AI Medical Compendium Topic:
Models, Biological

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Highly predictive and interpretable models for PAMPA permeability.

Bioorganic & medicinal chemistry
Cell membrane permeability is an important determinant for oral absorption and bioavailability of a drug molecule. An in silico model predicting drug permeability is described, which is built based on a large permeability dataset of 7488 compound ent...

Dynamic predictive model for growth of Salmonella spp. in scrambled egg mix.

Food microbiology
Liquid egg products can be contaminated with Salmonella spp. during processing. A dynamic model for the growth of Salmonella spp. in scrambled egg mix - high solids (SEM) was developed and validated. SEM was prepared and inoculated with ca. 2 log CFU...

Spatial dispersal of bacterial colonies induces a dynamical transition from local to global quorum sensing.

Physical review. E
Bacteria communicate using external chemical signals called autoinducers (AI) in a process known as quorum sensing (QS). QS efficiency is reduced by both limitations of AI diffusion and potential interference from neighboring strains. There is thus a...

Feature Fusion Based SVM Classifier for Protein Subcellular Localization Prediction.

Journal of integrative bioinformatics
For the importance of protein subcellular localization in different branches of life science and drug discovery, researchers have focused their attentions on protein subcellular localization prediction. Effective representation of features from prote...

Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View.

Journal of medical Internet research
BACKGROUND: As more and more researchers are turning to big data for new opportunities of biomedical discoveries, machine learning models, as the backbone of big data analysis, are mentioned more often in biomedical journals. However, owing to the in...

Approximate analytical solutions to the double-stance dynamics of the lossy spring-loaded inverted pendulum.

Bioinspiration & biomimetics
This paper introduces approximate time-domain solutions to the otherwise non-integrable double-stance dynamics of the 'bipedal' spring-loaded inverted pendulum (B-SLIP) in the presence of non-negligible damping. We first introduce an auxiliary system...

What do we learn about development from baby robots?

Wiley interdisciplinary reviews. Cognitive science
Understanding infant development is one of the great scientific challenges of contemporary science. In addressing this challenge, robots have proven useful as they allow experimenters to model the developing brain and body and understand the processe...

An information-based machine learning approach to elasticity imaging.

Biomechanics and modeling in mechanobiology
An information-based technique is described for applications in mechanical property imaging of soft biological media under quasi-static loads. We adapted the Autoprogressive method that was originally developed for civil engineering applications for ...

Robotic vertical jumping agility via series-elastic power modulation.

Science robotics
Several arboreal mammals have the ability to rapidly and repeatedly jump vertical distances of 2 m, starting from rest. We characterize this performance by a metric we call vertical jumping agility. Through basic kinetic relations, we show that this ...

Aerodynamic parameters from distributed heterogeneous CNT hair sensors with a feedforward neural network.

Bioinspiration & biomimetics
Distributed arrays of artificial hair sensors have bio-like sensing capabilities to obtain spatial and temporal surface flow information which is an important aspect of an effective fly-by-feel system. The spatiotemporal surface flow measurement enab...