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early-diagnosis
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Interdisciplinary challenges and promising theranostic effects of nanoscience in Alzheimer's disease
, Article RSC Advances ; Volume 2, Issue 12 , 2012 , Pages 5008-5033 ; 20462069 (ISSN) ; Ejtehadi, M. R ; Rezaei, M ; Kehoe, P. G ; Mahmoudi, M ; Sharif University of Technology
2012
Abstract
During the last decade, reports show that the incidence and prevalence of Alzheimer's disease (AD) and other dementias have significantly increased. AD poses an enormous escalating threat to health services and resources. Early diagnosis of AD is recognized as one of the major challenges and primary aims in scientific communities. With the arrival of nanoscience and nanotechnology to medicine, hopes for early diagnosis and treatment of AD have considerably increased. To this end, nanobioresearchers are focused on three major areas consisting of early detection and recognition, biological markers and diagnosis, and pharmacotherapy. Several efforts are in progress for the discovery of new...
A novel method for segmentation of leukocyte nuclei based on color transformation
, Article 26th National and 4th International Iranian Conference on Biomedical Engineering, ICBME 2019, 27 November 2019 through 28 November 2019 ; 2019 , Pages 213-217 ; 9781728156637 (ISBN) ; Maheri, J ; Behroozi, H ; Kolahdoozi, M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2019
Abstract
Acute lymphoblastic leukemia is one of the most common hematologic malignancies among children, caused by uncontrolled growth of leukocytes. Since the main hallmarks of the disease is not specific, a considerable number of patients have been being misdiagnosed. Early diagnosis of the disease is usually made by morphological investigation of leukocytes under microscope. In light of the facts that decrease in cytoplasm-to-nucleus ratio is one of the main indicators of cancerous cells, and an accurate segmentation phase will lead to extraction of representative features, segmentation step is acknowledged as being crucial in design of a computer aided diagnosis (CAD). Previous researches have...
COVID-19 and picotechnology: Potential opportunities
, Article Medical Hypotheses ; Volume 144 , 2020 ; Rabiee, M ; Bagherzadeh, M ; Rezaei, N ; Sharif University of Technology
Churchill Livingstone
2020
Abstract
Humanity's challenges are becoming increasingly difficult, and as these challenges become more advanced, the need for effective and intelligent action becomes more apparent. Meanwhile, the novel coronavirus disease (COVID-19) pandemic, which has plagued the world, could be considered as an opportunity to take a step toward the need for atomic engineering, compared to molecular engineering, as well as to accelerate this type of research. This approach, which can be expressed in terms of picotechnology, makes it possible to identify living cell types or in general, chemical and biological surfaces using their atomic arrays, and applied for early diagnosis even treatment of the disease. © 2020...
Metabonomics based NMR in Crohn's disease applying PLS-DA
, Article Gastroenterology and Hepatology from Bed to Bench ; Volume 6, Issue SUPPL , 2013 , Pages S82-S86 ; 20082258 (ISSN) ; Oskouie, A. A ; Tafazzoli, M ; Naderi, N ; Sohrabzedeh, K ; Fathi, S ; Norouzinia, M ; Nejad, M. R ; Sharif University of Technology
2013
Abstract
Aim: The aim of this study was to search for metabolic biomarkers of Crohn's disease (CD). Background: Crohn's disease (CD) is a type of inflammatory bowel disease that causes a wide variety of symptoms. CD can influence any part of the gastrointestinal tract from mouth to anus. CD is not easily diagnosed because monitoring tools are currently insufficient. Thus, the discovery of proper methods is needed for early diagnosis of CD. Patients and methods: We utilized metabolic profiling using proton nuclear magnetic resonance spectroscopy (1HNMR) to find the metabolites in serum. Classification of CD and healthy subject was done using partial least squares discriminant analysis (PLS-DA)....
NMR based metabonomics study on celiac disease in the blood serum
, Article Gastroenterology and Hepatology from Bed to Bench ; Volume 6, Issue 4 , 2013 , Pages 190-194 ; 20082258 (ISSN) ; Ektefa, F ; Arefi Oskouie, A ; Rostami, K ; Rezaei Tavirani, M ; Mohammad Alizadeh, A. H ; Tafazzoli, M ; Rostami Nejad, M ; Sharif University of Technology
2013
Abstract
Aim: The aim of this study is to look for the proper methods that would be a major step towards untreated CD diagnosis and seek the metabolic biomarkers causes of CD and compare them to control group. Background: Celiac disease (CD) is a common autoimmune disorder that is not easily diagnosed using the clinical tests. Patients and methods: Thirty cases and 30 controls were entered into this study. Metabolic profiling was obtained using proton nuclear magnetic resonance spectroscopy (1HNMR) to seek metabolites that are helpful for the detection of CD. Classification of CD and healthy subject was done using random forest (RF). Results: The obtained classification model showed an 89% correct...
