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The utilization of an accelerating moving light image in an optically-induced dielectrophoresis (ODEP)-based microfluidic system for the isolation of cancer cells with different responses to the cytotoxic effect of anti-cancer drugs 22

The utilization of an accelerating moving light image in an ...

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22nd International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2018

作者： Chu, Po-Yu Liao, Chia-Jung Wu, Min-Hsien Ph.D. Program in Biomedical Engineering Chang Gung University Taiwan Graduate Institute of Biomedical Engineering Chang Gung University Taiwan

ISBN: (纸本)9781510897571

Chemotherapy resistance is regarded as the main cause of therapeutic failure, making certain cancer cells survival after chemotherapy. To investigate the mechanism underlying chemotherapy resistance, an effective cell sorting technique is urgent to be developed for isolating the cancer cells with different response to anti-cancer drugs. Integrating with properties of optical-induced dielectrophoresis (ODEP) in cell manipulation, this paper presented a novel method for separating and sorting drug-treated cancer cells with their degree of cell viability by using a uniformly accelerating moving light image. Microscope observation and MTT assay have validated the concept proposed in this study. Copyright © (2018) by Chemical and Biological Microsystems Society. All rights reserved.

关键词： Cancer cells

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Review of Image-Guided Percutaneous Coronary Interventions

Review of Image-Guided Percutaneous Coronary Interventions

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2019 Advances in Science and engineering Technology International Conferences, ASET 2019

作者： Alatoom, Aseel Farhat, Jumana Dhou, Salam Biomedical Engineering Graduate Program American University of Sharjah Sharjah United Arab Emirates Department of Computer Science and Engineering Biomedical Engineering Graduate Program Biosciences and Bioengineering Research Institute American University of Sharjah Sharjah United Arab Emirates

ISBN: (纸本)9781538682715

Image-guided surgery (IGS) involves using surgical instruments tracking system to guide the surgeon during invasive surgical procedures. The use of preoperative or intraoperative images is very essential in providing navigation for different medical applications. In this paper, a literature review of different imaging modalities that aid in the diagnosis and treatment of coronary artery disease (CAD) is proposed. The imaging modalities discussed include x-ray fluoroscopy, coronary computed tomography angiography (CCTA), fractional flow reserve (FFR), cardiac single-photon emission computed tomography (SPECT), cardiovascular magnetic resonance imaging (CMRI) and ultrasound. Additionally, pseudoaneurysms, which can result from percutaneous coronary interventions (PCI) procedure, are reviewed as well as the treatment procedure. Finally, a comparison between the different imaging modalities is carried out, based on the number of papers that have been published, in addition to the sensitivity and specificity for each modality according to PubMed and Web of Science databases. © 2019 IEEE.

关键词： Ultrasonics

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BPS2025 - Characterizing force transfer across Arabidopsis thaliana linc complexes

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Biophysical Journal 2025年第3期124卷 497a-497a页

作者： Lily A. Schumacher Norman R. Groves Daniel E. Conway Iris Meier Biophysics Graduate Program The Ohio State University Columbus OH USA Department of Molecular Genetics The Ohio State University Columbus OH USA Department of Biomedical Engineering The Ohio State University Columbus OH USA

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2D and 3D photogrammetric models for respiratory analysis in adolescents

2D and 3D photogrammetric models for respiratory analysis in...

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13th Mediterranean Conference on Medical and Biological engineering and Computing 2013, MEDICON 2013

作者： Ripka, W.L. Ulbricht, Leandra Neves, E.B. Gewehr, P.M. Federal University of Technology-Paraná Graduate Program in Electrical Engineering and Computer Science Curitiba Brazil Federal University of Technology-Paraná Graduate Program in Biomedical Engineering Curitiba Brazil

