Menopause

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...

Prediction of Clinical Events in Hemodialysis Patients Using an Artificial Neural Network.

Advanced chronic kidney disease (CKD) requires routine renal replacement therapy (RRT) that involves...

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...

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...

Artificial intelligence, osteoporosis and fragility fractures.

PURPOSE OF REVIEW: Artificial intelligence tools have found new applications in medical diagnosis. T...

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...

Method for Muscle Tone Monitoring During Robot-Assisted Therapy of Hand Function: A Proof of Concept.

Robot-assisted rehabilitation of hand function is becoming an established approach to complement con...

Dissecting celastrol with machine learning to unveil dark pharmacology.

By coalescing bespoke machine learning and bioinformatics analyses with cell-based assays, we unveil...

A novel machine learning-derived decision tree including uPA/PAI-1 for breast cancer care.

Background uPA and PAI-1 are breast cancer biomarkers that evaluate the benefit of chemotherapy (CT)...

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.

Non-Gaussian Methods for Causal Structure Learning.

Causal structure learning is one of the most exciting new topics in the fields of machine learning a...

Identification of hormone binding proteins based on machine learning methods.

The soluble carrier hormone binding protein (HBP) plays an important role in the growth of human and...

Machine learning approaches to decipher hormone and HER2 receptor status phenotypes in breast cancer.

Breast cancer prognosis and administration of therapies are aided by knowledge of hormonal and HER2 ...

[Effects of long non-coding RNA RP1-90L14.1 on the biological behaviors of cancer prostate LNCaP cells and its regulating mechanisms].

OBJECTIVE: To investigate the effects of long non-coding RNA RP1-90L14.1 on the proliferation, migra...

Robotic PCI: Evolving from novel toward non-inferior.

Robotic-assisted PCI appears to be safe and feasible in both simple and complex lesions. In this sma...

Stability properties of neural networks with non-instantaneous impulses.

In this paper, we consider neural networks in the case when the neurons are subject to a certain imp...

A neuromorphic systems approach to in-memory computing with non-ideal memristive devices: from mitigation to exploitation.

Memristive devices represent a promising technology for building neuromorphic electronic systems. In...