Switching kalman filter based methods for apnea bradycardia detection from ECG signals
, Article Physiological Measurement ; Volume 36, Issue 9 , 2015 , Pages 1763-1783 ; 09673334 (ISSN) ; Shamsollahi, M. B ; Ge, D ; Hernandez, A. I ; Sharif University of Technology
Abstract
Apnea bradycardia (AB) is an outcome of apnea occurrence in preterm infants and is an observable phenomenon in cardiovascular signals. Early detection of apnea in infants under monitoring is a critical challenge for the early intervention of nurses. In this paper, we introduce two switching Kalman filter (SKF) based methods for AB detection using electrocardiogram (ECG) signal. The first SKF model uses McSharry's ECG dynamical model integrated in two Kalman filter (KF) models trained for normal and AB intervals. Whereas the second SKF model is established by using only the RR sequence extracted from ECG and two AR models to be fitted in normal and AB intervals. In both SKF approaches, a...
Alzheimer’s disease early diagnosis using manifold-based semi-supervised learning
, Article Brain Sciences ; Volume 7, Issue 8 , 2017 ; 20763425 (ISSN) ; Habibollahi Saatlou, F ; Mohammadzade, H ; Sharif University of Technology
Abstract
Alzheimer’s disease (AD) is currently ranked as the sixth leading cause of death in the United States and recent estimates indicate that the disorder may rank third, just behind heart disease and cancer, as a cause of death for older people. Clearly, predicting this disease in the early stages and preventing it from progressing is of great importance. The diagnosis of Alzheimer’s disease (AD) requires a variety of medical tests, which leads to huge amounts of multivariate heterogeneous data. It can be difficult and exhausting to manually compare, visualize, and analyze this data due to the heterogeneous nature of medical tests, therefore, an efficient approach for accurate prediction of the...
Knowledge and awareness of the general population and healthcare providers about retinoblastoma: It is time to know the glow
, Article International Journal of Clinical Practice ; Volume 75, Issue 8 , 2021 ; 13685031 (ISSN) ; Alrawashdeh, H. M ; Alwafi, H ; Alyami, H. S ; Dahmash, E. Z ; Ghoul, I ; Shishtawi, A. A ; Abdelwahab, G. M ; Qadus, S ; Taybeh, E ; Abuthawabeh, R ; Hassanin, F ; Alhartani, Y. J ; Alyami, M.H ; Salawati, E. M ; Alwan, S. S ; Sharif University of Technology
John Wiley and Sons Inc
2021
Abstract
Retinoblastoma is the most frequent primary intraocular tumour in childhood. Early detection of retinoblastoma is the key to successful management with a higher chance of survival. This study aims to assess the knowledge of the general population and healthcare providers about retinoblastoma in term of presentation, risk factors, timing for diagnosis, and complications. A cross-sectional study using an online survey was conducted in three Arab countries (Jordan, Saudi Arabia, and Iraq) between 28 August and 16 September 2020. The questionnaire tool was constructed based on an extensive literature review to explore the study's aim and objectives. Logistic regression was used to identify...
Green chemistry and coronavirus
, Article Sustainable Chemistry and Pharmacy ; Volume 21 , 2021 ; 23525541 (ISSN) ; Rabiee, N ; Fatahi, Y ; Hooshmand, S. E ; Bagherzadeh, M ; Rabiee, M ; Jajarmi, V ; Dinarvand, R ; Habibzadeh, S ; Saeb, M. R ; Varma, R. S ; Shokouhimehr, M ; Hamblin, M. R ; Sharif University of Technology
Elsevier B.V
2021
Abstract
The novel coronavirus pandemic has rapidly spread around the world since December 2019. Various techniques have been applied in identification of SARS-CoV-2 or COVID-19 infection including computed tomography imaging, whole genome sequencing, and molecular methods such as reverse transcription polymerase chain reaction (RT-PCR). This review article discusses the diagnostic methods currently being deployed for the SARS-CoV-2 identification including optical biosensors and point-of-care diagnostics that are on the horizon. These innovative technologies may provide a more accurate, sensitive and rapid diagnosis of SARS-CoV-2 to manage the present novel coronavirus outbreak, and could be...
Green chemistry and coronavirus
, Article Sustainable Chemistry and Pharmacy ; Volume 21 , 2021 ; 23525541 (ISSN) ; Rabiee, N ; Fatahi, Y ; Hooshmand, S. E ; Bagherzadeh, M ; Rabiee, M ; Jajarmi, V ; Dinarvand, R ; Habibzadeh, S ; Saeb, M. R ; Varma, R.S ; Shokouhimehr, M ; Hamblin, M. R ; Sharif University of Technology
Elsevier B.V
2021
Abstract
The novel coronavirus pandemic has rapidly spread around the world since December 2019. Various techniques have been applied in identification of SARS-CoV-2 or COVID-19 infection including computed tomography imaging, whole genome sequencing, and molecular methods such as reverse transcription polymerase chain reaction (RT-PCR). This review article discusses the diagnostic methods currently being deployed for the SARS-CoV-2 identification including optical biosensors and point-of-care diagnostics that are on the horizon. These innovative technologies may provide a more accurate, sensitive and rapid diagnosis of SARS-CoV-2 to manage the present novel coronavirus outbreak, and could be...