ISBN: (纸本)9783319008455

The aim of this study was to test the correlation between a two dimensional (2D) and three dimensional (3D) biomechanical photogrammetric model, with inspiratory and expiratory lung capacities in adolescents. This was a cross sectional study, in which 40 adolescents of both genders were assessed, aged between 14 and 17 years old. Anthropometric data were collected (body mass, height and thorax length). Then, three tests were performed for forced vital capacity (FVC) in the supine position, using a spirometer. For FVC proof assessments, the volunteers were subjected to a mapping of body structures with adhesive markers and, after the test, one was selected with better respiratory performance for computational analysis of photogrammetric thoracoabdominal mobility. The results showed average values of 15.40, 61.29, 1.66 and 25.54, for age (years), body mass (kg), height (m) and thorax length (cm), respectively. The analysis found respiratory values of: 3:22 l for forced expiratory volume in one second, 3.87 l for forced vital capacity, 6.50 l/s for peak expiratory flow and 3.59 l for deep inspiration. The correlation showed better values for 3D photogrammetry as compared to 2D. The inclusion of the third dimension has been applied in order to adequate photogrammetric methodology to existing kinematics analysis tools as videogrammetry computed and plethysmography. © Springer International Publishing Switzerland 2014.

关键词： Photogrammetry

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Oversized Conduits Predict Stenosis in Tissue Engineered Vascular Grafts

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JACC: Basic to Translational Science 2025年

作者： Blum, Kevin M. Turner, Mackenzie E. Schwarz, Erica L. Best, Cameron A. Kelly, John M. Yates, Andrew R. Hor, Kan N. Matsuzaki, Yuichi Drews, Joseph D. Zakko, Jason Shah, Kejal Shinoka, Toshiharu Humphrey, Jay D. Marsden, Alison L. Breuer, Christopher K. Center for Regenerative Medicine The Abigail Wexner Research Institute Nationwide Children's Hospital Columbus OH United States Department of Biomedical Engineering The Ohio State University Columbus OH United States Department of Molecular Cellular and Developmental Biology The Ohio State University Columbus OH United States Biomedical Sciences Graduate Program The Ohio State University College of Medicine Columbus OH United States Department of Pediatrics and Bioengineering Stanford University Stanford CA United States Department of Biomedical Engineering Yale University New Haven CT United States Department of Pediatric Cardiology Nationwide Children's Hospital Columbus OH United States Department of Surgery The Ohio State University Wexner Medical Center Columbus OH United States Department of Surgery Nationwide Children's Hospital Columbus OH United States

Tissue-engineered vascular grafts (TEVGs) offer promising advancements in treating congenital heart disease by enabling the creation of autologous tissue for complex cardiac repairs. Our approach involves implanting biodegradable scaffolds seeded with autologous cells that remodel into functional neovessels. To understand better the factors guiding neovessel formation, we evaluated 50 ovine thoracic TEVGs using angiography at 1 and 6 weeks postimplantation. Nondimensionalization accounted for anatomical differences between animals and identified hemodynamics and surgical sizing as potential driving factors. Regression analysis revealed that narrowing at the inflow anastomosis and graft oversizing correlated significantly with stenosis development. Computational fluid dynamics showed that these factors influenced wall shear stress and flow patterns, contributing to neovessel narrowing. Comparisons with clinical trial data from Fontan conduits supported these findings, emphasizing that matching graft size to the native inflow vessel can reduce stenosis and enhance TEVG performance. © 2025 The Authors

关键词： computational fluid dynamics oversizing stenosis tissue engineered vascular graft

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Computational systems biology of metabolism in single- and multi- species microbial systems

Computational systems biology of metabolism in single- and m...

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Liaison Functions 2014 - Core programming Area at the 2014 AIChE Annual Meeting

作者： Zomorrodi, Ali R. Department of Biomedical Engineering Graduate Program in Bioinformatics Boston University BostonMA United States

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Transtibial amputee gait: Kinematics and temporal-spatial analysis

Transtibial amputee gait: Kinematics and temporal-spatial an...

