AIMC Topic: Female

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Screening for Alzheimer's Disease Using Saliva: A New Approach Based on Machine Learning and Raman Hyperspectroscopy.

Journal of Alzheimer's disease : JAD
BACKGROUND: Alzheimer's disease and related dementias (ADRDs) are being diagnosed at epidemic rates, with incidence to triple from 35 to 115 million cases worldwide. Most ADRDs are characterized by progressive neurodegeneration, and Alzheimer's disea...

Artificial Neural Networks Help to Better Understand the Interplay Between Cognition, Mediterranean Diet, and Physical Performance: Clues from TRELONG Study.

Journal of Alzheimer's disease : JAD
BACKGROUND: Nutrition plays an important role in the aging process. Adherence to the Mediterranean diet (MedDiet) has been shown to be associated with lower rates of diseases. Cognitive status seems to be strongly interrelated with physical well-bein...

Efficacy of end-effector Robot-Assisted Gait Training in subacute stroke patients: Clinical and gait outcomes from a pilot bi-centre study.

NeuroRehabilitation
BACKGROUND: End-effector robots allow intensive gait training in stroke subjects and promote a successful rehabilitation. A comparison between conventional and end-effector Robot-Assisted Gait Training (RAGT) in subacute stroke patients is needed.

Validation of a robot serious game assessment protocol for upper limb motor impairment in children with cerebral palsy.

NeuroRehabilitation
BACKGROUND: The ROBiGAME project aims to implement serious games on robots to rehabilitate upper limb (UL) motor function in children with cerebral palsy (CP). Serious game characteristics (target position, level of assistance/resistance, level of fo...

Optimizing Machine Learning Methods to Improve Predictive Models of Alzheimer's Disease.

Journal of Alzheimer's disease : JAD
BACKGROUND: Predicting clinical course of cognitive decline can boost clinical trials' power and improve our clinical decision-making. Machine learning (ML) algorithms are specifically designed for the purpose of prediction; however. identifying opti...

Artificial Intelligence in Obstetrics and Gynaecology: Is This the Way Forward?

In vivo (Athens, Greece)
An increasing trend in funding towards artificial intelligence (AI) research in medicine has re-animated huge expectations for future applications. Obstetrics and gynaecology remain highly litigious specialities, accounting for a large proportion of ...

Detecting Alzheimer's Disease from Continuous Speech Using Language Models.

Journal of Alzheimer's disease : JAD
BACKGROUND: Recently, many studies have been carried out to detect Alzheimer's disease (AD) from continuous speech by linguistic analysis and modeling. However, few of them utilize language models (LMs) to extract linguistic features and to investiga...

Screening key lncRNAs for human lung adenocarcinoma based on machine learning and weighted gene co-expression network analysis.

Cancer biomarkers : section A of Disease markers
BACKGROUND: Lung adenocarcinoma (LUAD) accounts for a significant proportion of lung cancer and there have been few diagnostic and therapeutic targets for LUAD due to the lack of specific biomarker. The aim of this study was to identify key long non-...

New one-step model of breast tumor locating based on deep learning.

Journal of X-ray science and technology
BACKGROUND: Breast cancer has the highest cancer prevalence rate among the women worldwide. Early detection of breast cancer is crucial for successful treatment and reducing cancer mortality rate. However, tumor detection of breast ultrasound (US) im...