Researcher:
Dabbagh, Sajjad Rahmani

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PhD Student

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Sajjad Rahmani

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Dabbagh

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Dabbagh, Sajjad Rahmani

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2020 - 202317

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Now showing 1 - 10 of 17
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    Additive manufacturing and three-dimensional printing in obstetrics and gynecology: a comprehensive review
    (Springer, 2023) Yaşlı, Mert; Dabbagh, Sajjad Rahmani; Taşoğlu, Savaş; Aydın, Serdar; Undergraduate Student; PhD Student; Faculty Member; Faculty Member; School of Medicine; Graduate School of Sciences and Engineering; School of Medicine; School of Medicine; N/A; N/A; N/A; Koç University Hospital; N/A; N/A; 291971; 132535
    Three-dimensional (3D) printing, also known as additive manufacturing, is a technology used to create complex 3D structures out of a digital model that can be almost any shape. Additive manufacturing allows the creation of customized, finely detailed constructs. Improvements in 3D printing, increased 3D printer availability, decreasing costs, development of biomaterials, and improved cell culture techniques have enabled complex, novel, and customized medical applications to develop. There have been rapid development and utilization of 3D printing technologies in orthopedics, dentistry, urology, reconstructive surgery, and other health care areas. Obstetrics and Gynecology (OBGYN) is an emerging application field for 3D printing. This technology can be utilized in OBGYN for preventive medicine, early diagnosis, and timely treatment of women-and-fetus-specific health issues. Moreover, 3D printed simulations of surgical procedures enable the training of physicians according to the needs of any given procedure. Herein, we summarize the technology and materials behind additive manufacturing and review the most recent advancements in the application of 3D printing in OBGYN studies, such as diagnosis, surgical planning, training, simulation, and customized prosthesis. Furthermore, we aim to give a future perspective on the integration of 3D printing and OBGYN applications and to provide insight into the potential applications.
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    Biomedical applications of magnetic levitation
    (Wiley-V C H Verlag Gmbh, 2022) Alseed, M. Munzer; N/A; N/A; Department of Mechanical Engineering; Department of Mechanical Engineering; Dabbagh, Sajjad Rahmani; Saadat, Milad; Sitti, Metin; Taşoğlu, Savaş; PhD Student; PhD Student; Faculty Member; Faculty Member; Department of Mechanical Engineering; KU Arçelik Research Center for Creative Industries (KUAR) / KU Arçelik Yaratıcı Endüstriler Uygulama ve Araştırma Merkezi (KUAR); Graduate School of Sciences and Engineering; Graduate School of Sciences and Engineering; College of Engineering; College of Engineering; N/A; N/A; 297104; 291971
    Magnetic levitation (MagLev) is a user-friendly, electricity-free, accurate, affordable, and label-free platform for chemical and biological applications owing to its ability to suspend and separate a wide range of diamagnetic materials (e.g., plastics, polymers, cells, and proteins) based on their density. Various MagLev designs (e.g., standard, single and double ring, titled, and rotational MagLev setups) are presented in the literature with a trade-off between sensitivity and detection range. Herein, various MagLev designs, the advantages and pitfalls of each method, and current challenges encountered by MagLev platforms are reviewed. Moreover, end applications of MagLev are presented in single-cell and protein analysis, diseases diagnosis (e.g., cancer and hepatitis C), tissue engineering, 3D self-assembly, and forensic case studies to provide an insight regarding the potentials of MagLev.
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    Recent technological developments in the diagnosis and treatment of cerebral edema
    (Wiley-V C H Verlag Gmbh, 2021) Deshmukh, Karthikeya P.; Jiang, Nan; Yetişen, Ali K.; N/A; Department of Mechanical Engineering; Dabbagh, Sajjad Rahmani; Taşoğlu, Savaş; N/A; Faculty Member; Department of Mechanical Engineering; Graduate School of Sciences and Engineering; College of Engineering; N/A; 291971
    Latest technological advancements in neurocritical care have translated to improved clinical outcomes and have paved the way for the effective diagnosis and treatment of cerebral edema. Effective management of cerebral edema has the potential to provide a personalized treatment by obtaining the complete pathophysiological information of the patient. The aims of this review are to inform the reader about the research and development in this field in the past decade as well as the materialization of scientific literature through patents. There is a growing interest in multimodal monitoring of the diseased brain as it provides a necessary means to implement effective intervention strategies. Although there is a gradual shift toward the adoption of noninvasive devices for research purposes, their clinical applications are hindered by their inaccuracies. However, the inherent risk of complication and high costs of implementation challenge the status quo. The role of neuroprotectants is explored and the combination of neurodiagnostic and neuroprotective approaches is proposed. Finally, the impacts of the current state of global affairs are discussed and it is predicted that the rising number of traumatic brain injury patents will inevitably translate to improvements in technologies to effectively address cerebral edema.