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13th Mediterranean Conference on Medical and Biological engineering and Computing 2013, MEDICON 2013

作者： Ferreira, A.E.K. Neves, E.B. Melanda, A.G. Pauleto, A.C. Iucksch, D.D. Knaut, L.A.M. da Silva, R.M. da Cunha, R.F.M. Federal Technological University of Paraná Graduate Program in Biomedical Engineering Curitiba Brazil Curitiba Brazil

ISBN: (纸本)9783319008455

Transtibial amputees gait patterns are widely studied. Usually, kinematic and temporal-spatial parameters data are used to investigate their gait pattern. The Gait Profile Score (GPS) and the Movement analysis Profile (MAP) are new tolls that summarize kinematics data in one single number. The aim of this study was to use GPS, Movement analysis Profile (MAP) and temporal-spatial parameters to quantify gait deviations of a homogeneous group of transtibial amputees, using the same prosthetic components and that were rehabilitated in a specific center. Besides, it was observed the correlation between GPS scores and temporal-spatial parameters. Five unilateral traumatic transtibial amputees participated on this study. All the participants used KBM (Kondylen Bettung Münster) prosthetic fitting and solid ankle cushion heel (SACH) foot. Kinematic and temporal-spatial data were assessed through 3D gait analysis. All analyzed variables presented deviations compared with normal expected values. Prosthetic limb GPS score was larger than intact limb GPS score as well as step length with the prosthetic leg was longer than with the intact one. Time of single support with the intact limb was longer than that with the prosthetic limb. The largest gait variable scores (GVS) were in the hip flexion/extension for the prosthetic limb, knee flexion/extension for the intact limb, and hip rotation for both. The strongest correlation occurred between overall GPS and prosthetic step length, overall GPS and time of single support with the prosthetic limb, prosthetic limb GPS and prosthetic step length, and between prosthetic limb GPS and time of single support with the prosthetic limb. The GPS, MAP and temporal-spatial parameters were useful in quantifying gait deviation on transtibial amputees. GPS scores were increased and temporal-spatial parameters values were lower than that found in health subjects. © Springer International Publishing Swit zerland 2014.

关键词： Kinematics

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Writing for publication in biomedical engineering

Writing for publication in biomedical engineering

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作者： Linte, Cristian A. University of Western Ontario Biomedical Engineering Graduate Program Robarts Research Institute London ON Canada

No abstract available

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Analysis of combined ultrasound therapy and medium frequency current in abdominal adiposity

Analysis of combined ultrasound therapy and medium frequency...

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13th Mediterranean Conference on Medical and Biological engineering and Computing 2013, MEDICON 2013

作者： Gripp, Paula Alessandra Garcia Stadnik, A.M.W. Bona, A.A. Neves, E.B. UTFPR/Graduate Program in Biomedical Engineering Curitiba Brazil UTFPR/Department of Electrical Engineering and Industrial Informatics Curitiba Brazil

ISBN: (纸本)9783319008455

Brazil is the second country in the world in aesthetic surgical procedures, with 905,000 procedures, being behind only the U.S., according to information corresponding to the year 2011 from the International Society of Aesthetic Plastic Surgery (ISAPS) and the Brazilian Society of Plastic Surgery (BSPS). Given this scenario, we chose to study the adipose cells, which are a organ with intense metabolic and endocrine activity. Accumulated in excess adipocytes causes the disadvantages metabolic and endocrine in the organism, leading to obesity in general and located. This research referred to obesity marked by deposition in the abdominal area, that is denominated central or androide obesity, in the case of a localized adiposity. The objective of the research was to analyze the effects of therapeutic ultrasound and medium frequency current in this particular type of adiposity. The therapeutic protocol consisted of the utilization therapy of therapeutic ultrasound 3 MHz and medium frequency current (1 kHz, with Bursts of 2 ms), performed in ten sessions of 40-minute each. The sample consisted of 16 women, of whom 14 have finalized treatment. The assessment instruments used were: percentage of total body fat by bioimpedance, skinfold measurement in the region where localized adiposity was. We observed the reduction in measures measured in abdominal circumference and percentage decrease in total body fat measured on a digital scale bipolar bioimpedance, as well as the decrease measured by skinfold plicometer in all patients submitted to treatment. The results of submission to the treatment of Combined Therapy can be considered satisfactory, due the record in reducing the parameters analyzed, despite being necessary to a more thorough study on the subject and scientific substantiation in a larger sample. Based on this study has observed a dearth of studies on the subject so that the same password be a non-invasive alternative in the treatment of localized adiposity and derm

