AIMC Topic: Humans

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Antemortem CSF A42/A40 ratio predicts Alzheimer's disease pathology better than A42 in rapidly progressive dementias.

Annals of clinical and translational neurology
OBJECTIVE: Despite the critical importance of pathologically confirmed samples for biomarker validation, only a few studies have correlated CSF A42 values in vivo with postmortem Alzheimer's disease (AD) pathology, while none evaluated the CSF A42/A4...

Particle swarm optimization for network-based data classification.

Neural networks : the official journal of the International Neural Network Society
Complex networks provide a powerful tool for data representation due to its ability to describe the interplay between topological, functional, and dynamical properties of the input data. A fundamental process in network-based (graph-based) data analy...

A compact network learning model for distribution regression.

Neural networks : the official journal of the International Neural Network Society
Despite the superior performance of deep learning in many applications, challenges remain in the area of regression on function spaces. In particular, neural networks are unable to encode function inputs compactly as each node encodes just a real val...

Alterations in muscle activation patterns during robot-assisted bilateral training: A pilot study.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
Robot-assisted bilateral training is being developed as a new rehabilitation approach for stroke patients. However, there is still a lack of understanding of muscle functions when performing robot-assisted synchronous movements. The aim of this work ...

MALDI-Imaging for Classification of Epithelial Ovarian Cancer Histotypes from a Tissue Microarray Using Machine Learning Methods.

Proteomics. Clinical applications
PURPOSE: Precise histological classification of epithelial ovarian cancer (EOC) has immanent diagnostic and therapeutic consequences, but remains challenging in histological routine. The aim of this pilot study is to examine the potential of matrix-a...

Study protocol for a randomised controlled trial of humanoid robot-based distraction for venipuncture pain in children.

BMJ open
INTRODUCTION: Intravenous insertion (IVI) is a very common procedure in the emergency department (ED). IVI is often painful and stressful for both children and their families. Currently, distraction therapy is not used as a standard of care for IVI i...

A neural network analysis of Lifeways cross-generation imputed data.

BMC research notes
OBJECTIVES: Neural networks are a powerful statistical tool that use nonlinear regression type models to obtain predictions. Their use in the Lifeways cross-generation study that examined body mass index (BMI) of children, among other measures, is ex...

A Machine Learning Approach to Reveal the NeuroPhenotypes of Autisms.

International journal of neural systems
Although much research has been undertaken, the spatial patterns, developmental course, and sexual dimorphism of brain structure associated with autism remains enigmatic. One of the difficulties in investigating differences between the sexes in autis...

Initial results of pulmonary resection after neoadjuvant nivolumab in patients with resectable non-small cell lung cancer.

The Journal of thoracic and cardiovascular surgery
OBJECTIVE: We conducted a phase I trial of neoadjuvant nivolumab, a monoclonal antibody to the programmed cell death protein 1 checkpoint receptor, in patients with resectable non-small cell lung cancer. We analyzed perioperative outcomes to assess t...

Cricket fast bowling detection in a training setting using an inertial measurement unit and machine learning.

Journal of sports sciences
Fast bowlers are at a high risk of overuse injuries. There are specific bowling frequency ranges known to have negative or protective effects on fast bowlers. Inertial measurement units (IMUs) can classify movements in sports, however, some commercia...