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    Portable magnetic levitation technologies
    (Walter De Gruyter Gmbh, 2021) Alseed, M. Munzer; Zhao, Peng; N/A; Department of Media and Visual Arts; Department of Mechanical Engineering; Dabbagh, Sajjad Rahmani; Özcan, Oğuzhan; Taşoğlu, Savaş; PhD Student; Faculty Member; Faculty Member; Department of Media and Visual Arts; Department of Mechanical Engineering; Graduate School of Sciences and Engineering; College of Social Sciences and Humanities; College of Engineering; N/A; 12532; 291971
    Magnetic levitation (MagLev) is a density-based method which uses magnets and a paramagnetic medium to suspend multiple objects simultaneously as a result of an equilibrium between gravitational, buoyancy, and magnetic forces acting on the particle. Early MagLev setups were bulky with a need for optical or fluorescence microscopes for imaging, confining portability, and accessibility. Here, we review design criteria and the most recent end-applications of portable smartphone-based and self-contained MagLev setups for density-based sorting and analysis of microparticles. Additionally, we review the most recent end applications of those setups, including disease diagnosis, cell sorting and characterization, protein detection, and point-of-care testing.
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    Increasing the packing density of assays in paper-based microfluidic devices
    (Aip Publishing, 2021) Becher, Elaina; Ghaderinezhad, Fariba; Özkan, Mehmed; Yetişen, Ali Kemal; N/A; Department of Mechanical Engineering; N/A; Department of Media and Visual Arts; Dabbagh, Sajjad Rahmani; Taşoğlu, Savaş; Havlucu, Hayati; Özcan, Oğuzhan; N/A; Faculty Member; PhD Student; Faculty Member; Department of Mechanical Engineering; Department of Media and Visual Arts; Graduate School of Sciences and Engineering; College of Engineering; Graduate School of Social Sciences and Humanities; College of Social Sciences and Humanities; N/A; 291971; N/A; 12532
    Paper-based devices have a wide range of applications in point-of-care diagnostics, environmental analysis, and food monitoring. Paper-based devices can be deployed to resource-limited countries and remote settings in developed countries. Paper-based point-of-care devices can provide access to diagnostic assays without significant user training to perform the tests accurately and timely. The market penetration of paper-based assays requires decreased device fabrication costs, including larger packing density of assays (i.e., closely packed features) and minimization of assay reagents. In this review, we discuss fabrication methods that allow for increasing packing density and generating closely packed features in paper-based devices. To ensure that the paper-based device is low-cost, advanced fabrication methods have been developed for the mass production of closely packed assays. These emerging methods will enable minimizing the volume of required samples (e.g., liquid biopsies) and reagents in paper-based microfluidic devices.
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    Point-of-care diagnostic platforms for loop-mediated isothermal amplification
    (Wiley-V C H Verlag Gmbh, 2023) Alseed, Muhammad Munzer; Yetişen, Ali K; N/A; N/A; Department of Mechanical Engineering; Atçeken, Nazente; Dabbagh, Sajjad Rahmani; Taşoğlu, Savaş; Researcher; PhD Student; Faculty Member; Department of Mechanical Engineering; Koç University Research Center for Translational Medicine (KUTTAM) / Koç Üniversitesi Translasyonel Tıp Araştırma Merkezi (KUTTAM); KU Arçelik Research Center for Creative Industries (KUAR) / KU Arçelik Yaratıcı Endüstriler Uygulama ve Araştırma Merkezi (KUAR); N/A; Graduate School of Sciences and Engineering; College of Engineering; N/A; N/A; 291971
    The loop-mediated isothermal amplification (LAMP) method is one of the Nucleic acid amplification tests (NAATs) that allows for the amplification of target regions without using a thermal cycle. With its unique primer design, LAMP ensures the rapid replication of the targeted DNA region with high specificity and high efficiency. LAMP technology is used for diagnostic purposes in pathogen detection due to its ease of use, low cost, and simplicity without requiring complex equipment. A wide range of LAMP diagnostic platforms have been developed for applications in bacteria, virus, and parasitic pathogen detection. Herein, the methodology of LAMP technology and its applications in pathogen detection and SNP genotyping and mutation detection are discussed. Point-of-care (PoC) LAMP platforms designed with the principles of microfluidic chip technology, including LAMP-on-a-chip, paper-based LAMP, and smartphone-based LAMP applications have been elaborated. LAMP technology represents a fast, robust, and reliable diagnostic platform for point-of-care testing.
