AIMC Topic: Time Factors

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Prediction of drug synergy score using ensemble based differential evolution.

IET systems biology
Prediction of drug synergy score is an ill-posed problem. It plays an efficient role in the medical field for inhibiting specific cancer agents. An efficient regression-based machine learning technique has an ability to minimise the drug synergy pred...

Predicting electrical storms by remote monitoring of implantable cardioverter-defibrillator patients using machine learning.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology
AIMS: Electrical storm (ES) is a serious arrhythmic syndrome that is characterized by recurrent episodes of ventricular arrhythmias. Electrical storm is associated with increased mortality and morbidity despite the use of implantable cardioverter-def...

Lyapunov functional for virus infection model with diffusion and state-dependent delays.

Mathematical biosciences and engineering : MBE
In this paper, a virus dynamics model with diffusion, state-dependent delays and a general nonlinear functional response is investigated. At first, the dynamical system is constructed on a nonlinear metric space. Then the stability of the interior eq...

A new ensemble residual convolutional neural network for remaining useful life estimation.

Mathematical biosciences and engineering : MBE
Remaining useful life (RUL) estimation is one of the most important component in prognostic health management (PHM) system in modern industry. It defined as the length from the current time to the end of the useful life. With the rapid development of...

Principi di farmacodinamica e farmacocinetica nello switch tra antipsicotici: focus su cariprazina.

Rivista di psichiatria
Cariprazina {RGH-188; trans-N- [4- [2- [4- (2,3-diclorofenil) piperazin-1-il] etil] cicloesil] -N_, N_-dimetilurea cloridrato} è un antipsicotico atipico di nuova generazione, con un originale profilo farmacodinamico e farmacocinetico. Cariprazina ha...

The application of artificial neural networks (ANN) for the denaturation of meat proteins – the kinetic analysis method.

Acta scientiarum polonorum. Technologia alimentaria
BACKGROUND: Artificial neural networks (ANN) are a common mathematical tool widely used in many research fields. Since they are applicable to non-linear relationships and do not require preliminary assumptions, they are a particularly promising tool ...

Effects of Plant Species, Insecticide, and Exposure Time On the Efficacy Of Barrier Treatments Against .

Journal of the American Mosquito Control Association
The effect of 5 plant species (arborvitae [], boxwood [ sp., Japanese honeysuckle [], rhododendron [ sp.], and zebra grass []) and 2 rates of lambda-cyhalothrin (3.13 ml and 6.25 ml active ingredient [AI]/liter) on knockdown (1 h) and mortality (24 h...

Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer.

The American journal of surgical pathology
Advances in the quality of whole-slide images have set the stage for the clinical use of digital images in anatomic pathology. Along with advances in computer image analysis, this raises the possibility for computer-assisted diagnostics in pathology ...