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Hollow fiber bioreactor with genetically modified hepatic cells as a model of biologically active function block of the bioartificial liver

Jakubowska Małgorzata, Wisniewska Monika Joanna, Wencel Agnieszka, Wojciechowski Cezary, Gora Monika, Dudek Krzysztof, Chwojnowski Andrzej, Burzynska Beata, Pijanowska Dorota Genowefa, Pluta Krzysztof Dariusz

Biocybernetics and Biomedical Engineering

2024

Vol. 44, no. 1

9--19

Chronic liver disease and cirrhosis, that can lead to liver failure, are major public health issues, with liver transplantation as the only effective treatment. However, the limited availability of transplantable organs has spurred research into alternative therapies, including bioartificial livers. To date, liver hybrid support devices, using porcine hepatocytes or hepatoma-derived cell lines, have failed to demonstrate efficacy in clinical trials. Here, for the first time, we report the construction of a model of biologically active function block of bioartificial liver based on a hollow fiber bioreactor populated with genetically modified hepatic cells. For comprehensive comparison the culturing of hepatic cells was carried out in both static and dynamic conditions in a medium that flowed through porous polysulfone capillaries. The most crucial parameters, such as cell viability, glucose consumption, albumin secretion and urea production, were analyzed in static conditions while glucose usage and albumin production were compared in dynamic cell cultures. This model has the potential to improve the development of bioartificial liver devices and contribute to the treatment of patients with impaired liver function.

Development of novel ensemble model using stacking learning and evolutionary computation techniques for automated hepatocellular carcinoma detection

Ksiazek Wojciech, Hammad Mohamed, Plawiak Pawel, Acharya U. Rajendra, Tadeusiewicz Ryszard

Biocybernetics and Biomedical Engineering

2020

Vol. 40, no. 4

1512--1524

The most common type of liver cancer is hepatocellular carcinoma (HCC), which begins in hepatocytes. The HCC, like most types of cancer, does not show symptoms in the early stages and hence it is difficult to detect at this stage. The symptoms begin to appear in the advanced stages of the disease due to the unlimited growth of cancer cells. So, early detection can help to get timely treatment and reduce the mortality rate. In this paper, we proposes a novel machine learning model using seven classifiers such as K-nearest neighbor (KNN), random forest, Naïve Bayes, and other four classifiers combined to form stacking learning (ensemble) method with genetic optimization helping to select the features for each classifier to obtain highest HCC detection accuracy. In addition to preparing the data and make it suitable for further processing, we performed the normalization techniques. We have used KNN algorithm to fill in the missing values. We trained and evaluated our developed algorithm using 165 HCC patients collected from Coimbra's Hospital and University Centre (CHUC) using stratified cross-validation techniques. There are total of 49 clinically significant features in this dataset, which are divided into two groups such as quantitative and qualitative groups. Our proposed algorithm has achieved the highest accuracy and F1-score of 0.9030 and 0.8857, respectively. The developed model is ready to be tested with huge database and can be employed in cancer screening laboratories to aid the clinicians to make an accurate diagnosis.

Badania nad procesem ciągłego odlewania prętów ze stopu aluminium gatunku EN AW-8176 uzyskanych z przewodowego złomu

Jabłoński M., Knych T., Kwaśniewski P., Kiesiewicz G.

Rudy i Metale Nieżelazne

2013

R. 58, nr 8

417-421

Zainteresowanie nowymi możliwościami odlewania aluminium, jako wsadu do procesu ciągnienia stosowanego na cele elektryczne, podyktowane jest nie tylko względami ekonomicznymi wynikającymi z rodzaju zastosowanej technologii odlewania i jej energochłonności, ale również stosunkowo dużymi możliwościami kształtowania ponadstandardowych właściwości samego materiału w linii odlewniczej. Poprzez odpowiedni dobór parametrów procesu odlewania istnieje możliwość kształtowania struktury odlewu, co ma bezpośredni wpływ na poziom uzyskiwanych właściwości mechaniczno-elektrycznych drutów. W artykule przedstawiono wyniki badań przeprowadzonych dla aluminium gatunku EN AW-8176 otrzymanego dwiema metodami odlewania; przemysłowego, z linii ciągłego odlewania i walcowania metodą Continuus-Properzi (C-P) oraz laboratoryjnego procesu ciągłego odlewania poziomego (Horizontal Continuous Casting). Porównano parametry procesu odlewania, zbadano makro- i mikrostrukturę odlewów oraz właściwości mechaniczno-elektryczne drutów przeciągniętych z wlewków. Wykazano, iż istnieje możliwość odlewania poziomego prętów aluminiowych przez krystalizator grafitowy o średnicy 14 mm z przewodowego złomu i uzyskać zbliżony poziom właściwości mechaniczno-elektrycznych drutów do materiału przemysłowego.

The interest of the new opportunities of aluminum casting, as the feedstock to the wire drawing process used for electrical purposes, is dictated not only by economic considerations arising from the type of the casting technology and its energy consumption, but also a relatively high potential development of non-standard properties of the material in the casting line. By appropriate selection of the parameters of the casting process it is possible to shape the structure of ingot, which has a direct effect on the mechanical and electrical properties of wires. This paper presents the results of the tests for aluminum grade EN AW-8176 prepared by two methods casting: industrial, of the continuous casting and rolling by Continuus-Properzi method (CP) and the laboratory of horizontal continuous casting process (Horizontal Continuous Casting). The casting process parameters were compared, macro-and microstructure of castings and mechanical and electrical properties of the wires obtained from ingots were examined. It has been shown that it is possible to cast the horizontal aluminum rods by graphite crystallizer of 14 mm diameter with wire scrap and get a similar level of mechanical and electrical properties of the wires for industrial material.