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Alternative Medicine

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

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The use of robots and other automated devices in nurses' work: An integrative review.

BACKGROUND: Future nursing shortages and advanced technological developments mean that robots and au...

The Big Picture on the "AI Turn" for Digital Health: The Internet of Things and Cyber-Physical Systems.

This article offers an analysis of the ways in which digital health innovations are being coproduced...

Prediction of zinc-binding sites using multiple sequence profiles and machine learning methods.

The zinc (Zn) cofactor has been proven to be involved in numerous biological mechanisms and the zinc...

Implications of asymmetric neural activity patterns in the basal ganglia outflow in the integrative neural network model for cervical dystonia.

Cervical dystonia (CD) is characterized by abnormal twisting and turning of the head with associated...

Evidence that recurrent circuits are critical to the ventral stream's execution of core object recognition behavior.

Non-recurrent deep convolutional neural networks (CNNs) are currently the best at modeling core obje...

Mining Implicit Treatment Concepts for Neural Precision Medicine.

Precision medicine (PM) is regarded as an information retrieval (IR) task in which biomedical articl...

Learning mechanisms in cue reweighting.

Feedback has been shown to be effective in shifting attention across perceptual cues to a phonologic...

Magnetic body alignment in migratory songbirds: a computer vision approach.

Several invertebrate and vertebrate species have been shown to align their body relative to the geom...

A motor learning therapeutic intervention for a child with cerebral palsy through a social assistive robot.

Children with cerebral palsy have difficulty to sit, stand, walk, run and jump independently. Thera...

Machine Learning Approach for Determining the Formation of β-Lactam Antibiotic Complexes with Cyclodextrins Using Multispectral Analysis.

The problem of determining the formation of complexes of β-lactam antibiotics with cyclodextrins (CD...

Xrare: a machine learning method jointly modeling phenotypes and genetic evidence for rare disease diagnosis.

PURPOSE: Despite the successful progress next-generation sequencing technologies has achieved in dia...

Prediction of TF-Binding Site by Inclusion of Higher Order Position Dependencies.

Most proposed methods for TF-binding site (TFBS) predictions only use low order dependencies for pre...

The Protective Effects of Ciji-Hua'ai-Baosheng II Formula on Chemotherapy-Treated H Hepatocellular Carcinoma Mouse Model by Promoting Tumor Apoptosis.

Ciji-Hua'ai-Baosheng II Formula (CHB-II-F) is a traditional Chinese medical formula that has been sh...

Integrative Gene Selection on Gene Expression Data: Providing Biological Context to Traditional Approaches.

The advance of high-throughput RNA-Sequencing techniques enables researchers to analyze the complete...

ShenShuai II Recipe Attenuates Apoptosis and Renal Fibrosis in Chronic Kidney Disease by Increasing Renal Blood Flow and Improving Oxygen Consumption.

. Hypoxia plays a significant role in the progression of chronic kidney disease (CKD) and renal fibr...

Neural network analysis of Chinese herbal medicine prescriptions for patients with colorectal cancer.

Traditional Chinese Medicine (TCM) is an experiential form of medicine with a history dating back th...

A Primer on Data Analytics in Functional Genomics: How to Move from Data to Insight?

High-throughput methodologies and machine learning have been central in developing systems-level per...

Dopamine-functionalized upconversion nanoparticles as fluorescent sensors for organophosphorus pesticide analysis.

Organophosphorus pesticide (OP) residues in agricultural products, herbal medicines and environment ...

A Unique Case of Severe Anemia Secondary to Copper Deficiency in an Adult Patient.

Anemia is a frequently encountered problem in the healthcare system. Common causes of anemia include...

Unity and diversity in working memory load: Evidence for the separability of the executive functions updating and inhibition using machine learning.

OBJECTIVE: According to current theoretical models of working memory (WM), executive functions (EFs)...

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