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    Machine learning-enabled optimization of extrusion-based 3D printing
    (Academic Press Inc Elsevier Science, 2022) N/A; Department of Media and Visual Arts; Department of Mechanical Engineering; Dabbagh, Sajjad Rahmani; Özcan, Oğuzhan; Taşoğlu, Savaş; PhD Stud; ent; Faculty Member; Faculty Member; Department of Media and Visual Arts; Department of Mechanical Engineering; Research Center for Creative Industries (KUAR) / KU Arçelik Yaratıcı Endüstriler Uygulama ve Araştırma Merkezi (KUAR); Graduate School of Sciences and Engineering; College of Social Sciences and Humanities; College of Engineering; N/A; 12532; 291971
    Machine learning (ML) and three-dimensional (3D) printing are among the fastest-growing branches of science. While ML can enable computers to independently learn from available data to make decisions with minimal human intervention, 3D printing has opened up an avenue for modern, multi-material, manufacture of complex 3D structures with a rapid turn-around ability for users with limited manufacturing experience. However, the determination of optimum printing parameters is still a challenge, increasing pre-printing process time and material wastage. Here, we present the first integration of ML and 3D printing through an easy-to-use graphical user interface (GUI) for printing parameter optimization. Unlike the widely held orthogonal design used in most of the 3D printing research, we, for the first time, used nine different computer-aided design (CAD) images and in order to enable ML algorithms to distinguish the difference between designs, we devised a self-designed method to calculate the "complexity index" of CAD designs. In addition, for the first time, the similarity of the print outcomes and CAD images are measured using four different self-designed labeling methods (both manually and automatically) to figure out the best labeling method for ML purposes. Subsequently, we trained eight ML algorithms on 224 datapoints to identify the best ML model for 3D printing applications. The "gradient boosting regression" model yields the best prediction performance with an R-2 score of 0.954. The ML-embedded GUI developed in this study enables users (either skilled or unskilled in 3D printing and/or ML) to simply upload a design (desired to print) to the GUI along with desired printing temperature and pressure to obtain the approximate similarity in the case of actual 3D printing of the uploaded design. This ultimately can prevent error-and-trial steps prior to printing which in return can speed up overall design-to-end-product time with less material waste and more cost-efficiency.
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    Microfluidics for microalgal biotechnology
    (Wiley, 2021) Haznedaroğlu, Berat Z.; N/A; N/A; N/A; Department of Physics; Department of Mechanical Engineering; Özdalgıç, Berin; Üstün, Merve; Dabbagh, Sajjad Rahmani; Kiraz, Alper; Taşoğlu, Savaş; PhD Student; PHD Student; N/A; Faculty Member; Faculty Member; Department of Physics; Department of Mechanical Engineering; N/A; N/A; KU Arçelik Research Center for Creative Industries (KUAR) / KU Arçelik Yaratıcı Endüstriler Uygulama ve Araştırma Merkezi (KUAR); Koç University Research Center for Translational Medicine (KUTTAM) / Koç Üniversitesi Translasyonel Tıp Araştırma Merkezi (KUTTAM); KU Arçelik Research Center for Creative Industries (KUAR) / KU Arçelik Yaratıcı Endüstriler Uygulama ve Araştırma Merkezi (KUAR); Koç University Research Center for Translational Medicine (KUTTAM) / Koç Üniversitesi Translasyonel Tıp Araştırma Merkezi (KUTTAM); N/A; Graduate School of Sciences and Engineering; N/A; College of Science; College of Engineering; 323683; N/A; N/A; 22542; 291971
    Microalgae have expanded their roles as renewable and sustainable feedstocks for biofuel, smart nutrition, biopharmaceutical, cosmeceutical, biosensing, and space technologies. They accumulate valuable biochemical compounds from protein, carbohydrate, and lipid groups, including pigments and carotenoids. Microalgal biomass, which can be adopted for multivalorization under biorefinery settings, allows not only the production of various biofuels but also other value-added biotechnological products. However, state-of-the-art technologies are required to optimize yield, quality, and the economical aspects of both upstream and downstream processes. As such, the need to use microfluidic-based devices for both fundamental research and industrial applications of microalgae, arises due to their microscale sizes and dilute cultures. Microfluidics-based devices are superior to their competitors through their ability to perform multiple functions such as sorting and analyzing small amounts of samples (nanoliter to picoliter) with higher sensitivities. Here, we review emerging applications of microfluidic technologies on microalgal processes in cell sorting, cultivation, harvesting, and applications in biofuels, biosensing, drug delivery, and nutrition.
