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  1. Article ; Online: The Evolving Landscape of Pharmaceutical Regulation: Striking a Balance between Innovation and Safety.

    Mukherjee, Debanjan / Raikwar, Sarjana

    Current drug discovery technologies

    2024  

    Language English
    Publishing date 2024-01-10
    Publishing country United Arab Emirates
    Document type Editorial
    ISSN 1875-6220
    ISSN (online) 1875-6220
    DOI 10.2174/0115701638287851240102110705
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Special Issue: Education in Biomechanics and Bioengineering Ever Evolving, Ever Learning.

    Mukherjee, Debanjan / Lai, Victor

    Journal of biomechanical engineering

    2024  Volume 146, Issue 5

    MeSH term(s) Biomechanical Phenomena ; Bioengineering ; Biomedical Engineering ; Learning
    Language English
    Publishing date 2024-03-01
    Publishing country United States
    Document type Journal Article
    ZDB-ID 243094-0
    ISSN 1528-8951 ; 0148-0731
    ISSN (online) 1528-8951
    ISSN 0148-0731
    DOI 10.1115/1.4064987
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 2672: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  3. Article ; Online: Litchi: Reason for the Outbreak of Acute Encephalitis Syndrome in Bihar.

    Kamal, Raj / Mukherjee, Debanjan / Khurana, Divya / Singh, Amandeep

    Infectious disorders drug targets

    2024  

    Language English
    Publishing date 2024-01-17
    Publishing country United Arab Emirates
    Document type Journal Article
    ZDB-ID 2234298-9
    ISSN 2212-3989 ; 1871-5265
    ISSN (online) 2212-3989
    ISSN 1871-5265
    DOI 10.2174/0118715265276324231222113406
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5598: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  4. Article ; Online: Developing Effective Screencast Modules for Teaching Computational Techniques in Remote Modalities.

    Mukherjee, Debanjan

    Biomedical engineering education

    2021  Volume 1, Issue 2, Page(s) 307–311

    Abstract: Here we describe a systematic approach towards creating effective screencast based modules for teaching computational techniques in remote and online modalities. We adopted a multi-stage approach to create screencast videos that replaced in-person demos ... ...

    Abstract Here we describe a systematic approach towards creating effective screencast based modules for teaching computational techniques in remote and online modalities. We adopted a multi-stage approach to create screencast videos that replaced in-person demos and active learning content in a finite element analysis based class. The stages include systematic preparation of video data and script; production stage, for recording and editing of captured video and audio; and post-production stage, for uploading generated media files into our learning management system. Modules were paired with assignments, thereby enhancing student learning and enabling assessment of module content efficacy. Our approach and technology received highly positive reception from students. Students also successfully navigated all associated assignments and final course project, which builds upon the content addressed in the modules. We identified several avenues for improvement in continued future offerings of such modules. We have outlined our design experience and student reception of screencast based modules for creating engaging learning content in remote teaching modalities. The description has been presented in form of teaching tips for other educators to adopt for their teaching needs.
    Language English
    Publishing date 2021-01-04
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 3040682-1
    ISSN 2730-5945 ; 2730-5937
    ISSN (online) 2730-5945
    ISSN 2730-5937
    DOI 10.1007/s43683-020-00044-7
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  5. Article ; Online: An Outbreak of Eye Flu Virus in India.

    Kamal, Raj / Mukherjee, Debanjan / Singh, Amandeep

    Current drug targets

    2023  Volume 24, Issue 17, Page(s) 1293–1297

    MeSH term(s) Humans ; Influenza, Human/epidemiology ; Disease Outbreaks ; India/epidemiology
    Language English
    Publishing date 2023-12-05
    Publishing country United Arab Emirates
    Document type Journal Article
    ZDB-ID 2064859-5
    ISSN 1873-5592 ; 1389-4501
    ISSN (online) 1873-5592
    ISSN 1389-4501
    DOI 10.2174/0113894501275247231129112022
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5578: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  6. Article ; Online: The BIORES-21 Survey: Insights Into Remote and Online Education in Biomechanics and Mechanobiology.

    Mukherjee, Debanjan / Lai, Victor / Huang, Zhongping / Singh, Anita

    Journal of biomechanical engineering

    2024  Volume 146, Issue 5

    Abstract: The COVID-19 pandemic necessitated mainstream adoption of online and remote learning approaches, which were highly advantageous yet challenging in many ways. The online modality, while teaching biomedical engineering-related topics in the areas of ... ...

