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Alternative Medicine

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

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Artificial Intelligence in Cardiology: Present and Future.

Artificial intelligence (AI) is a nontechnical, popular term that refers to machine learning of vari...

Comparing open-radical cystectomy and robot-assisted radical cystectomy: current status and analysis of the evidence.

PURPOSE OF REVIEW: Radical cystectomy is the definitive surgical treatment for aggressive bladder ca...

The neXtProt knowledgebase in 2020: data, tools and usability improvements.

The neXtProt knowledgebase (https://www.nextprot.org) is an integrative resource providing both data...

Mediated Synthesis of Silver Nanoparticles and Its Evaluation of Antineoplastic Activity to Combat Colorectal Cancer Cell Line.

Several formulations of herbal plants have been extensively applied to treat diseases. ( is an Iran...

On stethoscopes, patient records, artificial intelligence, and zettabytes: A glimpse into the future of digital medicine in Mexico.

Science and technology are modifying medicine at a dizzying pace. Although access in our country to ...

On stethoscopes, patient records, artificial intelligence and zettabytes: a glimpse into the future of digital medicine in Mexico.

Science and technology are modifying medicine at a dizzying pace. Although access in our country to ...

Positive Predictive Value Surfaces as a Complementary Tool to Assess the Performance of Virtual Screening Methods.

BACKGROUND: Since their introduction in the virtual screening field, Receiver Operating Characterist...

Density and Distinctiveness in Early Word Learning: Evidence From Neural Network Simulations.

High phonological neighborhood density has been associated with both advantages and disadvantages in...

The Mortality and Medical Costs of Air Pollution: Evidence from Changes in Wind Direction.

We estimate the causal effects of acute fine particulate matter exposure on mortality, health care u...

Enhancing the prediction of disease-gene associations with multimodal deep learning.

MOTIVATION: Computationally predicting disease genes helps scientists optimize the in-depth experime...

Analysis of machine learning algorithms as integrative tools for validation of next generation sequencing data.

OBJECTIVE: While next generation sequencing (NGS) has become the technology of choice for clinical d...

Robot Diagnosis Test for Egocentric and Allocentric Hemineglect.

OBJECTIVE: Patients with hemineglect fail to respond to egocentric stimuli or allocentric parts of s...

Real-World Evidence, Causal Inference, and Machine Learning.

The current focus on real world evidence (RWE) is occurring at a time when at least two major trends...

Socially Assistive Robots for Helping Pediatric Distress and Pain: A Review of Current Evidence and Recommendations for Future Research and Practice.

OBJECTIVES: Interacting with socially assistive robots (SAR) has been shown to influence human behav...

canSAR: update to the cancer translational research and drug discovery knowledgebase.

canSAR (http://cansar.icr.ac.uk) is a public, freely available, integrative translational research a...

Building a livestock genetic and genomic information knowledgebase through integrative developments of Animal QTLdb and CorrDB.

Successful development of biological databases requires accommodation of the burgeoning amounts of d...

Social Robots as a Complementary Therapy in Chronic, Progressive Diseases.

Globally, the world population is ageing, which increases the prevalence of non-communicable disease...

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