Exercise & Fitness

Deep-learning approach to identifying cancer subtypes using high-dimensional genomic data.

MOTIVATION: Cancer subtype classification has the potential to significantly improve disease prognosis and develop individualized patient management. Existing methods are limited by their ability to handle extremely high-dimensional data and by the influence of misleading, irrelevant factors, resulting in ambiguous and overlapping subtypes.

DeepCOP: deep learning-based approach to predict gene regulating effects of small molecules.

MOTIVATION: Recent advances in the areas of bioinformatics and chemogenomics are poised to accelerate the discovery of small molecule regulators of cell development. Combining large genomics and molecular data sources with powerful deep learning techniques has the potential to revolutionize predictive biology. In this study, we present Deep gene COmpound Profiler (DeepCOP), a deep learning based m...

Classification Techniques for Cardio-Vascular Diseases Using Supervised Machine Learning.

INTRODUCTION: The World Health Organization has estimated that 12 million deaths occur worldwide, every year due to Heart diseases. Half the deaths in...

[Role of artificial intelligence in the diagnosis and treatment of gastrointestinal diseases].

The rapid development of computer technologies brings us great changes in daily life and work. Artificial intelligence is a branch of computer science...

Artificial intelligence-based multi-objective optimization protocol for protein structure refinement.

MOTIVATION: Protein structure refinement is an important step of protein structure prediction. Existing approaches have generally used a single scorin...

[A Wearable System for Cervical Spondylosis Prevention Based on Artificial Intelligence].

Accompanied by changes in modern work and lifestyle, the incidence of cervical spondylosis has increased year by year. In view of the fact long-term f...

Efficacy of an Automated Robotic Cleaning Device for Compounding Pharmacies.

Compounded medicinal products should be prepared using an appropriate quality-assurance system. Cleaning and disinfection, as part of this system, are...

Deep representation learning for domain adaptable classification of infrared spectral imaging data.

MOTIVATION: Applying infrared microscopy in the context of tissue diagnostics heavily relies on computationally preprocessing the infrared pixel spect...

Deep learning on chaos game representation for proteins.

MOTIVATION: Classification of protein sequences is one big task in bioinformatics and has many applications. Different machine learning methods exist ...

circDeep: deep learning approach for circular RNA classification from other long non-coding RNA.

MOTIVATION: Over the past two decades, a circular form of RNA (circular RNA), produced through alternative splicing, has become the focus of scientifi...

Feasibility of supplemental robot-assisted knee flexion exercise following total knee arthroplasty.

BACKGROUND: The Hybrid Assistive Limb (HAL) is a robotic exoskeleton designed to support impaired limbs.

[Robotic recovery of walking function in patients in the early recovery period of stroke].

OBJECTIVE: To compare the efficacy of walking function recovery in patients in the early recovery period of ischemic stroke (IS) using an exoskeleton ...

FP2VEC: a new molecular featurizer for learning molecular properties.

MOTIVATION: One of the most successful methods for predicting the properties of chemical compounds is the quantitative structure-activity relationship...

PycnoRacer®, a fitness drink including Pycnogenol®, improves recovery and training in the Cooper test.

BACKGROUND: This study evaluates the effects of training (on running distance measured with a Cooper test) in 3 weeks in non-professional athletes usi...

Develop machine learning-based regression predictive models for engineering protein solubility.

MOTIVATION: Protein activity is a significant characteristic for recombinant proteins which can be used as biocatalysts. High activity of proteins red...

20th Annual Feigenbaum Lecture: Echocardiography for Precision Medicine-Digital Biopsy to Deconstruct Biology.

Heart failure with preserved ejection fraction (HFpEF) is a complex, heterogeneous syndrome in need of improved classification given its high morbidit...

Classical scoring functions for docking are unable to exploit large volumes of structural and interaction data.

MOTIVATION: Studies have shown that the accuracy of random forest (RF)-based scoring functions (SFs), such as RF-Score-v3, increases with more trainin...

Designing and executing a functional exercise to test a novel informatics tool for mass casualty triage.

OBJECTIVE: The testing of informatics tools designed for use during mass casualty incidents presents a unique problem as there is no readily available...

Sarcopenia feature selection and risk prediction using machine learning: A cross-sectional study.

The purpose of this study was to verify the usefulness of machine learning (ML) for selection of risk factors and development of predictive models for...

Beyond therapists: Technology-aided physical MS rehabilitation delivery.

In the last decade, rehabilitation technology has been developed, investigated, and entered specialized clinical settings. In this chapter, we first d...