Microfluidic platforms for biomarker analysis

S Nahavandi, S Baratchi, R Soffe, SY Tang… - Lab on a Chip, 2014 - pubs.rsc.org
Biomarkers have been described as characteristics, most often molecular, that provide
information about biological states, whether normal, pathological, or therapeutically …

Artificial intelligence and lung cancer: impact on improving patient outcomes

Z Gandhi, P Gurram, B Amgai, SP Lekkala… - Cancers, 2023 - mdpi.com
Simple Summary In this comprehensive review, we aimed to summarize the advances made
by artificial intelligence in the field of lung cancer screening, diagnosis, and management …

An evolutionary deep belief network extreme learning-based for breast cancer diagnosis

S Ronoud, S Asadi - Soft Computing, 2019 - Springer
Cancer is one of the leading causes of morbidity and mortality worldwide with increasing
prevalence. Breast cancer is the most common type among women, and its early diagnosis …

A new expert system in prediction of lung cancer disease based on fuzzy soft sets

AM Khalil, SG Li, Y Lin, HX Li, SG Ma - Soft Computing, 2020 - Springer
Every year, millions of people worldwide (including a major portion in China) are suffering
from lung cancer disease (Chinese report of Smoking and Health 2017). The aim of this …

Small biomolecule immunosensing with plasmonic optical fiber grating sensor

C Ribaut, V Voisin, V Malachovská, V Dubois… - Biosensors and …, 2016 - Elsevier
This study reports on the development of a surface plasmon resonance (SPR) optical fiber
biosensor based on tilted fiber Bragg grating technology for direct detection of small …

[HTML][HTML] Assessing machine learning techniques in forecasting lumpy skin disease occurrence based on meteorological and geospatial features

EA Safavi - Tropical Animal Health and Production, 2022 - ncbi.nlm.nih.gov
Lumpy skin disease virus (LSDV) causes an infectious disease in cattle. Due to its direct
relationship with the survival of arthropod vectors, geospatial and climatic features play a …

A survey on applying machine learning techniques for management of diseases

EMF El Houby - Journal of Applied Biomedicine, 2018 - Elsevier
During the past years, the increase in scientific knowledge and the massive data production
have caused an exponential growth in databases and repositories. Biomedical domain …

A novel method for early diagnosis of Alzheimer's disease based on pseudo Zernike moment from structural MRI

HT Gorji, J Haddadnia - Neuroscience, 2015 - Elsevier
Alzheimer's disease (AD) is a progressive neurodegenerative disorder and the most
common type of dementia among older people. The number of patients with AD will grow …

Artificial neural networks for infectious diarrhea prediction using meteorological factors in Shanghai (China)

Y Wang, J Li, J Gu, Z Zhou, Z Wang - Applied Soft Computing, 2015 - Elsevier
Infectious diarrhea is an important public health problem around the world. Meteorological
factors have been strongly linked to the incidence of infectious diarrhea. Therefore …

A novel diagnosis system for detection of kidney disease by a fuzzy soft decision-making problem

AM Khalil, AM Zahran, R Basheer - Mathematics and Computers in …, 2023 - Elsevier
Abstract According to the 2017 World Health Organization (WHO) report, a large part of
Egypt suffers from kidney disease. In recent years, kidney disease has become a leading …