AIMC Topic: Algorithms

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MALDI-TOF mass spectrometry combined with machine learning algorithms to identify protein profiles related to malaria infection in human sera from Côte d'Ivoire.

Malaria journal Apr 18, 2025
BACKGROUND: In sub-Saharan Africa, Plasmodium falciparum is the most prevalent species of malaria parasites. In endemic areas, malaria is mainly diagnosed using microscopy or rapid diagnostic tests (RDTs), which have limited sensitivity, and microsco...
Child, Preschool Child Plasmodium falciparum Male Middle Aged Adolescent Cote d'Ivoire Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Humans Malaria, Falciparum Female Machine Learning Young Adult Algorithms Adult
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GRLGRN: graph representation-based learning to infer gene regulatory networks from single-cell RNA-seq data.

BMC bioinformatics Apr 18, 2025
BACKGROUND: A gene regulatory network (GRN) is a graph-level representation that describes the regulatory relationships between transcription factors and target genes in cells. The reconstruction of GRNs can help investigate cellular dynamics, drug d...
Sequence Analysis, RNA Gene Regulatory Networks Single-Cell Gene Expression Analysis Humans Deep Learning Computational Biology Single-Cell Analysis Machine Learning RNA-Seq Algorithms
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AI analysis for ejection fraction estimation from 12-lead ECG.

Scientific reports Apr 18, 2025
Heart failure (HF) remains a leading global cause of cardiovascular deaths, with its prevalence expected to rise in the upcoming decade. Measuring the heart ejection fraction (EF) is crucial for diagnosing and monitoring HF. Although echocardiography...
Humans Machine Learning Algorithms Female Male Electrocardiography Stroke Volume Heart Failure Middle Aged Deep Learning
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DrugGen enhances drug discovery with large language models and reinforcement learning.

Scientific reports Apr 18, 2025
Traditional drug design faces significant challenges due to inherent chemical and biological complexities, often resulting in high failure rates in clinical trials. Deep learning advancements, particularly generative models, offer potential solutions...
Algorithms Drug Design Drug Discovery Humans Deep Learning Ligands Large Language Models
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Comparative analysis of heart disease prediction using logistic regression, SVM, KNN, and random forest with cross-validation for improved accuracy.

Scientific reports Apr 18, 2025
This primary research paper emphasizes cross-validation, where data samples are reshuffled in each iteration to form randomized subsets divided into n folds. This method improves model performance and achieves higher accuracy than the baseline model....
Random Forest Heart Diseases Reproducibility of Results Logistic Models Support Vector Machine Humans Machine Learning Algorithms
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Daily Automated Prediction of Delirium Risk in Hospitalized Patients: Model Development and Validation.

JMIR medical informatics Apr 18, 2025
BACKGROUND: Delirium is common in hospitalized patients and is correlated with increased morbidity and mortality. Despite this, delirium is underdiagnosed, and many institutions do not have sufficient resources to consistently apply effective screeni...
Hospitalization Aged Aged, 80 and over Electronic Health Records Female Risk Factors Risk Assessment Delirium Adult Male Middle Aged Humans Machine Learning Algorithms Retrospective Studies
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Tailored self-supervised pretraining improves brain MRI diagnostic models.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 17, 2025
Self-supervised learning has shown potential in enhancing deep learning methods, yet its application in brain magnetic resonance imaging (MRI) analysis remains underexplored. This study seeks to leverage large-scale, unlabeled public brain MRI datase...
Humans Algorithms Magnetic Resonance Imaging Supervised Machine Learning Image Interpretation, Computer-Assisted Brain Brain Neoplasms Deep Learning
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Circular RNA discovery with emerging sequencing and deep learning technologies.

Nature genetics Apr 17, 2025
Circular RNA (circRNA) represents a type of RNA molecule characterized by a closed-loop structure that is distinct from linear RNA counterparts. Recent studies have revealed the emerging role of these circular transcripts in gene regulation and disea...
Humans High-Throughput Nucleotide Sequencing RNA, Circular Deep Learning Artificial Intelligence Single-Cell Analysis Algorithms Sequence Analysis, RNA Animals
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BL-FlowSOM: Consistent and Highly Accelerated FlowSOM Based on Parallelized Batch Learning.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Apr 17, 2025
The recent increase in the dimensionality of cytometry data has led to the development of various computational analysis methods. FlowSOM is one of the best-performing clustering methods but has room for improvement in terms of the consistency and sp...
Flow Cytometry Computational Biology Cluster Analysis Principal Component Analysis Humans Machine Learning Software Algorithms
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An Approach for Detecting Mangrove Areas and Mapping Species Using Multispectral Drone Imagery and Deep Learning.

Sensors (Basel, Switzerland) Apr 17, 2025
Mangrove ecosystems are important in tropical and subtropical coastal zones, contributing to marine biodiversity and maintaining marine ecological balance. It is crucial to develop more efficient, intelligent, and accurate monitoring methods for mang...
Algorithms Environmental Monitoring Ecosystem Biodiversity Deep Learning Wetlands
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