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Transfer Learning for Molecular Cancer Classification Using Deep Neural Networks.

IEEE/ACM transactions on computational biology and bioinformatics
The emergence of deep learning has impacted numerous machine learning based applications and research. The reason for its success lies in two main advantages: 1) it provides the ability to learn very complex non-linear relationships between features ...

Salvage HDR Brachytherapy: Multiple Hypothesis Testing Versus Machine Learning Analysis.

International journal of radiation oncology, biology, physics
PURPOSE: Salvage high-dose-rate brachytherapy (sHDRB) is a treatment option for recurrences after prior radiation therapy. However, only approximately 50% of patients benefit, with the majority of second recurrences after salvage brachytherapy occurr...

A prediction study of warfarin individual stable dose after mechanical heart valve replacement: adaptive neural-fuzzy inference system prediction.

BMC surgery
BACKGROUND: It's difficult but urgent to achieve the individualized rational medication of the warfarin, we aim to predict the individualized warfarin stable dose though the artificial intelligent Adaptive neural-fuzzy inference system (ANFIS).

Statistical moments in modelling of swelling, erosion and drug release of hydrophilic matrix-tablets.

International journal of pharmaceutics
Statistical moments were evaluated as suitable parameters for describing swelling and erosion processes (along with drug release) in hydrophilic controlled release matrix tablets. The effect of four independent formulation variables, corresponding to...

A novel type of activation function in artificial neural networks: Trained activation function.

Neural networks : the official journal of the International Neural Network Society
Determining optimal activation function in artificial neural networks is an important issue because it is directly linked with obtained success rates. But, unfortunately, there is not any way to determine them analytically, optimal activation functio...

Assessment of cortical bone fracture resistance curves by fusing artificial neural networks and linear regression.

Computer methods in biomechanics and biomedical engineering
Bone injures (BI) represents one of the major health problems, together with cancer and cardiovascular diseases. Assessment of the risks associated with BI is nontrivial since fragility of human cortical bone is varying with age. Due to restrictions ...

Taxonomy of multi-focal nematode image stacks by a CNN based image fusion approach.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: In the biomedical field, digital multi-focal images are very important for documentation and communication of specimen data, because the morphological information for a transparent specimen can be captured in form of a stack...

Assessing the impact of PM on respiratory disease using artificial neural networks.

Environmental pollution (Barking, Essex : 1987)
Understanding the impact on human health during peak episodes in air pollution is invaluable for policymakers. Particles less than PM can penetrate the respiratory system, causing cardiopulmonary and other systemic diseases. Statistical regression mo...

Determination of IMM-H004 and its active glucuronide metabolite in rat plasma and Ringer's solution by ultra-performance liquid chromatography-tandem mass spectrometry.

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences
IMM-H004 is a novel neuroprotective agent and its glucuronide metabolite IMM-H004G has similar protective effects against cerebral ischemic injury in vivo and in vitro. A specific and sensitive ultra-performance liquid chromatography-tandem mass spec...

A novel method for the rapid detection of post-translationally modified visinin-like protein 1 in rat models of brain injury.

Brain injury
BACKGROUND: Although elevated serum levels of visinin-like protein 1 (VILIP-1), a neuron-specific calcium sensor protein, are associated with ischaemic stroke, only a single study has evaluated VILIP-1 as a biomarker of traumatic brain injury (TBI). ...