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  1. Article ; Online: Long-term benefits of drug-coated balloons for coronary artery revascularization.

    Cortese, Bernardo / Malakouti, Sara / Mazhar, Waqas / Leontin Lazar, Florin / Munjal, Amit / Ketchanji Mougang, Yolande

    Minerva cardiology and angiology

    2023  

    Abstract: Percutaneous coronary intervention (PCI) with drug-eluting stents (DES) represents the treatment of choice for the majority of patients with coronary artery disease. While currently available DES, in addition to physiological support, has failed to show ... ...

    Abstract Percutaneous coronary intervention (PCI) with drug-eluting stents (DES) represents the treatment of choice for the majority of patients with coronary artery disease. While currently available DES, in addition to physiological support, has failed to show the non-inferiority to coronary artery bypass grafting (CABG) in terms of cumulative incidence of clinical events over the short-term follow-up. Studies have also shown that DES is associated with an increased risk of target vessel revascularization compared to CABG after long-term follow-up. Drug-coated balloons (DCB) have been shown to provide clinically significant benefits in the management of in-stent restenosis and diffuse coronary artery disease, as well as small coronary artery lesions. The aim of this review was to describe the inherent technical limitations of DES and highlight the potential advantages of PCI with DCB for long-term outcomes and potentially demonstrate its non-inferiority to CABG. Currently, ongoing studies will provide more information and help to understand if a blended therapy of DCB+DES can match the performance of CABG in the need for revascularization in more complex patients.
    Language English
    Publishing date 2023-12-21
    Publishing country Italy
    Document type Journal Article
    ZDB-ID 3059238-0
    ISSN 2724-5772
    ISSN (online) 2724-5772
    DOI 10.23736/S2724-5683.23.06425-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: On-Field Test of Tuberculosis Diagnosis through Exhaled Breath Analysis with a Gas Sensor Array.

    Ketchanji Mougang, Yolande Christelle / Endale Mangamba, Laurent-Mireille / Capuano, Rosamaria / Ciccacci, Fausto / Catini, Alexandro / Paolesse, Roberto / Mbatchou Ngahane, Hugo Bertrand / Palombi, Leonardo / Di Natale, Corrado

    Biosensors

    2023  Volume 13, Issue 5

    Abstract: Tuberculosis (TB) is among the more frequent causes of death in many countries. For pulmonary TB, early diagnosis greatly increases the efficiency of therapies. Although highly sensitive tests based on nucleic acid amplification tests (NAATs) and loop- ... ...

    Abstract Tuberculosis (TB) is among the more frequent causes of death in many countries. For pulmonary TB, early diagnosis greatly increases the efficiency of therapies. Although highly sensitive tests based on nucleic acid amplification tests (NAATs) and loop-mediated isothermal amplification (TB-LAMP) are available, smear microscopy is still the most widespread diagnostics method in most low-middle-income countries, and the true positive rate of smear microscopy is lower than 65%. Thus, there is a need to increase the performance of low-cost diagnosis. For many years, the use of sensors to analyze the exhaled volatile organic compounds (VOCs) has been proposed as a promising alternative for the diagnosis of several diseases, including tuberculosis. In this paper, the diagnostic properties of an electronic nose (EN) based on sensor technology previously used to identify tuberculosis have been tested on-field in a Cameroon hospital. The EN analyzed the breath of a cohort of subjects including pulmonary TB patients (46), healthy controls (38), and TB suspects (16). Machine learning analysis of the sensor array data allows for the identification of the pulmonary TB group with respect to healthy controls with 88% accuracy, 90.8% sensitivity, 85.7% specificity, and 0.88 AUC. The model trained with TB and healthy controls maintains its performance when it is applied to symptomatic TB suspects with a negative TB-LAMP. These results encourage the investigation of electronic noses as an effective diagnostic method for future inclusion in clinical practice.
    MeSH term(s) Humans ; Tuberculosis/diagnosis ; Tuberculosis, Pulmonary/diagnosis ; Breath Tests/methods ; Microscopy ; Nucleic Acid Amplification Techniques/methods ; Exhalation ; Sensitivity and Specificity
    Language English
    Publishing date 2023-05-22
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662125-3
    ISSN 2079-6374 ; 2079-6374
    ISSN (online) 2079-6374
    ISSN 2079-6374
    DOI 10.3390/bios13050570
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Estimation of wind power in coastal areas using a Model based on the learning of a Multilayer Perceptron

