Search results for "Early detection"

Recent progress in optical and electrochemical biosensors for sensing of Clostridium botulinum neurotoxin

2018

Abstract Botulinum toxin is a neurotoxic protein which produced from Clostridium botulinum and related species and it block acetylcholine release from presynaptic nerve terminals at the neuromuscular junctions. This toxin is life threatening for millions of people and growing menace to society since causing human botulism. Enzymatic activity of Botulinum neurotoxin within the cell made it hazardous and lead to flaccid paralysis. However, there isn't any reliable and precise remedy for this toxin. Therefore, there is an urgent need for early detection of this toxin in a fast and meticulous way with a robust and cost-effective relationship for real-time monitoring of Botulinum neurotoxin. Sev…

Monitoring the effects of therapeutic interventions in depression through self-assessments

2021

The treatment of major psychiatric disorders is an arduous and thorny path for the patients concerned, characterized by polypharmacy, massive adverse side effects, modest prospects of success, and constantly declining response rates. The more important is the early detection of psychiatric disorders prior to the development of clinically relevant symptoms, so that people can benefit from early interventions. A well-proven approach to monitoring mental health relies on voice analysis. This method has been successfully used with psychiatric patients to ‘objectively’ document the progress of improvement or the onset of relapse. The studies with psychiatric patients over 2-4 weeks demonstrated …

Infantile Hemangioma Detection using Deep Learning

2020

Infantile hemangiomas are the most common type of benign tumor which appear in the first weeks of life. As currently there is no robust protocol to monitor and assess the hemangioma status, this study proposes a preliminary method to detect the lesion. Therefore, in this paper we describe a hemangiomas classifier based on a linear convolutional neural network architecture. The challenge was to achieve a good classification using a relatively small internal database of 240 images from 40 different patients. The results are promising as the CNN performance evaluation showed a level of accuracy on the test set of 93.84%. Five metrics were calculated to assess the proposed model performances: a…

Update on biomarkers for the detection of lung cancer

2017

Patients at risk for lung cancer may have subclinical disease for years before presentation. The diagnosis of this disease is primarily based on symptoms, and detection often occurs after curative intervention is no longer possible. At present, no lung cancer early-detection biomarker is clinically available. This study reviews the most recent advances in early detection and molecular diagnostic biomarkers for the detection of lung cancer. This review includes an overview of the various biological specimens and matrices in which these biomarkers could be analyzed, as well as the diverse strategies and approaches for identifying new biomarkers that are currently being explored. Several novel…

“The risk of age”? Early detection test, prostate cancer and practices of self

2010

Abstract Drawing on Rose and Novas’s concept of “biological citizenship” and Michel Foucault's "practices of self", this paper reflects on how men become agents of their own therapeutic regimens, and yet internalise messages of risk and practices of self within early detection of prostate cancer discourses in the late 20th century. In doing so, it traces the ways in which concepts of age, gender and risk converge at the problematic site of prostate cancer and preventative health strategies, both of the state and the medical profession. Analysing how insecurities have simultaneously resulted in over-promoting and over-diagnosing risk, thereby blurring the lines between normal and pathologica…

Intratumoral Heterogeneity, Its Contribution to Therapy Resistance and Methodological Caveats to Assessment

2014

Cancer is one of the most urgent health issues of today. According to WHO, the number of cancer cases is expected to increase by 75% in the next two decades (1). Despite some remarkable achievements in the fields of cancer prevention and early detection, the goal of developing effective anti-cancer therapies still remains unmet. Tumor recurrence due to treatment resistance is the most common cause of death from cancer. Delineating cellular and molecular mechanisms underlying tumor recurrence is of prime importance for the ability to improve the efficacy of existing therapies and develop new strategies to cancer treatment.

Role of biomarkers in monitoring antiblastic cardiotoxicity

2016

Early detection of anticancer drug-induced cardiotoxicity (CTX) has been evaluated by most international scientific cardiology and oncology societies. High expectations have been placed on the use of specific biomarkers. In recent years, conventional biomarkers and molecules of more recent interest have been tested and compared in the context of anticancer drug-related CTX. Encouraging results were obtained from studies on molecules of myocardial damage, such as troponin and markers of myocardial wall stress, including circulating natriuretic peptides, as well as from the assessment of the products of inflammation or circulating levels of free radicals. However, clear guidelines on their se…

El Trastorno Dismórfico Corporal: un problema infra-diagnosticado

2017

Resumen: Aunque el Trastorno Dismorfico Corporal (TDC) es conocido desde hace siglos, solo hasta hace poco se ha intensificado su estudio e investigacion. En los ultimos anos se han hecho avances importantes para comprender los distintos aspectos relacionados con el TDC, aun infradiagnosticado. El proposito de este trabajo es presentar una actualizacion sobre el estatus del TDC. Se examinan, entre otros aspectos, la etiopatogenia, la epidemiologia, las complicaciones asociadas y la explicacion cognitivo-conductual del trastorno. Tambien se analizan los cambios recientes en su clasificacion y las implicaciones derivadas. Desde esta perspectiva se aportan algunos datos provenientes de nuestra…

SEAL program – Early detection of liver fibrosis and cirrhosis by screening of the general population

2021

Detection of Parietaria Mottle Virus by RT-qPCR: An Emerging Virus Native of Mediterranean Area That Undermine Tomato and Pepper Production in Southe…

2021

Parietaria mottle virus (PMoV) is considered an emerging virus in many countries of the Mediterranean basin, especially on tomato and pepper crops. Symptoms on tomato leaves and fruits can be easily confused with those induced by cucumber mosaic virus (CMV) with necrogenic satellite RNA (CMV-satRNA), tomato spotted wilt virus (TSWV) or tomato mosaic virus (ToMV). Mixed infection of these viruses has been also reported in some tomato cultivars, with an increase in the complexity of the symptoms and severity of the disease. Although a specific serum and riboprobes have been produced, nowadays no sensitive diagnostic methods are available for the rapid PMoV detection. Here, we have developed a…