FDA General

Statistical and Machine Learning Methods for eQTL Analysis.

An immense amount of observable diversity exists for all traits and across global populations. In the post-genomic era, equipped with efficient sequencing capabilities and better genotyping methods, we are now able to more fully appreciate how regulation of gene expression is consequential to one's genotypes in coding and non-coding DNA. The identification of genetic loci that contribute to quanti...

[Theoretical Review of Robot Anxiety].

The aim of the study is to describe the effect of robot anxiety. The forming of the concept and the description of similar constructs, like technological anxiety and computer anxiety, is presented through a historical review. Given our current knowledge of this topic it seems that cognitive aspects are the key factors underlying robot anxiety. According to literature dissemination of knowledge app...

Revisiting CRISPR/Cas-mediated crop improvement: Special focus on nutrition.

Genome editing (GE) technology has emerged as a multifaceted strategy that instantaneously popularised the mechanism to modify the genetic constitutio...

LOCALIZATION OF IONIZING RADIATION SOURCES VIA AN AUTONOMOUS ROBOTIC SYSTEM.

The article discusses an autonomous and flexible robotic system for radiation monitoring. The detection part of the system comprises two NaI(Tl) scint...

Regulating Child Sex Robots: Restriction or Experimentation?

In July 2014, the roboticist Ronald Arkin suggested that child sex robots could be used to treat those with paedophilic predilections in the same way ...

Automated A-line coronary plaque classification of intravascular optical coherence tomography images using handcrafted features and large datasets.

We developed machine learning methods to identify fibrolipidic and fibrocalcific A-lines in intravascular optical coherence tomography (IVOCT) images ...

"A patient like me" - An algorithm-based program to inform patients on the likely conditions people with symptoms like theirs have.

To date, consumer health tools available over the web suffer from serious limitations that lead to low quality health- related information. While heal...

Min3: Predict microRNA target gene using an improved binding-site representation method and support vector machine.

MicroRNAs are single-stranded noncoding RNAs known to down-regulate target genes at the protein or mRNA level. Computational prediction of targets is ...

[Study on the Clinical Evaluation of Image-based Artificial Intelligence Aided Diagnosis Software Approved in the United States].

Artificial intelligence, as the breakthrough of current information technology, is gaining importance and being applied in more and more industries. R...

Prediction of Drug Approval After Phase I Clinical Trials in Oncology: RESOLVED2.

PURPOSE: Drug development in oncology currently is facing a conjunction of an increasing number of antineoplastic agents (ANAs) candidate for phase I ...

Reduction of False-Positive Markings on Mammograms: a Retrospective Comparison Study Using an Artificial Intelligence-Based CAD.

The aim was to determine whether an artificial intelligence (AI)-based, computer-aided detection (CAD) software can be used to reduce false positive p...

Pedbothome: Robotically-Assisted Ankle Rehabilitation System For Children With Cerebral Palsy.

Our research team has developed two versions of an ankle robot for children with cerebral palsy. Both devices provide three degrees of freedom and are...

A Control Architecture for Grasp Strength Regulation in Myocontrolled Robotic Hands Using Vibrotactile Feedback: Preliminary Results.

Nowadays, electric-powered hand prostheses do not provide adequate sensory instrumentation and artificial feedback to allow users voluntarily and fine...

High-throughput screening and Bayesian machine learning for copper-dependent inhibitors of Staphylococcus aureus.

One potential source of new antibacterials is through probing existing chemical libraries for copper-dependent inhibitors (CDIs), i.e., molecules with...

Legal, regulatory, and ethical frameworks for development of standards in artificial intelligence (AI) and autonomous robotic surgery.

BACKGROUND: This paper aims to move the debate forward regarding the potential for artificial intelligence (AI) and autonomous robotic surgery with a ...

[The Role and Requirement of Datasets in the Quality Control of Artifcial Intelligence Medical Device].

Artificial intelligence is a blooming branch of medical device. Its development and quality control all rely on high quality clinical data. Since ther...

[Ethics and artificial intelligence in healthcare, towards positive regulation].

The positive regulation of artificial intelligence in healthcare represents a major stake to allow a diffusion of digital innovation, in a spirit of o...

SpliceRover: interpretable convolutional neural networks for improved splice site prediction.

MOTIVATION: During the last decade, improvements in high-throughput sequencing have generated a wealth of genomic data. Functionally interpreting thes...

Combined multivariate analysis and machine learning reveals a predictive module of metabolic stress response in Arabidopsis thaliana.

Abiotic stress exposure of plants induces metabolic reprogramming which is tightly regulated by signalling cascades connecting transcriptional with tr...

Phylogenomics and Infectious Potential of Avian Avulaviruses Species-Type 1 Isolated from Healthy Green-Winged Teal () from a Wetland Sanctuary of Indus River.

Given the importance of (AAvVs) in commercial poultry, continuous monitoring and surveillance in natural reservoirs (waterfowls) is imperative. Here,...