    Abstract The COVID-19 pandemic necessitated mainstream adoption of online and remote learning approaches, which were highly advantageous yet challenging in many ways. The online modality, while teaching biomedical engineering-related topics in the areas of biomechanics, mechanobiology, and biomedical sciences, further added to the complexity faced by the faculty and students. Both the benefits and the challenges have not been explored systematically by juxtaposing experiences and reflections of both the faculty and students. Motivated by this need, we designed and conducted a systematic survey named BIORES-21, targeted toward the broader bio-engineering community. Survey responses and our inferences from survey findings cumulatively offer insight into the role of employed teaching/learning technology and challenges associated with student engagement. Survey data also provided insights on what worked and what did not, potential avenues to address some underlying challenges, and key beneficial aspects such as integration of technology and their role in improving remote teaching/learning experiences. Overall, the data presented summarize the key benefits and challenges of online learning that emerged from the experiences during the pandemic, which is valuable for the continuation of online learning techniques as in-person education operations resumed broadly across institutions, and some form of online learning seems likely to sustain and grow in the near future.
    MeSH term(s) Humans ; Education, Distance ; Biomechanical Phenomena ; Pandemics ; Biophysics ; Learning
    Language English
    Publishing date 2024-02-20
    Publishing country United States
    Document type Journal Article
    ZDB-ID 243094-0
    ISSN 1528-8951 ; 0148-0731
    ISSN (online) 1528-8951
    ISSN 0148-0731
    DOI 10.1115/1.4064792
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 2672: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
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  7. Article: A mesoscale agent based modeling framework for flow-mediated infection transmission in indoor occupied spaces.

    Mukherjee, Debanjan / Wadhwa, Gauri

    Computer methods in applied mechanics and engineering

    2022  Volume 401, Page(s) 115485

    Abstract: The ongoing Covid-19 pandemic, and its associated public health and socioeconomic burden, has reaffirmed the necessity for a comprehensive understanding of flow-mediated infection transmission in occupied indoor spaces. This is an inherently multiscale ... ...

    Abstract The ongoing Covid-19 pandemic, and its associated public health and socioeconomic burden, has reaffirmed the necessity for a comprehensive understanding of flow-mediated infection transmission in occupied indoor spaces. This is an inherently multiscale problem, and suitable investigation approaches that can enable evidence-based decision-making for infection control strategies, interventions, and policies; will need to account for flow physics, and occupant behavior. Here, we present a mesoscale infection transmission model for human occupied indoor spaces, by integrating an agent-based human interaction model with a flow physics model for respiratory droplet dynamics and transport. We outline the mathematical and algorithmic details of the modeling framework, and demonstrate its validity using two simple simulation scenarios that verify each of the major sub-models. We then present a detailed case-study of infection transmission in a model indoor space with 60 human occupants; using a systematic set of simulations representing various flow scenarios. Data from the simulations illustrate the utility and efficacy of the devised mesoscale model in resolving flow-mediated infection transmission; and elucidate key trends in infection transmission dynamics amongst the human occupants.
    Language English
    Publishing date 2022-08-19
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1501322-4
    ISSN 0045-7825
    ISSN 0045-7825
    DOI 10.1016/j.cma.2022.115485
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Investigating clot-flow interactions by integrating intravital imaging with in silico modeling for analysis of flow, transport, and hemodynamic forces.

    Teeraratkul, Chayut / Tomaiuolo, Maurizio / Stalker, Timothy J / Mukherjee, Debanjan

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 696

    Abstract: As a blood clot forms, grows, deforms, and embolizes following a vascular injury, local clot-flow interactions lead to a highly dynamic flow environment. The local flow influences transport of biochemical species relevant for clotting, and determines the ...

    Abstract As a blood clot forms, grows, deforms, and embolizes following a vascular injury, local clot-flow interactions lead to a highly dynamic flow environment. The local flow influences transport of biochemical species relevant for clotting, and determines the forces on the clot that in turn lead to clot deformation and embolization. Despite this central role, quantitative characterization of this dynamic clot-flow interaction and flow environment in the clot neighborhood remains a major challenge. Here, we propose an approach that integrates dynamic intravital imaging with computer geometric modeling and computational flow and transport modeling to develop a unified in silico framework to quantify the dynamic clot-flow interactions. We outline the development of the methodology referred to as Intravital Integrated In Silico Modeling or IVISim, and then demonstrate the method on a sample set of simulations comprising clot formation following laser injury in two mouse cremaster arteriole injury model data: one wild-type mouse case, and one diYF knockout mouse case. Simulation predictions are verified against experimental observations of transport of caged fluorescent Albumin (cAlb) in both models. Through these simulations, we illustrate how the IVISim methodology can provide insights into hemostatic processes, the role of flow and clot-flow interactions, and enable further investigations comparing and contrasting different biological model scenarios and parameter variations.
    MeSH term(s) Animals ; Mice ; Thrombosis ; Computer Simulation ; Clotrimazole ; Disease Models, Animal ; Hemodynamics ; Mice, Knockout ; Intravital Microscopy
    Chemical Substances Clotrimazole (G07GZ97H65)
    Language English
    Publishing date 2024-01-06
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-49945-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Computational Fluid Dynamic Assessment of Patients with Congenital Heart Disease from 3D Rotational Angiography.

