspergillus fumigatus were derived and identified from the ducks infected wit...

ICEO, a biological ontology for representing and analyzing bacterial integrative and conjugative elements.

Bacterial integrative and conjugative elements (ICEs) are highly modular mobile genetic elements cri...

Classification of rotator cuff tears in ultrasound images using deep learning models.

Rotator cuff tears (RCTs) are one of the most common shoulder injuries, which are typically diagnose...