Wyniki wyszukiwania - BazTech

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Kropki kwantowe jako narzędzia diagnostyczne

Gruba Natalia, Rejmak Wiktoria, Romanowska Anita, Lesner Adam

Wiadomości Chemiczne

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2024

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[Z] 78, 3-4

369--387

EN

The discovery of quantum dots (QDs) was a breakthrough event as it influenced almost every area of our lives. They are used in new technologies, the food industry, clothing production, and finally in medicine. Due to their unique properties, QDs are successfully used in the diagnosis of diseases of various origins - the so-called civilization diseases, infections and cancers. Quantum dots can also serve as tools to monitor the proteolytic activity of enzymes, effectively lowering the detection limit. Our team has been dealing with the proteolytic activity of enzymes for many years, especially in disease diagnosis, for which we also use quantum dots. In this article, we presented the main trends in the use of QDs as diagnostic tools.

2

Sondy fluorescencyjne jako czujniki biomolekuł

Szwaczko Katarzyna

Laboratorium - Przegląd Ogólnopolski

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2024

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nr 1

47--51

PL

Sondy luminescencyjne znajdują zastosowanie w różnych dziedzinach medycyny, takich jak: obrazowanie molekularne, badania nad chorobami, diagnostyka i monitorowanie procesów biologicznych. Dzięki swojej zdolności do precyzyjnego oznaczania i obrazowania różnych składników lub procesów w organizmach stanowią cenne narzędzie w badaniach laboratoryjnych i klinicznych. W niniejszym artykule zostanie przedstawiony potencjał obrazowania luminescencyjnego w diagnostyce schorzeń związanych z niewłaściwym poziomem związków tiolowych w komórkach.

EN

Luminescent probes are used in various medical fields, such as molecular imaging, research on diseases, diagnostics, and monitoring of biological processes. With their ability to accurately determine and image various components or processes in organisms, they are a valuable tool in laboratory testing and clinical research. This article presents the potential of luminescence imaging in the diagnosis of diseases associated with inappropriate levels of thiol compounds in cells.

3

Optimizing infectious disease diagnostics through AI-driven hybrid decision making structures based on image analysis

Ahsan Muhammad, Damaševičius Robertas, Shahzad Sarmad

International Journal of Applied Mathematics and Computer Science

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2024

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Vol. 34, no. 4

549--563

EN

Infectious diseases significantly impact global mortality rates, with their complex symptoms complicating the assessment and determination of infection severity. Various countries grapple with different forms of these diseases. This research utilizes three AI-based decision-making techniques to refine diagnostic processes through the analysis of medical imagery. The goal is achieved by developing a mathematical model that identifies potential infectious diseases from medical images, adopting a multi-criteria decision-making approach. The avant-garde, AI-centric methodologies are introduced, harnessing an innovative amalgamation of hypersoft sets in a fuzzy context. Decision-making might include recommendations for isolation, quarantine in domestic or specialized environments, or hospital admission for treatment. Visual representations are used to enhance comprehension and underscore the importance and efficacy of the proposed method. The foundational theory and outcomes associated with this innovative approach indicate its potential for broad application in areas like machine learning, deep learning, and pattern recognition.

4

Wspomaganie diagnostyki i leczenia chorób nerek przy wykorzystaniu systemu ekspertowego

Buchalski Z.

Pomiary Automatyka Kontrola

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2005

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R. 51, nr 9 bis

346--347

PL

W pracy przedstawiono pewną koncepcję systemu ekspertowego dla potrzeb diagnostyki różnych przypadków chorobowych. Przedstawiono pewien sposób zarządzania wiedzą zawartą w bazie wiedzy systemu ekspertowego. Zaprezentowano mechanizm akwizycji wiedzy oraz przebieg procesu wnioskowania na elementach bazy wiedzy systemu ekspertowego. Wybrana została do realizacji metoda reprezentowania wiedzy w bazie wiedzy oparta na regułach.

EN

In this paper an conception of expert system for the needs of various disease diagnostics is described. The problem of knowledge management in expert system is presented. Mechanism of knowledge acquisition and collide of reasoning process on the elements of knowledge base of expert system are considered. To realization of this model the rules representation of knowledge is selected.