    Nkeng Matip Michel Jessy / Ndjakomo Essiane S. / Ngoffe S. Perabi / Ketchanji Mougang Yolande Christelle

    E3S Web of Conferences, Vol 354, p

    Case of Douala, Cameroon

    2022  Volume 01009

    Abstract: In recent years, the scientific community has been concerned about the threat of global warming. This phenomenon is due to the increase of greenhouse gas emissions greenhouse gas emissions due to human activity. Renewable energies present themselves as a ...

    Abstract In recent years, the scientific community has been concerned about the threat of global warming. This phenomenon is due to the increase of greenhouse gas emissions greenhouse gas emissions due to human activity. Renewable energies present themselves as a potential solution to reduce to reduce greenhouse gas emissions. Among the promising means of production As part of its policy of promoting renewable energy, the Cameroonian government launches each year projects in this area, hence the need to study the various sites and according to the parameters that are most often stochastic, hence the problem of choosing the type of wind power choose and implement. Thus this paper proposes a method of estimating the power produced according to the wind speed data of the scale coefficient and the shape on the station P/30 of Douala of the site of ASECNA - Douala Cameroon over a period of one year which presents different characteristics on the four seasons of the coastal areas of Cameroon by using the distribution of Weibull and by proposing another method using artificial intelligence

    This instability offers the opportunity to study other methods of power estimation using, as in this work, a multilayer perceptron type neural network. Based on the Weibull parameters, the power estimation is done by both approaches according to the different coastal seasons: hard dry season, short rainy season, short dry season and long rainy season. In addition, the form factor and scale factor fluctuated over the year from 1.36 to 1.94 and from 2.74 m/s to 3.80 m/s for different periods respectively. It was found that the average wind speed is 1.309 m/s, the average power for this site is 289.46 MW, and the months of March and July have high powers because the winds are warmer in these periods. For estimation we used a multi-layer perceptron consisting of: 03 input layers (wind speed, form factor and scale factor), 02 hidden layers of 10 neurons each and one output layer (wind turbine power), for training we used the gradient ...
    Keywords estimation ; wind power ; multilayer perceptron ; Environmental sciences ; GE1-350
    Subject code 551
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher EDP Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Sensor array and gas chromatographic detection of the blood serum volatolomic signature of COVID-19.

    Mougang, Yolande Ketchanji / Di Zazzo, Lorena / Minieri, Marilena / Capuano, Rosamaria / Catini, Alexandro / Legramante, Jacopo Maria / Paolesse, Roberto / Bernardini, Sergio / Di Natale, Corrado

    iScience

    2021  Volume 24, Issue 8, Page(s) 102851

    Abstract: Volatolomics is gaining consideration as a viable approach to diagnose several diseases, and it also shows promising results to discriminate COVID-19 patients via breath analysis. This paper extends the study of the relationship between volatile ... ...

    Abstract Volatolomics is gaining consideration as a viable approach to diagnose several diseases, and it also shows promising results to discriminate COVID-19 patients via breath analysis. This paper extends the study of the relationship between volatile compounds (VOCs) and COVID-19 to blood serum. Blood samples were collected from subjects recruited at the emergency department of a large public hospital. The VOCs were analyzed with a gas chromatography mass spectrometer (GC/MS). GC/MS data show that in more than 100 different VOCs, the pattern of abundances of 17 compounds identifies COVID-19 from non-COVID with an accuracy of 89% (sensitivity 94% and specificity 83%). GC/MS analysis was complemented by an array of gas sensors whose data achieved an accuracy of 89% (sensitivity 94% and specificity 80%).
    Language English
    Publishing date 2021-07-10
    Publishing country United States
    Document type Journal Article
    ISSN 2589-0042
    ISSN (online) 2589-0042
    DOI 10.1016/j.isci.2021.102851
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Sensor array and gas chromatographic detection of the blood serum volatolomic signature of COVID-19

