AIMC Topic: Software

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Robotic tomographic ultrasound and artificial intelligence for management of haemodialysis arteriovenous fistulae.

The journal of vascular access
BACKGROUND: Arteriovenous fistulae (AVF) and Arteriovenous Grafts (AVG) may present a problematic vascular access for renal replacement therapy (RRT), reliant on recurrent specialist nurse and medical evaluation. Dysfunctional accesses are frequently...

Automated software for counting and measuring Hyalella genus using artificial intelligence.

Environmental science and pollution research international
Amphipods belonging to the Hyalella genus are macroinvertebrates that inhabit aquatic environments. They are of particular interest in areas such as limnology and ecotoxicology, where data on the number of Hyalella individuals and their allometric me...

FiCRoN, a deep learning-based algorithm for the automatic determination of intracellular parasite burden from fluorescence microscopy images.

Medical image analysis
Protozoan parasites are responsible for dramatic, neglected diseases. The automatic determination of intracellular parasite burden from fluorescence microscopy images is a challenging problem. Recent advances in deep learning are transforming this pr...

IF-AIP: A machine learning method for the identification of anti-inflammatory peptides using multi-feature fusion strategy.

Computers in biology and medicine
BACKGROUND: The most commonly used therapy currently for inflammatory and autoimmune diseases is nonspecific anti-inflammatory drugs, which have various hazardous side effects. Recently, some anti-inflammatory peptides (AIPs) have been found to be a ...

iHBPs-VWDC: variable-length window-based dynamic connectivity approach for identifying hormone-binding proteins.

Journal of biomolecular structure & dynamics
Hormone-binding proteins (HBPs) are soluble carrier proteins that play a vital role in the growth and development of living organisms. Identifying HBPs accurately is crucial for understanding their functions. However, traditional wet lab experimental...

Connecting the dots towards precision orthodontics.

Orthodontics & craniofacial research
Precision orthodontics entails the use of personalized clinical, biological, social and environmental knowledge of each patient for deep individualized clinical phenotyping and diagnosis combined with the delivery of care using advanced customized de...

A multi-spectral myelin annotation tool for machine learning based myelin quantification.

F1000Research
Myelin is an essential component of the nervous system and myelin damage causes demyelination diseases. Myelin is a sheet of oligodendrocyte membrane wrapped around the neuronal axon. In the fluorescent images, experts manually identify myelin by co-...

The Medical Action Ontology: A tool for annotating and analyzing treatments and clinical management of human disease.

Med (New York, N.Y.)
BACKGROUND: Navigating the clinical literature to determine the optimal clinical management for rare diseases presents significant challenges. We introduce the Medical Action Ontology (MAxO), an ontology specifically designed to organize medical proc...

Enabling AI in synthetic biology through Construction File specification.

PloS one
The Construction File (CF) specification establishes a standardized interface for molecular biology operations, laying a foundation for automation and enhanced efficiency in experiment design. It is implemented across three distinct software projects...