Ethics

AI Methods in Bioethics.

The Ethics of Medical AI and the Physician-Patient Relationship.

This article considers recent ethical topics relating to medical AI. After a general discussion of r...

Recent Advances on the Semi-Supervised Learning for Long Non-Coding RNA-Protein Interactions Prediction: A Review.

In recent years, more and more evidence indicates that long non-coding RNA (lncRNA) plays a signific...

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 alter...

The analysis of pharmacokinetic and pharmacogenomic impact on gefitinib efficacy in advanced non-small cell lung cancer patients: results from a prospective cohort study.

BACKGROUND: The current study is aimed to examine the impact of pharmacokinetics and gene polymorphi...

Differentiation of non-small cell lung cancer and histoplasmosis pulmonary nodules: insights from radiomics model performance compared with clinician observers.

BACKGROUND: Histoplasmosis pulmonary nodules often present in computed tomography (CT) imaging with ...

Deep convolutional neural network for reduction of contrast-enhanced region on CT images.

This study aims to produce non-contrast computed tomography (CT) images using a deep convolutional n...

Healing Relationships.

In a 2015 Hastings Center Report essay, Robert Truog and his coauthors argued that the clinical ethi...

Machine-Learning and Stochastic Tumor Growth Models for Predicting Outcomes in Patients With Advanced Non-Small-Cell Lung Cancer.

PURPOSE: The prediction of clinical outcomes for patients with cancer is central to precision medici...

TAGOOS: genome-wide supervised learning of non-coding loci associated to complex phenotypes.

Genome-wide association studies (GWAS) associate single nucleotide polymorphisms (SNPs) to complex p...

Validating Auto-Suggested Changes for SNOMED CT in Non-Lattice Subgraphs Using Relational Machine Learning.

An attractive feature of non-lattice-based ontology auditing methods is its ability to not only iden...

Impact of De-Identification on Clinical Text Classification Using Traditional and Deep Learning Classifiers.

Clinical text de-identification enables collaborative research while protecting patient privacy and ...

International AI ethics panel must be independent.

Uncovering the mouse olfactory long non-coding transcriptome with a novel machine-learning model.

Very little is known about long non-coding RNAs (lncRNAs) in the mammalian olfactory sensory epithel...

DeepCNPP: Deep Learning Architecture to Distinguish the Promoter of Human Long Non-Coding RNA Genes and Protein-Coding Genes.

Promoter region of protein-coding genes are gradually being well understood, yet no comparable studi...

Precise Heart Rate Measurement Using Non-contact Doppler Radar Assisted by Machine-Learning-Based Sleep Posture Estimation.

Non-contact and continuous heart rate measurement using Doppler radar is important for various healt...

Effect of Visual Information on Dominant and Non-dominant Hands During Bimanual Drawing with a Robotic Platform.

In a stable bimanual trajectory tracing task with interlimb spatial and temporal synchrony, blocking...

[Model-based treatment in surgery].

BACKGROUND: The "magic triangle" in surgery and other disciplines consists of the demand for increas...

Validity of Natural Language Processing for Ascertainment of and Test Results in SEER Cases of Stage IV Non-Small-Cell Lung Cancer.

PURPOSE: SEER registries do not report results of epidermal growth factor receptor () and anaplastic...

Too Many False Targets for MicroRNAs: Challenges and Pitfalls in Prediction of miRNA Targets and Their Gene Ontology in Model and Non-model Organisms.

Short ("seed") or extended base pairing between microRNAs (miRNAs) and their target RNAs enables pos...

Machine learning-based predictors for immune checkpoint inhibitor therapy of non-small-cell lung cancer.