AIMC Topic: Algorithms

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Machine Learning Methods in Protein-Protein Docking.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2024
An exponential increase in the number of publications that address artificial intelligence (AI) usage in life sciences has been noticed in recent years, while new modeling techniques are constantly being reported. The potential of these methods is va...
Protein Interaction Mapping Molecular Docking Simulation Software Protein Binding Algorithms Humans Proteins Machine Learning Protein Conformation Computational Biology
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Application of Artificial Neural Network and Genetic Algorithm Modeling for In Vitro Regeneration of Seaweed Seedling Production.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2024
Marine macro-algae, commonly known as "seaweed," are used in everyday commodity products worldwide for food, feed, and biostimulant for plants and animals and continue to be one of the conspicuous components of world aquaculture production. However, ...
Machine Learning Algorithms Neural Networks, Computer Seedlings Regeneration Seaweed Models, Genetic Aquaculture
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Experience in psychological counseling supported by artificial intelligence technology.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: In recent years, artificial intelligence (AI) technology has been continuously advancing and finding extensive applications, with one of its core technologies, machine learning, being increasingly utilized in the field of healthcare.
Natural Language Processing Counseling Machine Learning Humans Algorithms Artificial Intelligence
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TO-LAB model: Real time Touchless Lung Abnormality detection model using USRP based machine learning algorithm.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Due to the increasing prevalence of respiratory diseases and the importance of early diagnosis. The need for non-invasive and touchless medical diagnostic solutions has become increasingly crucial in modern healthcare to detect lung abnor...
Machine Learning Signal Processing, Computer-Assisted Algorithms Lung Diseases Humans Heart Rate Lung Blood Pressure
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Forecasting deep learning-based risk assessment of vector-borne diseases using hybrid methodology.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Dengue fever is rapidly becoming Malaysia's most pressing health concern, as the reported cases have nearly doubled over the past decade. Without efficacious antiviral medications, vector control remains the primary strategy for battling ...
Dengue Vector Borne Diseases Deep Learning Malaysia Humans Algorithms Animals Risk Assessment Forecasting
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Improving Efficiency of Brain Tumor Classification Models Using Pruning Techniques.

Current medical imaging Jan 1, 2024
BACKGROUND: This research investigates the impact of pruning on reducing the computational complexity of a five-layered Convolutional Neural Network (CNN) designed for classifying MRI brain tumors. The study focuses on enhancing the efficiency of the...
Magnetic Resonance Imaging Humans Neural Networks, Computer Brain Neoplasms Image Processing, Computer-Assisted Algorithms
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Deep Learning-Based HLA Allele Imputation Applicable to GWAS.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2024
Human leukocyte antigen (HLA) imputation is an essential step following genome-wide association study, particularly when putative associations in HLA genes are identified, to fully understand the genetic basis of human traits. Different HLA imputatio...
Software Algorithms Deep Learning Humans Computational Biology HLA Antigens Alleles Genome-Wide Association Study Polymorphism, Single Nucleotide
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Machine learning-based antibiotic resistance prediction models: An updated systematic review and meta-analysis.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: The widespread use of antibiotics has led to a gradual adaptation of bacteria to these drugs, diminishing the effectiveness of treatments.
Drug Resistance, Bacterial Algorithms Humans Anti-Bacterial Agents Machine Learning
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An automated two-stage approach to kidney and tumor segmentation in CT imaging.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: The incidence of kidney tumors is progressively increasing each year. The precision of segmentation for kidney tumors is crucial for diagnosis and treatment.
Kidney Kidney Neoplasms Deep Learning Image Processing, Computer-Assisted Humans Algorithms Neural Networks, Computer Tomography, X-Ray Computed
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Enhancing Alzheimer's Disease Classification with Transfer Learning: Finetuning a Pre-trained Algorithm.

Current medical imaging Jan 1, 2024
OBJECTIVE: The increasing longevity of the population has made Alzheimer's disease (AD) a significant public health concern. However, the challenge of accurately distinguishing different disease stages due to limited variability within the same stage...
Humans Deep Learning Magnetic Resonance Imaging Alzheimer Disease Algorithms Aged
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