AIMC Topic: Algorithms

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Low-N protein engineering with data-efficient deep learning.

Nature methods
Protein engineering has enormous academic and industrial potential. However, it is limited by the lack of experimental assays that are consistent with the design goal and sufficiently high throughput to find rare, enhanced variants. Here we introduce...

Deep learning-enhanced T mapping with spatial-temporal and physical constraint.

Magnetic resonance in medicine
PURPOSE: To propose a reconstruction framework to generate accurate T maps for a fast MR T mapping sequence.

A spatially based quantile regression forest model for mapping rural land values.

Journal of environmental management
Rural land valuation plays an important role in the development of land use policies for agricultural purposes. The advance of computational software and machine learning methods has enhanced mass appraisal methodologies for modeling and predicting e...

pDeepXL: MS/MS Spectrum Prediction for Cross-Linked Peptide Pairs by Deep Learning.

Journal of proteome research
In cross-linking mass spectrometry, the identification of cross-linked peptide pairs heavily relies on the ability of a database search engine to measure the similarities between experimental and theoretical MS/MS spectra. However, the lack of accura...

Identification of pediatric respiratory diseases using a fine-grained diagnosis system.

Journal of biomedical informatics
Respiratory diseases, including asthma, bronchitis, pneumonia, and upper respiratory tract infection (RTI), are among the most common diseases in clinics. The similarities among the symptoms of these diseases precludes prompt diagnosis upon the patie...

Detecting Digoxin Toxicity by Artificial Intelligence-Assisted Electrocardiography.

International journal of environmental research and public health
Although digoxin is important in heart rate control, the utilization of digoxin is declining due to its narrow therapeutic window. Misdiagnosis or delayed diagnosis of digoxin toxicity is common due to the lack of awareness and the time-consuming lab...

A convolutional neural network to identify motor units from high-density surface electromyography signals in real time.

Journal of neural engineering
. This paper aims to investigate the feasibility and the validity of applying deep convolutional neural networks (CNN) to identify motor unit (MU) spike trains and estimate the neural drive to muscles from high-density electromyography (HD-EMG) signa...

A New Dataset for Facial Motion Analysis in Individuals With Neurological Disorders.

IEEE journal of biomedical and health informatics
We present the first public dataset with videos of oro-facial gestures performed by individuals with oro-facial impairment due to neurological disorders, such as amyotrophic lateral sclerosis (ALS) and stroke. Perceptual clinical scores from trained ...

A Novel Automated Blood Pressure Estimation Algorithm Using Sequences of Korotkoff Sounds.

IEEE journal of biomedical and health informatics
The use of automated non-invasive blood pressure (NIBP) measurement devices is growing, as they can be used without expertise, and BP measurement can be performed by patients at home. Non-invasive cuff-based monitoring is the dominant method for BP m...

Understanding the role of digital platforms in technology readiness.

Regenerative medicine
State-of-the-art digital tools that take advantage of machine learning-derived algorithms and advanced data analytics have the potential to transform regenerative medicine by enabling investigators and clinicians to extract intelligence and actionabl...