Geriatrics

In Schizophrenia, Depression, Anxiety, and Physiosomatic Symptoms Are Strongly Related to Psychotic Symptoms and Excitation, Impairments in Episodic Memory, and Increased Production of Neurotoxic Tryptophan Catabolites: a Multivariate and Machine Learning Study.

The depression, anxiety and physiosomatic symptoms (DAPS) of schizophrenia are associated with negative symptoms and changes in tryptophan catabolite (TRYCAT) patterning. The aim of this study is to delineate the associations between DAPS and psychosis, hostility, excitation, and mannerism (PHEM) symptoms, cognitive tests as measured using the Consortium to Establish a Registry for Alzheimer's Dis...

Artificial intelligence on the identification of risk groups for osteoporosis, a general review.

INTRODUCTION: The goal of this paper is to present a critical review on the main systems that use artificial intelligence to identify groups at risk for osteoporosis or fractures. The systems considered for this study were those that fulfilled the following requirements: range of coverage in diagnosis, low cost and capability to identify more significant somatic factors.

Higher Serum Endocan Level Is Associated with Alzheimer Disease.

BACKGROUND: The novel molecule endocan, which is released by endothelium and is regulated by proangiogenic and proinflammatory cytokines, may have a r...

Delirium Prediction using Machine Learning Models on Preoperative Electronic Health Records Data.

Electronic Health Records (EHR) are mainly designed to record relevant patient information during their stay in the hospital for administrative purpos...

Use of multimodality imaging and artificial intelligence for diagnosis and prognosis of early stages of Alzheimer's disease.

Alzheimer's disease (AD) is a major neurodegenerative disease and the most common cause of dementia. Currently, no treatment exists to slow down or st...

Revealing Alzheimer's disease genes spectrum in the whole-genome by machine learning.

BACKGROUND: Alzheimer's disease (AD) is an important, progressive neurodegenerative disease, with a complex genetic architecture. A key goal of biomed...

A general framework for sensor-based human activity recognition.

Today's wearable devices like smartphones, smartwatches and intelligent glasses collect a large amount of data from their built-in sensors like accele...

Alzheimer's disease diagnostics by a 3D deeply supervised adaptable convolutional network.

Early diagnosis is playing an important role in preventing progress of the Alzheimer's disease (AD). This paper proposes to improve the prediction of ...

An end-to-end deep learning architecture for extracting protein-protein interactions affected by genetic mutations.

The BioCreative VI Track IV (mining protein interactions and mutations for precision medicine) challenge was organized in 2017 with the goal of applyi...

Effect of -Fermented Soybean Extracts on Antioxidant and Skin Aging-Related Enzymes Inhibitory Activities.

We investigated the inhibitory activity against skin aging-related enzymes and antioxidant activity of -fermented soybean extracts (MFSEs) obtained b...

Essential oil of Citrus lumia Risso: Phytochemical profile, antioxidant properties and activity on the central nervous system.

The use of essential oils (EOs) is known since long time in traditional medicine and aromatherapy for the management of various oxidative stress-relat...

N-terminal Pro-brain Natriuretic Peptide Level as a Prognostic Predictor in Elderly Patients in a Convalescent Rehabilitation Ward.

OBJECTIVE: N-terminal pro-brain natriuretic peptide (NTproBNP) levels were investigated to predict outcomes for elderly patients in a convalescent reh...

Serum Cardiac Troponin T Levels in Asymptomatic Elderly Nursing Home Residents.

BACKGROUND: The definition of myocardial infarction relies on elevated troponin levels. However, elevated levels of high sensitive cardiac troponin (h...

Deep learning reveals Alzheimer's disease onset in MCI subjects: Results from an international challenge.

BACKGROUND: Early diagnosis of Alzheimer's disease (AD) and its onset in subjects affected by mild cognitive impairment (MCI) based on structural MRI ...

Vitamin D deficiency and supplementation in patients with aggressive B-cell lymphomas treated with immunochemotherapy.

Vitamin D deficiency has been reported to be a negative prognostic factor in elderly patients with aggressive B-cell lymphomas. In vitro data suggest ...

An Event-Triggered Machine Learning Approach for Accelerometer-Based Fall Detection.

The fixed-size non-overlapping sliding window (FNSW) and fixed-size overlapping sliding window (FOSW) approaches are the most commonly used data-segme...

Transglycosylation of gallic acid by using Leuconostoc glucansucrase and its characterization as a functional cosmetic agent.

Gallic acid glycoside was enzymatically synthesized by using dextransucrase and sucrose from gallic acid. After purification by butanol partitioning a...

Sacubitril/Valsartan in an Elderly Patient with Heart Failure: A Case Report.

Sacubitril/valsartan has recently been approved for the treatment of heart failure with reduced ejection fraction. Given its recent introduction in th...

Robots and people with dementia: Unintended consequences and moral hazard.

The use of social robots in elder care is entering the mainstream as robots become more sophisticated and populations age. While there are many potent...

White matter hyperintensity and stroke lesion segmentation and differentiation using convolutional neural networks.

White matter hyperintensities (WMH) are a feature of sporadic small vessel disease also frequently observed in magnetic resonance images (MRI) of heal...