关键词： Ultrasonics

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Using machine learning to investigate the influence of the prenatal chemical exposome on neurodevelopment of young children

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NeuroToxicology 2025年 108卷 218-230页

作者： England-Mason, Gillian MacEachern, Sarah J. Amador, Kimberly Soomro, Munawar Hussain Reardon, Anthony J.F. MacDonald, Amy M. Kinniburgh, David W. Letourneau, Nicole Giesbrecht, Gerald F. Martin, Jonathan W. Forkert, Nils D. Dewey, Deborah Department of Pediatrics Cumming School of Medicine University of Calgary Calgary AB Canada Alberta Children's Hospital Research Institute University of Calgary Calgary AB Canada Hotchkiss Brain Institute University of Calgary Calgary AB Canada Department of Psychology Faculty of Arts University of Calgary Calgary AB United States Biomedical Engineering Graduate Program University of Calgary Calgary AB Canada Department of Radiology Cumming School of Medicine University of Calgary Calgary AB Canada Department of Laboratory Medicine and Pathology University of Alberta Edmonton AB Canada Alberta Centre for Toxicology University of Calgary Calgary AB Canada Faculty of Nursing University of Calgary Calgary AB Canada Department of Community Health Sciences Cumming School of Medicine University of Calgary Calgary AB Canada Department of Psychiatry Cumming School of Medicine University of Calgary Calgary AB Canada Science for Life Laboratory Department of Environmental Science Stockholm University Stockholm Sweden Department of Clinical Neurosciences University of Calgary Calgary AB Canada

Research investigating the prenatal chemical exposome and child neurodevelopment has typically focused on a limited number of chemical exposures and controlled for sociodemographic factors and maternal mental health. Emerging machine learning approaches may facilitate more comprehensive examinations of the contributions of chemical exposures, sociodemographic factors, and maternal mental health to child neurodevelopment. A machine learning pipeline that utilized feature selection and ranking was applied to investigate which common prenatal chemical exposures and sociodemographic factors best predict neurodevelopmental outcomes in young children. Data from 406 maternal-child pairs enrolled in the APrON study were used. Maternal concentrations of 32 environmental chemical exposures (i.e., phthalates, bisphenols, per- and polyfluoroalkyl substances (PFAS), metals, trace elements) measured during pregnancy and 11 sociodemographic factors, as well as measures of maternal mental health and urinary creatinine were entered into the machine learning pipeline. The pipeline, which consisted of a RReliefF variable selection algorithm and support vector machine regression model, was used to identify and rank the best subset of variables predictive of cognitive, language, and motor development outcomes on the Bayley Scales of Infant Development-Third Edition (Bayley-III) at 2 years of age. Bayley-III cognitive scores were best predicted using 29 variables, resulting in a correlation coefficient of r = 0.27 (R²=0.07). For language outcomes, 45 variables led to the best result (r = 0.30;R²=0.09), whereas for motor outcomes 33 variables led to the best result (r = 0.28, R²=0.09). Environmental chemicals, sociodemographic factors, and maternal mental health were found to be highly ranked predictors of cognitive, language, and motor development in young children. Our findings demonstrate the potential of machine learning approaches to identify and dete

关键词： APrON Developmental neurotoxicology Epidemiology Infant and child neurotoxicity studies Neurobehavioural Testing

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