AIMC Topic: Machine Learning

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CADD, AI and ML in drug discovery: A comprehensive review.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
Computer-aided drug design (CADD) is an emerging field that has drawn a lot of interest because of its potential to expedite and lower the cost of the drug development process. Drug discovery research is expensive and time-consuming, and it frequentl...

State-of-Health Prediction Using Transfer Learning and a Multi-Feature Fusion Model.

Sensors (Basel, Switzerland)
Existing data-driven technology for prediction of state of health (SOH) has insufficient feature extraction capability and limited application scope. To deal with this challenge, this paper proposes a battery SOH prediction model based on multi-featu...

The g3mclass is a practical software for multiclass classification on biomarkers.

Scientific reports
The analytes qualified as biomarkers are potent tools to diagnose various diseases, monitor therapy responses, and design therapeutic interventions. The early assessment of the diverseness of human disease is essential for the speedy and cost-efficie...

High-content video flow cytometry with digital cell filtering for label-free cell classification by machine learning.

Cytometry. Part A : the journal of the International Society for Analytical Cytology
Recent development of imaging flow cytometry (IFC) has enabled the measurements of single cells with high throughput, where fluorescent labels provide specificity for cellular diagnosis. The fluorescent labels may disturb the cell functions, and the ...

EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks.

Neural networks : the official journal of the International Neural Network Society
In recent years, Deep Learning models have shown a great performance in complex optimization problems. They generally require large training datasets, which is a limitation in most practical cases. Transfer learning allows importing the first layers ...

Exploiting Textual Information for Fake News Detection.

International journal of neural systems
"Fake news" refers to the deliberate dissemination of news with the purpose to deceive and mislead the public. This paper assesses the accuracy of several Machine Learning (ML) algorithms, using a style-based technique that relies on textual informat...

A lightweight classification of adaptor proteins using transformer networks.

BMC bioinformatics
BACKGROUND: Adaptor proteins play a key role in intercellular signal transduction, and dysfunctional adaptor proteins result in diseases. Understanding its structure is the first step to tackling the associated conditions, spurring ongoing interest i...

Comparison of artificial intelligence algorithms and their ranking for the prediction of genetic merit in sheep.

Scientific reports
As the amount of data on farms grows, it is important to evaluate the potential of artificial intelligence for making farming predictions. Considering all this, this study was undertaken to evaluate various machine learning (ML) algorithms using 52-y...

Physics-informed machine learning with differentiable programming for heterogeneous underground reservoir pressure management.

Scientific reports
Avoiding over-pressurization in subsurface reservoirs is critical for applications like CO[Formula: see text] sequestration and wastewater injection. Managing the pressures by controlling injection/extraction are challenging because of complex hetero...