    Yolande Ketchanji Mougang / Lorena Di Zazzo / Marilena Minieri / Rosamaria Capuano / Alexandro Catini / Jacopo Maria Legramante / Roberto Paolesse / Sergio Bernardini / Corrado Di Natale

    iScience, Vol 24, Iss 8, Pp 102851- (2021)

    2021  

    Abstract: Summary: Volatolomics is gaining consideration as a viable approach to diagnose several diseases, and it also shows promising results to discriminate COVID-19 patients via breath analysis. This paper extends the study of the relationship between volatile ...

    Abstract Summary: Volatolomics is gaining consideration as a viable approach to diagnose several diseases, and it also shows promising results to discriminate COVID-19 patients via breath analysis. This paper extends the study of the relationship between volatile compounds (VOCs) and COVID-19 to blood serum. Blood samples were collected from subjects recruited at the emergency department of a large public hospital. The VOCs were analyzed with a gas chromatography mass spectrometer (GC/MS). GC/MS data show that in more than 100 different VOCs, the pattern of abundances of 17 compounds identifies COVID-19 from non-COVID with an accuracy of 89% (sensitivity 94% and specificity 83%). GC/MS analysis was complemented by an array of gas sensors whose data achieved an accuracy of 89% (sensitivity 94% and specificity 80%).
    Keywords Health sciences ; Diagnostics ; Biotechnology ; Medical biotechnology ; Science ; Q
    Language English
    Publishing date 2021-08-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article: Urine LOX-1 and Volatilome as Promising Tools towards the Early Detection of Renal Cancer.

    Murdocca, Michela / Torino, Francesco / Pucci, Sabina / Costantini, Manuela / Capuano, Rosamaria / Greggi, Chiara / Polidoro, Chiara / Somma, Giuseppina / Pasqualetti, Valentina / Ketchanji Mougang, Yolande / Catini, Alexandro / Simone, Giuseppe / Paolesse, Roberto / Orlandi, Augusto / Mauriello, Alessandro / Roselli, Mario / Magrini, Andrea / Novelli, Giuseppe / Di Natale, Corrado /
    Sangiuolo, Federica Carla

    Cancers

    2021  Volume 13, Issue 16

    Abstract: Renal cell carcinoma (RCC) represents around 3% of all cancers, within which clear cell RCC (ccRCC) are the most common type (70-75%). The RCC disease regularly progresses asymptomatically and upon presentation is recurrently metastatic, therefore, an ... ...

    Abstract Renal cell carcinoma (RCC) represents around 3% of all cancers, within which clear cell RCC (ccRCC) are the most common type (70-75%). The RCC disease regularly progresses asymptomatically and upon presentation is recurrently metastatic, therefore, an early method of detection is necessary. The identification of one or more specific biomarkers measurable in biofluids (i.e., urine) by combined approaches could surely be appropriate for this kind of cancer, especially due to easy obtainability by noninvasive method. OLR1 is a metabolic gene that encodes for the Lectin-like oxidized low-density lipoprotein receptor-1 (LOX-1), implicated in inflammation, atherosclerosis, ROS, and metabolic disorder-associated carcinogenesis. Specifically, LOX-1 is clearly involved in tumor insurgence and progression of different human cancers. This work reports for the first time the presence of LOX-1 protein in ccRCC urine and its peculiar distribution in tumoral tissues. The urine samples headspace has also been analyzed for the presence of the volatile compounds (VOCs) by SPME-GC/MS and gas sensor array. In particular, it was found by GC/MS analysis that 2-Cyclohexen-1-one,3-methyl-6-(1-methylethyl)- correlates with LOX-1 concentration in urine. The combined approach of VOCs analysis and protein quantification could lead to promising results in terms of diagnostic and prognostic potential for ccRCC tumors.
    Language English
    Publishing date 2021-08-21
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2527080-1
    ISSN 2072-6694
    ISSN 2072-6694
    DOI 10.3390/cancers13164213
    Database MEDical Literature Analysis and Retrieval System OnLINE

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