Evidence map›Paper›PMID 42182953›Full record

ArticleJournal of the Serbian Society for Computational Mechanics2025

COMPUTATIONAL MODELING OF DRUG TRANSPORT AND PERFUSION WITHIN COMPLEX BIOLOGICAL SYSTEMS AND GROWING TUMORS.

Vladimir Simic, Miljan Milosevic, Bogdan Milicevic, E J Koay, Xuewu Liu, Antonio Martino, Rossana Terracciano, Carly S Filgueira, Milos Kojic

Abstract read
In one paragraph

Article in Journal of the Serbian Society for Computational Mechanics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Vladimir SimicInstitute for Information Technologies, University of Kragujevac, Kragujevac, Serbia.ORCID 0000-0001-7842-8902
Miljan MilosevicInstitute for Information Technologies, University of Kragujevac, Kragujevac, Serbia.ORCID 0000-0003-3789-2404
Bogdan MilicevicInstitute for Information Technologies, University of Kragujevac, Kragujevac, Serbia.ORCID 0000-0002-0315-8263
E J KoayHouston Methodist Research Institute, The Department of Nanomedicine, Houston, USA.ORCID 0000-0001-7675-3461
Xuewu LiuHouston Methodist Research Institute, The Department of Nanomedicine, Houston, USA.ORCID 0000-0002-8702-0295
Antonio MartinoHouston Methodist Research Institute, The Department of Nanomedicine, Houston, USA.ORCID 0009-0008-0719-4668
Rossana TerraccianoHouston Methodist Research Institute, The Department of Nanomedicine, Houston, USA.ORCID 0000-0001-5026-0589
Carly S FilgueiraHouston Methodist Research Institute, The Department of Nanomedicine, Houston, USA.ORCID 0000-0002-3246-303X
Milos KojicInstitute for Information Technologies, University of Kragujevac, Kragujevac, Serbia.ORCID 0000-0003-2199-5847

Funding

Biophysical roles of pre-metastatic niche evolution on transport of circulating tumor cellsU01CA244107 · NCI · METHODIST HOSPITAL RESEARCH INSTITUTE · PI KOJIC, MILOS, LEONARD, FRANSISCA · 2020 to 2024
$2.8M
NCI NIH HHS U01 CA244107
6 · The paper itself

Abstract

Mass transport is a fundamental process in living organisms, responsible for the delivery of oxygen, nutrients, and drugs from blood vessels to tissues, as well as the removal of waste products back to the vascular and lymphatic systems. This exchange occurs across various biological barriers, including blood vessel walls and cellular membranes, and involves complex mechanical and biochemical interactions. Traditional experimental and clinical methods have provided valuable insights into mass transport, but due to the complexity and heterogeneity of biological systems, computational models are essential for deeper understanding. Here, we give a brief review of a smeared modeling concept, termed the Kojic Transport Model (KTM), for gradient-driven physical fields within composite media such as biological tissue. The basic idea of the KTM is the formulation of the composite smeared finite element (CSFE). This element is composed of volumetric domains with different physical fields that are coupled by connectivity elements at each FE node representing biological barriers. The domains include 1D fields represented by 3D continuum form by formulation of the consistent transport tensors The KTM has been implemented in our finite element package PAK and demonstrated to be accurate and robust in modeling. We have selected models of mass transport (diffusion and perfusion) in the liver, pancreas, and tumor which grows over time.

Indexed as

Kojic Transport Model (KTM)livermass transportpancreasperfusion

Identifiers

PMID42182953
PMCPMC13197050

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.