Medicare

Finger Gesture Spotting from Long Sequences Based on Multi-Stream Recurrent Neural Networks.

Gesture spotting is an essential task for recognizing finger gestures used to control in-car touchle...

Machine Learning Supports Long Noncoding RNAs as Expression Markers for Endometrial Carcinoma.

Uterine corpus endometrial carcinoma (UCEC) is the second most common type of gynecological tumor. S...

Improving long QT syndrome diagnosis by a polynomial-based T-wave morphology characterization.

BACKGROUND: Diagnosing long QT syndrome (LQTS) remains challenging because of a considerable overlap...

Improving Clinical Trial Participant Prescreening With Artificial Intelligence (AI): A Comparison of the Results of AI-Assisted vs Standard Methods in 3 Oncology Trials.

BACKGROUND: Delays in clinical trial enrollment and difficulties enrolling representative samples co...

Abstractive summarization of long texts by representing multiple compositionalities with temporal hierarchical pointer generator network.

In order to tackle the problem of abstractive summarization of long multi-sentence texts, it is crit...

Reinforcement Learning for Bioretrosynthesis.

Metabolic engineering aims to produce chemicals of interest from living organisms, to advance toward...

Effects of medium- and long-distance running on cardiac damage markers in amateur runners: a systematic review, meta-analysis, and metaregression.

BACKGROUND: To finish an endurance race, athletes perform a vigorous effort that induces the release...

Discontinuation of Proton Pump Inhibitors in Patients With Chronic Kidney Disease.

Proton pump inhibitors (PPIs) are commonly used medications and are historically well tolerated. Re...

A mitochondria-targeting nitroreductase fluorescent probe with large Stokes shift and long-wavelength emission for imaging hypoxic status in tumor cells.

Development of a mitochondria-targeting fluorescent probe with large Stokes shift and long-wavelengt...

Effective machine-learning assembly for next-generation amplicon sequencing with very low coverage.

BACKGROUND: In short-read DNA sequencing experiments, the read coverage is a key parameter to succes...

Point-of-care cervical cancer screening using deep learning-based microholography.

Most deaths (80%) from cervical cancer occur in regions lacking adequate screening infrastructures o...

DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput.

We present an easy-to-use integrated software suite, DIA-NN, that exploits deep neural networks and ...

Extractive single document summarization using binary differential evolution: Optimization of different sentence quality measures.

With the increase in the amount of text information in different real-life applications, automatic t...

Characterization of the complete chloroplast genome of (Caprifoliaceae), a long history herb species plant from China.

is a common ornamental and medicinal plant in North America and East Asia. In this study, the compl...

A Deep Learning Approach for Detecting Copy Number Variation in Next-Generation Sequencing Data.

Copy number variants (CNV) are associated with phenotypic variation in several species. However, pro...

Myoelectric Control of a Soft Hand Exoskeleton Using Kinematic Synergies.

Soft hand exoskeletons offer a lightweight, low-profile alternative to rigid rehabilitative robotic ...

Uncovering Thousands of New Peptides with Sequence-Mask-Search Hybrid Peptide Sequencing Framework.

Typical analyses of mass spectrometry data only identify amino acid sequences that exist in referenc...

Evaluating the performance of a predictive modeling approach to identifying members at high-risk of hospitalization.

To evaluate the risk-of-hospitalization (ROH) models developed at Blue Cross Blue Shield of Louisia...

Deep learning extends de novo protein modelling coverage of genomes using iteratively predicted structural constraints.

The inapplicability of amino acid covariation methods to small protein families has limited their us...

Network latency and long-distance robotic telestenting: Exploring the potential impact of network delays on telestenting performance.

OBJECTIVE: This study evaluated the impact of network latency on telestenting performance.

Feasibility of robotic telestenting over long geographic distances: a pre-clinical ex vivo and in vivo study.