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Tuning the Performance of Synthetic Riboswitches using Machine Learning.

Riboswitch development for clinical, technological, and synthetic biology applications constantly se...

A Dual Mode Adaptive Basal-Bolus Advisor Based on Reinforcement Learning.

Self-monitoring of blood glucose (SMBG) and continuous glucose monitoring (CGM) are commonly used by...

Drug discovery and drug marketing with the critical roles of modern administration.

Drug research and development is a long-term and complicated process with the involvement of multidi...

Transcription factor binding site clusters identify target genes with similar tissue-wide expression and buffer against mutations.

The distribution and composition of -regulatory modules composed of transcription factor (TF) bindi...

Exploring the interactions between serum free fatty acids and fecal microbiota in obesity through a machine learning algorithm.

Serum free fatty acids (FFA) are generally elevated in obesity. The gut microbiota is involved in th...

Disease comorbidity-guided drug repositioning: a case study in schizophrenia.

UNLABELLED: The key to any computational drug repositioning is the availability of relevant data in ...

Neurofuzzy c-Means Network-Based SCARA Robot for Head Gimbal Assembly (HGA) Circuit Inspection.

Decision and control of SCARA robot in HGA (head gimbal assembly) inspection line is a very challeng...

Paper-based fluorescent immunoassay for highly sensitive and selective detection of norfloxacin in milk at picogram level.

Norfloxacin (NOR) in milk may influence mammalian cell replication and bring about a decrease in the...

Robot-Assisted Pedestrian Regulation Based on Deep Reinforcement Learning.

Pedestrian regulation can prevent crowd accidents and improve crowd safety in densely populated area...

Gene Ontology-based function prediction of long non-coding RNAs using bi-random walk.

BACKGROUND: With the development of sequencing technology, more and more long non-coding RNAs (lncRN...

Blood Sugar Level Indication Through Chewing and Swallowing from Acoustic MEMS Sensor and Deep Learning Algorithm for Diabetic Management.

Diabetes, a metabolic disorder due to high blood glycemic index in the human body. The glycemic inde...

Modeling and Predicting the Activities of Trans-Acting Splicing Factors with Machine Learning.

Alternative splicing (AS) is generally regulated by trans-splicing factors that specifically bind to...

Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks.

Magnetic resonance imaging (MRI) has been proposed as a complimentary method to measure bone quality...

Machine-learned epidemiology: real-time detection of foodborne illness at scale.

Machine learning has become an increasingly powerful tool for solving complex problems, and its appl...

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