AIMC Topic:
Bayes Theorem

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Understanding the Manufacturing Process of Lipid Nanoparticles for mRNA Delivery Using Machine Learning.

Chemical & pharmaceutical bulletin Jan 1, 2024
Lipid nanoparticles (LNPs), used for mRNA vaccines against severe acute respiratory syndrome coronavirus 2, protect mRNA and deliver it into cells, making them an essential delivery technology for RNA medicine. The LNPs manufacturing process consists...
Particle Size Lipids Liposomes Lab-On-A-Chip Devices Bayes Theorem Nanoparticles Ethanol SARS-CoV-2 RNA, Messenger Humans Machine Learning
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Radiomics and Clinical Characters Based Gaussian Naive Bayes (GNB) Model for Preoperative Differentiation of Pulmonary Pure Invasive Mucinous Adenocarcinoma From Mixed Mucinous Adenocarcinoma.

Technology in cancer research & treatment Jan 1, 2024
To develop and validate predictive models based on clinical parameters, and radiomic features to distinguish pulmonary pure invasive mucinous adenocarcinoma (pIMA) from mixed mucinous adenocarcinoma (mIMA) before surgery. From January 2017 to Decem...
Female Aged Male Middle Aged Radiomics Algorithms Retrospective Studies Tomography, X-Ray Computed Humans Machine Learning Diagnosis, Differential Bayes Theorem ROC Curve Lung Neoplasms Adenocarcinoma, Mucinous
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Machine Learning for Biological Design.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2024
We briefly present machine learning approaches for designing better biological experiments. These approaches build on machine learning predictors and provide additional tools to guide scientific discovery. There are two different kinds of objectives ...
Machine Learning Bayes Theorem Research Design
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Detection of anemic condition in patients from clinical markers and explainable artificial intelligence.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Anaemia is a commonly known blood illness worldwide. Red blood cell (RBC) count or oxygen carrying capability being insufficient are two ways to describe anaemia. This disorder has an impact on the quality of life. If anaemia is detected ...
Algorithms Biomarkers Female Artificial Intelligence Machine Learning Middle Aged Support Vector Machine Bayes Theorem Adult Male Anemia Humans
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Synthetic Data Improve Survival Status Prediction Models in Early-Onset Colorectal Cancer.

JCO clinical cancer informatics Jan 1, 2024
PURPOSE: In artificial intelligence-based modeling, working with a limited number of patient groups is challenging. This retrospective study aimed to evaluate whether applying synthetic data generation methods to the clinical data of small patient gr...
Artificial Intelligence Retrospective Studies Humans Bayes Theorem Colorectal Neoplasms Hospitals
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Multimodal feature fusion in deep learning for comprehensive dental condition classification.

Journal of X-ray science and technology Jan 1, 2024
BACKGROUND: Dental health issues are on the rise, necessitating prompt and precise diagnosis. Automated dental condition classification can support this need.
Deep Learning Support Vector Machine Bayes Theorem Machine Learning Algorithms Humans Neural Networks, Computer
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Identification of biomarker genes from multiple studies for abiotic stress in maize through machine learning.

Journal of biosciences Jan 1, 2024
Abiotic stresses are major limiting factors for maize growth. Therefore, exploration of the mechanisms underlying the response to abiotic stress in maize is of great interest. Toward this end, we performed integration of the feature selection method ...
Machine Learning Biomarkers Zea mays Stress, Physiological Bayes Theorem
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Bayesian Approaches in Exploring Gene-environment and Gene-gene Interactions: A Comprehensive Review.

Cancer genomics & proteomics Dec 1, 2023
Rapid advancements in high-throughput biological techniques have facilitated the generation of high-dimensional omics datasets, which have provided a solid foundation for precision medicine and prognosis prediction. Nonetheless, the problem of missin...
Humans Bayes Theorem Machine Learning Polymorphism, Single Nucleotide
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Fusang: a framework for phylogenetic tree inference via deep learning.

Nucleic acids research Nov 10, 2023
Phylogenetic tree inference is a classic fundamental task in evolutionary biology that entails inferring the evolutionary relationship of targets based on multiple sequence alignment (MSA). Maximum likelihood (ML) and Bayesian inference (BI) methods ...
Sequence Alignment Bayes Theorem Likelihood Functions Phylogeny Algorithms Deep Learning
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[A preliminary prediction model of depression based on whole blood cell count by machine learning method].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine] Nov 6, 2023
This study used machine learning techniques combined with routine blood cell analysis parameters to build preliminary prediction models, helping differentiate patients with depression from healthy controls, or patients with anxiety. A multicenter stu...
Bayes Theorem Blood Cell Count Humans Depression Machine Learning Support Vector Machine
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