Infectious Disease

COVID-19

Latest AI and machine learning research in covid-19 for healthcare professionals.

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Showing 2983-3003 of 6,828 articles
Printing 2-dimentional droplet array for single-cell reverse transcription quantitative PCR assay with a microfluidic robot.

This paper describes a nanoliter droplet array-based single-cell reverse transcription quantitative ...

Apr 2015 25828383
Support vector machine and fuzzy C-mean clustering-based comparative evaluation of changes in motor cortex electroencephalogram under chronic alcoholism.

In this study, the magnitude and spatial distribution of frequency spectrum in the resting electroen...

Mar 2015 25773367
Adaptive myoelectric pattern recognition toward improved multifunctional prosthesis control.

The non-stationary property of electromyography (EMG) signals in real life settings usually hinders ...

Mar 2015 25749182
Coefficient of Friction Patterns Can Identify Damage in Native and Engineered Cartilage Subjected to Frictional-Shear Stress.

The mechanical loading environment encountered by articular cartilage in situ makes frictional-shear...

Feb 2015 25691395
Prediction of success for polymerase chain reactions using the Markov maximal order model and support vector machine.

Polymerase chain reaction (PCR) is hailed as one of the monumental scientific techniques of the twen...

Jan 2015 25636491
Types and effects of protein variations.

Variations in proteins have very large number of diverse effects affecting sequence, structure, stab...

Jan 2015 25616435
RNA splicing. The human splicing code reveals new insights into the genetic determinants of disease.

To facilitate precision medicine and whole-genome annotation, we developed a machine-learning techni...

Dec 2014 25525159
Determining the appropriate amount of anesthetic gas using DWT and EMD combined with neural network.

The spectrum of EEG has been studied to predict the depth of anesthesia using variety of signal proc...

Dec 2014 25472730
DANN: a deep learning approach for annotating the pathogenicity of genetic variants.

UNLABELLED: Annotating genetic variants, especially non-coding variants, for the purpose of identify...

Oct 2014 25338716
Appraisal of adaptive neuro-fuzzy computing technique for estimating anti-obesity properties of a medicinal plant.

This research examines the precision of an adaptive neuro-fuzzy computing technique in estimating th...

Oct 2014 25453384
Estimation of teaching-learning-based optimization primer design using regression analysis for different melting temperature calculations.

Primers plays important role in polymerase chain reaction (PCR) experiments, thus it is necessary to...

Sep 2014 25222953
Feature Selection and Classification of Electroencephalographic Signals: An Artificial Neural Network and Genetic Algorithm Based Approach.

Feature selection is an important step in many pattern recognition systems aiming to overcome the so...

Apr 2014 24733718
Robust Multi-Mutant Protein Stability Prediction from a Fine-Tuned Evolutionary Scale Model

Recently, high-throughput experimental techniques have propelled improvements in deep learning-based...

Vibe Coding Specificity Foundation Models

Molecular recognition - the determination of which agent binds which target - governs adaptive immun...

Learning residue-level context for modeling protein-protein interactions

Protein language models (PLMs) enable prediction of protein properties by learning residue-level fea...

An interpretable machine learning framework for dog breed inference and ancestry decomposition

The over 300 currently recognized breeds of domesticated dogs are the culmination of centuries of in...

Data-Efficient Exploration of Enzyme Function Using Family-Specific Machine Learning

Enzymes are essential biocatalysts across diverse industries, driving demand for high-performing var...

The machine-learning classifier ALLCatchR2 identifies 20 T-ALL subtypes across cohorts and age groups

T-cell acute lymphoblastic leukemia (T-ALL) comprises molecularly diverse subtypes, but robust cross...

MAGI: Mechanistic Consequences of Genetic Variants via Genomic Foundation Models

Clinical variant interpretation requires mechanism-aware evidence to guide diagnosis and clarify the...

Hierarchical refinements of cis-regulatory inputs improve scalable gene expression prediction

Deciphering the relationships between cis-regulatory elements (CREs) and target gene expression has ...

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