    Zablah, Jenny E / Shorofsky, Michael J / Cao, Kelly / Mukherjee, Debanjan

    Pediatric cardiology

    2024  

    Abstract: For congenital heart disease patients, multiple imaging modalities are needed to discern anatomy and functional information such as differential blood flow. During cardiac catheterization, 3D rotational angiography (3DRA) can provide CTA-like images, ... ...

    Abstract For congenital heart disease patients, multiple imaging modalities are needed to discern anatomy and functional information such as differential blood flow. During cardiac catheterization, 3D rotational angiography (3DRA) can provide CTA-like images, enabling anatomical information and intraprocedural guidance. We seek to establish whether unique aspects of this technique can also generate quantitative functional blood flow information. We propose that systematic integration of 3DRA imaging, catheter hemodynamic information, and computational fluid dynamics (CFD), can provide quantitative information regarding blood flow dynamics and energetics, without additional imaging or procedures. We report a single center retrospective feasibility study comprising four patients with 3DRA imaging and a complete set of hemodynamic data. 3DRA was processed and segmented to reconstruct vascular regions of interest (ROI), and a computational grid for CFD modeling of blood flow through the ROI was generated. Blood flow was simulated by integrating catheter hemodynamic data to devise boundary conditions at vascular ROI inlets and outlets. The 3DRA-based workflow successfully generated key computational outputs commonly used for cardiovascular applications, including flow patterns, distribution fractions, wall shear stress. Computational outputs obtained were as detailed and resolved as those obtained from more commonly used CT or MR angiography. Accuracy was confirmed by comparing computed flow distributions with measurements for 2 cases, showing less than 2.0% error from the measured data. Systematic integration of catheter hemodynamic information, 3DRA imaging, and CFD modeling, provides an effective and feasible alternative to obtain important quantitative blood flow information and visualization, without additional imaging.
    Language English
    Publishing date 2024-03-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 800857-7
    ISSN 1432-1971 ; 0172-0643
    ISSN (online) 1432-1971
    ISSN 0172-0643
    DOI 10.1007/s00246-024-03443-7
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    Zs.A 1528: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    ab Jg. 2022: Lesesaal (EG)

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  10. Article ; Online: Investigating clot-flow interactions by integrating intravital imaging with in silico modeling for analysis of flow, transport, and hemodynamic forces

    Chayut Teeraratkul / Maurizio Tomaiuolo / Timothy J. Stalker / Debanjan Mukherjee

    Scientific Reports, Vol 14, Iss 1, Pp 1-

    2024  Volume 14

    Abstract: Abstract As a blood clot forms, grows, deforms, and embolizes following a vascular injury, local clot-flow interactions lead to a highly dynamic flow environment. The local flow influences transport of biochemical species relevant for clotting, and ... ...

    Abstract Abstract As a blood clot forms, grows, deforms, and embolizes following a vascular injury, local clot-flow interactions lead to a highly dynamic flow environment. The local flow influences transport of biochemical species relevant for clotting, and determines the forces on the clot that in turn lead to clot deformation and embolization. Despite this central role, quantitative characterization of this dynamic clot-flow interaction and flow environment in the clot neighborhood remains a major challenge. Here, we propose an approach that integrates dynamic intravital imaging with computer geometric modeling and computational flow and transport modeling to develop a unified in silico framework to quantify the dynamic clot-flow interactions. We outline the development of the methodology referred to as Intravital Integrated In Silico Modeling or IVISim, and then demonstrate the method on a sample set of simulations comprising clot formation following laser injury in two mouse cremaster arteriole injury model data: one wild-type mouse case, and one diYF knockout mouse case. Simulation predictions are verified against experimental observations of transport of caged fluorescent Albumin (cAlb) in both models. Through these simulations, we illustrate how the IVISim methodology can provide insights into hemostatic processes, the role of flow and clot-flow interactions, and enable further investigations comparing and contrasting different biological model scenarios and parameter variations.
    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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