Search
Now showing items 1-10 of 33
Glioma extracellular vesicles for precision medicine: prognostic and theragnostic application
(
Springer
, 2022 , Article Review)
EV produced by tumour cells carry a diverse population of proteins, lipids, DNA, and RNA molecules throughout the body and appear to play an important role in the overall development of the disease state, according to ...
Non-coding RNAs as biomarkers of myocardial infarction
(
Elsevier
, 2023 , Article)
Non-coding RNAs (ncRNAs) encompass a family of ubiquitous RNA molecules that lack protein-coding potential and have tissue-specific expression. A significant body of evidence indicates that ncRNA's aberrant expression plays ...
An Adaptive Joint Sparsity Recovery for Compressive Sensing Based EEG System
(
Hindawi Limited
, 2017 , Article)
The last decade has witnessed tremendous efforts to shape the Internet of things (IoT) platforms to be well suited for healthcare applications. These platforms are comprised of a network of wireless sensors to monitor ...
Revolutionizing chronic lymphocytic leukemia diagnosis: A deep dive into the diverse applications of machine learning
(
Elsevier
, 2023 , Article)
Chronic lymphocytic leukemia (CLL) is a B cell neoplasm characterized by the accumulation of aberrant monoclonal B lymphocytes. CLL is the predominant type of leukemia in Western countries, accounting for 25% of cases. ...
Early Detection of Myocardial Infarction in Low-Quality Echocardiography
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Myocardial infarction (MI), or commonly known as heart attack, is a life-threatening health problem worldwide from which 32.4 million people suffer each year. Early diagnosis and treatment of MI are crucial to prevent ...
Hepatitis E Viruses : Emerging and Transboundary Animal Viruses
(
Springer
, 2020 , Book chapter)
Hepatitis E virus (HEV), member of genus Orthohepevirus in the family
Hepeviridae, is the leading cause of hepatitis E. More than 20 million cases of hepatitis
E virus (HEV) infection have been reported globally, out of ...
Finding Behavioural and Imaging Biomarkers of Major Depressive Disorder (MDD) using Artificial Intelligence: A Review
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Major Depressive Disorder (MDD) is a serious ailment in mental health and is a medical illness that has a debilitating impact on a person's ability to think effectively. According to the World Health Organization (WHO), ...
Heart sound anomaly and quality detection using ensemble of neural networks without segmentation
(
IEEE Computer Society
, 2016 , Conference Paper)
Phonocardiogram (PCG) signal is used as a diagnostic test in ambulatory monitoring in order to evaluate the heart hemodynamic status and to detect a cardiovascular disease. The objective of this study is to develop an ...
Identification of a miRNA signature as a diagnostic and prognostic marker in renal cell carcinoma
(
Qatar University Press
, 2021 , Poster)
Clear cell renal cell carcinoma (ccRCC) is the most common subtype of renal cell carcinoma (RCC). If diagnosed in later stages, ccRCC is associated with high renal cancer related morbidity and poor prognosis. Recently, ...
Dental caries detection using a semi-supervised learning approach
(
Nature Research
, 2023 , Article)
Early diagnosis of dental caries progression can prevent invasive treatment and enable preventive treatment. In this regard, dental radiography is a widely used tool to capture dental visuals that are used for the detection ...