Evidence map›Paper›PMID 40657536›Full record

ArticleComputers & chemical engineering2025

Machine learning enabled multiscale model for nanoparticle margination and physiology based pharmacokinetics.

Sahil Kulkarni, Benjamin Lin, Ravi Radhakrishnan

Abstract read
In one paragraph

Article in Computers & chemical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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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

3 authors.

Sahil KulkarniUniversity of Pennsylvania, Chemical and Biomolecular Engineering, Philadelphia, 19104, PA, USA.
Benjamin LinUniversity of Pennsylvania, Department of Biology, Philadelphia, 19104, PA, USA.
Ravi RadhakrishnanUniversity of Pennsylvania, Chemical and Biomolecular Engineering, Philadelphia, 19104, PA, USA.ORCID 0000-0003-0686-2851

Funding

Pathological consequences of altered tissue mechanics in fibrosisR01EB017753 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI JANMEY, PAUL A, SHENOY, VIVEK · 2014 to 2025
$6.3M
A physical sciences approach to investigate the role of exosomes in metastatic progressionU01CA250044 · NCI · UNIVERSITY OF PENNSYLVANIA · PI GUO, WEI, RADHAKRISHNAN, RAVI · 2021 to 2025
$3.9M
Regulation of cell, tissue, and nucleus function by mechanical properties of biopolymer networksR35GM136259 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI Paul A Janmey · 2020 to 2026
$3.2M
NCI NIH HHS U01 CA250044NIBIB NIH HHS R01 EB017753NIGMS NIH HHS R35 GM136259
6 · The paper itself

Abstract

This study presents a multiscale modeling framework for simulating and predicting the behavior and biodistribution of nanoparticles (

Indexed as

DeepONetFokker–PlanckHematocritMarginationNanoparticlesPBPK

Identifiers

PMID40657536
PMCPMC12245191

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.