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    PublicationOpen Access
    3D bioprinted organ?on?chips
    (Wiley, 2022) Mustafaoğlu, Nur; Zhang, Yu Shrike; Department of Mechanical Engineering; N/A; N/A; Dabbagh, Sajjad Rahmani; Sarabi, Misagh Rezapour; Birtek, Mehmet Tuğrul; Taşoğlu, Savaş; Faculty Member; Department of Mechanical Engineering; KU Arçelik Research Center for Creative Industries (KUAR) / KU Arçelik Yaratıcı Endüstriler Uygulama ve Araştırma Merkezi (KUAR); Koç Üniversitesi İş Bankası Yapay Zeka Uygulama ve Araştırma Merkezi (KUIS AI)/ Koç University İş Bank Artificial Intelligence Center (KUIS AI); College of Engineering; Graduate School of Social Sciences and Humanities; Graduate School of Sciences and Engineering; N/A; N/A; N/A; 291971
    Organ-on-a-chip (OOC) platforms recapitulate human in vivo-like conditions more realistically compared to many animal models and conventional two-dimensional cell cultures. OOC setups benefit from continuous perfusion of cell cultures through microfluidic channels, which promotes cell viability and activities. Moreover, microfluidic chips allow the integration of biosensors for real-time monitoring and analysis of cell interactions and responses to administered drugs. Three-dimensional (3D) bioprinting enables the fabrication of multicell OOC platforms with sophisticated 3D structures that more closely mimic human tissues. 3D-bioprinted OOC platforms are promising tools for understanding the functions of organs, disruptive influences of diseases on organ functionality, and screening the efficacy as well as toxicity of drugs on organs. Here, common 3D bioprinting techniques, advantages, and limitations of each method are reviewed. Additionally, recent advances, applications, and potentials of 3D-bioprinted OOC platforms for emulating various human organs are presented. Last, current challenges and future perspectives of OOC platforms are discussed.
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    PublicationOpen Access
    3D-printed microrobots from design to translation
    (Nature Portfolio, 2022) Department of Mechanical Engineering; N/A; Dabbagh, Sajjad Rahmani; Sarabi, Misagh Rezapour; Birtek, Mehmet Tuğrul; Sitti, Metin; Taşoğlu, Savaş; Faculty Member; Faculty Member; Department of Mechanical Engineering; KU Arçelik Research Center for Creative Industries (KUAR) / KU Arçelik Yaratıcı Endüstriler Uygulama ve Araştırma Merkezi (KUAR); Koç Üniversitesi İş Bankası Yapay Zeka Uygulama ve Araştırma Merkezi (KUIS AI)/ Koç University İş Bank Artificial Intelligence Center (KUIS AI); Koç University Research Center for Translational Medicine (KUTTAM) / Koç Üniversitesi Translasyonel Tıp Araştırma Merkezi (KUTTAM); Graduate School of Health Sciences; Graduate School of Sciences and Engineering; School of Medicine; College of Engineering; N/A; N/A; N/A; N/A; 297104; 291971
    Microrobots have attracted the attention of scientists owing to their unique features to accomplish tasks in hard-to-reach sites in the human body. Microrobots can be precisely actuated and maneuvered individually or in a swarm for cargo delivery, sampling, surgery, and imaging applications. In addition, microrobots have found applications in the environmental sector (e.g., water treatment). Besides, recent advancements of three-dimensional (3D) printers have enabled the high-resolution fabrication of microrobots with a faster design-production turnaround time for users with limited micromanufacturing skills. Here, the latest end applications of 3D printed microrobots are reviewed (ranging from environmental to biomedical applications) along with a brief discussion over the feasible actuation methods (e.g., on- and off-board), and practical 3D printing technologies for microrobot fabrication. In addition, as a future perspective, we discussed the potential advantages of integration of microrobots with smart materials, and conceivable benefits of implementation of artificial intelligence (AI), as well as physical intelligence (PI). Moreover, in order to facilitate bench-to-bedside translation of microrobots, current challenges impeding clinical translation of microrobots are elaborated, including entry obstacles (e.g., immune system attacks) and cumbersome standard test procedures to ensure biocompatibility.