AIMC Topic: Models, Biological

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Feed-forward neural network model for hunger and satiety related VAS score prediction.

Theoretical biology & medical modelling
BACKGROUND: An artificial neural network approach was chosen to model the outcome of the complex signaling pathways in the gastro-intestinal tract and other peripheral organs that eventually produce the satiety feeling in the brain upon feeding.

A renaissance of neural networks in drug discovery.

Expert opinion on drug discovery
INTRODUCTION: Neural networks are becoming a very popular method for solving machine learning and artificial intelligence problems. The variety of neural network types and their application to drug discovery requires expert knowledge to choose the mo...

Growing Homophilic Networks Are Natural Navigable Small Worlds.

PloS one
Navigability, an ability to find a logarithmically short path between elements using only local information, is one of the most fascinating properties of real-life networks. However, the exact mechanism responsible for the formation of navigation pro...

Movement Performance of Human-Robot Cooperation Control Based on EMG-Driven Hill-Type and Proportional Models for an Ankle Power-Assist Exoskeleton Robot.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Although the merits of electromyography (EMG)-based control of powered assistive systems have been certified, the factors that affect the performance of EMG-based human-robot cooperation, which are very important, have received little attention. This...

Validation of artificial neural network models for predicting biochemical markers associated with male infertility.

Systems biology in reproductive medicine
UNLABELLED: Seminal fluid is the secretion from many glands comprised of several organic and inorganic compounds including free amino acids, proteins, fructose, glucosidase, zinc, and other scavenging elements like Mg(2+), Ca(2+), K(+), and Na(+). Th...

Towards an SEMG-based tele-operated robot for masticatory rehabilitation.

Computers in biology and medicine
This paper proposes a real-time trajectory generation for a masticatory rehabilitation robot based on surface electromyography (SEMG) signals. We used two Gough-Stewart robots. The first robot was used as a rehabilitation robot while the second robot...

A New Modified Artificial Bee Colony Algorithm with Exponential Function Adaptive Steps.

Computational intelligence and neuroscience
As one of the most recent popular swarm intelligence techniques, artificial bee colony algorithm is poor at exploitation and has some defects such as slow search speed, poor population diversity, the stagnation in the working process, and being trapp...

Automatic detection of diffusion modes within biological membranes using back-propagation neural network.

BMC bioinformatics
BACKGROUND: Single particle tracking (SPT) is nowadays one of the most popular technique to probe spatio-temporal dynamics of proteins diffusing within the plasma membrane. Indeed membrane components of eukaryotic cells are very dynamic molecules and...

Artificial Metamorphosis: Evolutionary Design of Transforming, Soft-Bodied Robots.

Artificial life
We show how the concept of metamorphosis, together with a biologically inspired model of multicellular development, can be used to evolve soft-bodied robots that are adapted to two very different tasks, such as being able to move in an aquatic and in...

Metastatic liver tumour segmentation with a neural network-guided 3D deformable model.

Medical & biological engineering & computing
The segmentation of liver tumours in CT images is useful for the diagnosis and treatment of liver cancer. Furthermore, an accurate assessment of tumour volume aids in the diagnosis and evaluation of treatment response. Currently, segmentation is perf...