AIMC Topic: Neural Networks, Computer

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CNN-Siam: multimodal siamese CNN-based deep learning approach for drug‒drug interaction prediction.

BMC bioinformatics
BACKGROUND: Drug‒drug interactions (DDIs) are reactions between two or more drugs, i.e., possible situations that occur when two or more drugs are used simultaneously. DDIs act as an important link in both drug development and clinical treatment. Sin...

A review and comparative study of cancer detection using machine learning: SBERT and SimCSE application.

BMC bioinformatics
BACKGROUND: Using visual, biological, and electronic health records data as the sole input source, pretrained convolutional neural networks and conventional machine learning methods have been heavily employed for the identification of various maligna...

Machine learning at the edge for AI-enabled multiplexed pathogen detection.

Scientific reports
Multiplexed detection of biomarkers in real-time is crucial for sensitive and accurate diagnosis at the point of use. This scenario poses tremendous challenges for detection and identification of signals of varying shape and quality at the edge of th...

MIDRC CRP10 AI interface-an integrated tool for exploring, testing and visualization of AI models.

Physics in medicine and biology
. Developing Machine Learning models (N Gorre et al 2023) for clinical applications from scratch can be a cumbersome task requiring varying levels of expertise. Seasoned developers and researchers may also often face incompatible frameworks and data ...

Breast Tumor Classification using Short-ResNet with Pixel-based Tumor Probability Map in Ultrasound Images.

Ultrasonic imaging
Breast cancer is the most common form of cancer and is still the second leading cause of death for women in the world. Early detection and treatment of breast cancer can reduce mortality rates. Breast ultrasound is always used to detect and diagnose ...

Dynamics of two-step reversible enzymatic reaction under fractional derivative with Mittag-Leffler Kernel.

PloS one
Chemical kinetics is a branch of chemistry that is founded on understanding chemical reaction rates. Chemical kinetics relates many aspects of cosmology, geology, and even in some cases of, psychology. There is a need for mathematical modelling of th...

Domain-guided data augmentation for deep learning on medical imaging.

PloS one
While domain-specific data augmentation can be useful in training neural networks for medical imaging tasks, such techniques have not been widely used to date. Our objective was to test whether domain-specific data augmentation is useful for medical ...

TRandAugment: temporal random augmentation strategy for surgical activity recognition from videos.

International journal of computer assisted radiology and surgery
PURPOSE: Automatic recognition of surgical activities from intraoperative surgical videos is crucial for developing intelligent support systems for computer-assisted interventions. Current state-of-the-art recognition methods are based on deep learni...

Predicting gene and protein expression levels from DNA and protein sequences with Perceiver.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: The functions of an organism and its biological processes result from the expression of genes and proteins. Therefore quantifying and predicting mRNA and protein levels is a crucial aspect of scientific research. Concerning ...

Dual center validation of deep learning for automated multi-label segmentation of thoracic anatomy in bedside chest radiographs.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVES: Bedside chest radiographs (CXRs) are challenging to interpret but important for monitoring cardiothoracic disease and invasive therapy devices in critical care and emergency medicine. Taking surrounding anatomy into account...