AIMC Topic: Algorithms
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Feature selection for classification based on machine learning algorithms for prostate cancer.
Biomedical physics & engineering express
Apr 30, 2025
Microarray technology has transformed the biotechnological research to next level in the recent years. It provides the expression levels of various genes involved in a particular disease. Prostate cancer disease turned into life threatening cancer. T...
Modeling land use and land cover dynamics of Bale Mountains National Park using Google Earth Engine and cellular automata-artificial neural network (CA-ANN) model.
PloS one
Apr 30, 2025
This research aimed to assess the observed land use and land cover (LULC) changes of Bale Mountains National Park (BMNP) from 1993 to 2023 and its future projections for the years (2033 and 2053). The study utilized multi-date Landsat imagery from 19...
Testing on continuous production of mefenamic acids-Design of experiment through simulation and process optimisation.
European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
Apr 29, 2025
In the pharmaceutical manufacturing industry, continuous production methods have been recognised as providing several benefits compared to traditional batch production. These benefits include increased flexibility, higher product output, enhanced qua...
Clinical Validation of a Noninvasive Multi-Omics Method for Multicancer Early Detection in Retrospective and Prospective Cohorts.
The Journal of molecular diagnostics : JMD
Apr 29, 2025
Recent studies highlight the promise of blood-based multicancer early detection (MCED) tests for identifying asymptomatic patients with cancer. However, most focus on a single cancer hallmark, thus limiting effectiveness because of cancer's heterogen...
Artificial intelligence entering the pathology arena in oncology: current applications and future perspectives.
Annals of oncology : official journal of the European Society for Medical Oncology
Apr 29, 2025
BACKGROUND: Artificial intelligence (AI) is rapidly transforming the fields of pathology and oncology, offering novel opportunities for advancing diagnosis, prognosis, and treatment of cancer.
Benchmarking reinforcement learning algorithms for autonomous mechanical thrombectomy.
International journal of computer assisted radiology and surgery
Apr 29, 2025
PURPOSE: Mechanical thrombectomy (MT) is the gold standard for treating acute ischemic stroke. However, challenges such as operator radiation exposure, reliance on operator experience, and limited treatment access remain. Although autonomous robotics...
Intelligent predictive risk assessment and management of sarcopenia in chronic disease patients using machine learning and a web-based tool.
European journal of medical research
Apr 29, 2025
BACKGROUND: Individuals with chronic diseases are at higher risk of sarcopenia, and precise prediction is essential for its prevention. This study aims to develop a risk scoring model using longitudinal data to predict the probability of sarcopenia i...
The data analysis of sports training by ID3 decision tree algorithm and deep learning.
Scientific reports
Apr 29, 2025
In order to improve the accuracy and efficiency of sports training data analysis, this paper proposes an optimized analysis model by combining Iterative Dichotomiser 3 (ID3) decision tree algorithm and deep learning model. As an important scientific ...
Contrastive learning and mixture of experts enables precise vector embeddings in biological databases.
Scientific reports
Apr 29, 2025
The advancement of transformer neural networks has significantly enhanced the performance of sentence similarity models. However, these models often struggle with highly discriminative tasks and generate sub-optimal representations of complex documen...
A swin transformer and CNN fusion framework for accurate Parkinson disease classification in MRI.
Scientific reports
Apr 29, 2025
Parkinson's disease ranks as the second most prevalent neurological disorder after Alzheimer's disease. Convolutional neural networks (CNNs) have been extensively employed in Parkinson's disease (PD) detection using MR images. However, CNN models gen...
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- Machine Learning 31394
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