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        Organ-on-a-Chip: The Future of Therapeutic Aptamer Research?

        Tran Thoa Thi Thanh,Delgado Antonio,정세훈 한국바이오칩학회 2021 BioChip Journal Vol.15 No.2

        The aptamer, known as a chemical antibody, has proven to be of high diagnostic and therapeutic value with the FDA’s first aptamer drug in 2004 and many aptamers under clinical validation. However, the clinical translation of aptamer for therapeutics has been delayed because of the limitation of using the target model during selection and a lack of information on several crucial factors, including their inherent physicochemical characterization and safety, and the function. Three-dimensional (3D) structure tissue provides proof of in-depth functionality due to their maturity and 3D complexity, enabling them to get information on the natural structure of the target for human treatment. The organ-on-a-chip integrates microfl uidic technology with 3D cell culture that possesses in vivo-like tissue-based models that have been engineered for validation to transform the commercial drug discovery. Thus, the organ-on-a-chip may off er a promising solution for the addressed problems, enhancing the clinical translation procedure for aptamer-based therapeutics. Motivated by the advantageous function of the aptamerbased organ-on-a-chip system, we update the current technology to generate aptamers using SELEX (Systematic Evolution of Ligands by EXponential Enrichment) and confi rm the application of aptamers to various long-term treatments. We can also accurately analyze the advantages of organ-on-a-chips and present the necessity of developing aptamer-based organon-a-chip systems. In this regard, the aptamer-based organ-on-a-chip is expected to increase the possibility of creating an aptamer as a therapeutic agent by more accurately selecting and verifying the aptamer that aff ects specifi c organ treatment.

      • A Novel Heuristic Algorithm for Online 3D Bin Packing

        Thanh-Hung Nguyen,Viet-Thang Tran,Phan-Quan Doan,Thi-Thoa Mac 제어로봇시스템학회 2021 제어로봇시스템학회 국제학술대회 논문집 Vol.2021 No.10

        The paper presents a novel heuristic algorithm to solve the problem of automatically packing 3-dimensional boxes into containers. In this application, the collection of boxes is unknown, and a box must be packed immediately before the next box appears. The algorithm is developed based on the main and secondary data systems. The main data system describes the spaces that are large enough to fit a box. The secondary data system describes the small spaces that cannot accommodate boxes. The search algorithm based on these two data systems allows to reduce the workload of searching and is convenient in organizing and editing data systems. Experimental results show that this method is superior in terms of processing speed and packed volume ratio.

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