Menopause

TVAR: assessing tissue-specific functional effects of non-coding variants with deep learning.

MOTIVATION: Analysis of whole-genome sequencing (WGS) for genetics is still a challenge due to the l...

No means 'No': a non-improper modeling approach, with embedded speculative context.

MOTIVATION: The medical data are complex in nature as terms that appear in records usually appear in...

HLAncPred: a method for predicting promiscuous non-classical HLA binding sites.

Human leukocyte antigens (HLA) regulate various innate and adaptive immune responses and play a cruc...

Research on multi-parameter fusion non-invasive blood glucose detection method based on machine learning.

OBJECTIVE: Traditional blood glucose testing methods have several disadvantages, such as high pain a...

Non-invasive imaging through scattering medium and around corners beyond 3D memory effect.

The three-dimensional (3D) memory effect (ME) has been shown to exist in a variety of scattering sce...

Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study.

BACKGROUND: Artificial intelligence (AI) and deep learning have shown great potential in streamlinin...

Long-Term Outcome of Non-antireflux Robotic-Assisted Robot-Assisted Laparoscopic Ureter Reimplantation in Ureteral Obstruction.

Although robot-assisted laparoscopic ureter reimplantation (RALUR) is a recognized alternative to o...

Clinical significance of hepatic function in Graves disease with type 2 diabetic mellitus: A single-center retrospective cross-sectional study in Taiwan.

Graves disease (GD) and type 2 diabetes mellitus (T2DM) both impair liver function; we therefore exp...

Application of non-negative matrix factorization in oncology: one approach for establishing precision medicine.

The increase in the expectations of artificial intelligence (AI) technology has led to machine learn...

Development of Needle Guide Unit Considering Buckling Bone-Perforation Control Strategy Based on Computed Tomography-Guided Needle Insertion Robot.

A computed tomography (CT)-guided robotic assistance system is useful for needle insertion into meta...

Non-Contact REM Sleep Estimation Correction by Time-Series Confidence of Predictions: From Binary to Continuous Prediction in Machine Learning for Biological Data.

This paper focuses on the REM sleep estimation with bio-vibration data acquired from mattress sensor...

Deep learning based non-contact physiological monitoring in Neonatal Intensive Care Unit.

Preterm babies in the Neonatal Intensive Care Unit (NICU) have to undergo continuous monitoring of t...

Deep learning tools are top performers in long non-coding RNA prediction.

The increasing amount of transcriptomic data has brought to light vast numbers of potential novel RN...

Optical bone densitometry robust to variation of soft tissue using machine learning techniques: validation by Monte Carlo simulation.

SIGNIFICANCE: To achieve early detection of osteoporosis, a simple bone densitometry method using op...

Machine Learning Prediction of Non-Coding Variant Impact in Human Retinal cis-Regulatory Elements.

PURPOSE: Prior studies have demonstrated the significance of specific cis-regulatory variants in ret...

Deep learning approaches to non-invasively assess molecular features of gliomas.

Non-invasive imaging as the cornerstone of cardiovascular precision medicine.

AIMS: To provide an overview of the role of cardiovascular (CV) imaging in facilitating and advancin...

ASPIRER: a new computational approach for identifying non-classical secreted proteins based on deep learning.

Protein secretion has a pivotal role in many biological processes and is particularly important for ...

Propensity-Matched Comparison of 90-Day Complications in Robotic-Assisted Versus Non-Robotic Assisted Lumbar Fusion.

STUDY DESIGN: Retrospective single center propensity-matched observational cohort study that include...

Ultrasonographic morphological characteristics determined using a deep learning-based computer-aided diagnostic system of breast cancer.

To investigate the correlations between ultrasonographic morphological characteristics quantitativel...

DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding.

Long non-coding RNAs (lncRNAs) are a class of RNA molecules with more than 200 nucleotides. A growin...