Latest AI and machine learning research in covid-19 for healthcare professionals.
This paper describes a nanoliter droplet array-based single-cell reverse transcription quantitative ...
In this study, the magnitude and spatial distribution of frequency spectrum in the resting electroen...
The non-stationary property of electromyography (EMG) signals in real life settings usually hinders ...
The mechanical loading environment encountered by articular cartilage in situ makes frictional-shear...
Polymerase chain reaction (PCR) is hailed as one of the monumental scientific techniques of the twen...
Variations in proteins have very large number of diverse effects affecting sequence, structure, stab...
To facilitate precision medicine and whole-genome annotation, we developed a machine-learning techni...
The spectrum of EEG has been studied to predict the depth of anesthesia using variety of signal proc...
UNLABELLED: Annotating genetic variants, especially non-coding variants, for the purpose of identify...
This research examines the precision of an adaptive neuro-fuzzy computing technique in estimating th...
Primers plays important role in polymerase chain reaction (PCR) experiments, thus it is necessary to...
Feature selection is an important step in many pattern recognition systems aiming to overcome the so...
Recently, high-throughput experimental techniques have propelled improvements in deep learning-based...
Molecular recognition - the determination of which agent binds which target - governs adaptive immun...
Protein language models (PLMs) enable prediction of protein properties by learning residue-level fea...
The over 300 currently recognized breeds of domesticated dogs are the culmination of centuries of in...
Enzymes are essential biocatalysts across diverse industries, driving demand for high-performing var...
T-cell acute lymphoblastic leukemia (T-ALL) comprises molecularly diverse subtypes, but robust cross...
Clinical variant interpretation requires mechanism-aware evidence to guide diagnosis and clarify the...
Deciphering the relationships between cis-regulatory elements (CREs) and target gene expression has ...
Background: Generative AI tools can support data-intensive research by writing code, drafting prose,...