Evidence map›Paper›PMID 42319368›Full record

ReviewCurrent opinion in hematology2026

From biomimicry to clinical actionability: rethinking high-shear thrombosis as a mechanobiological system.

Marcus Vinicius Batista da Silva, Christopher A Bresette, Viviana Clavería

Abstract readReview
In one paragraph

Review in Current opinion in hematology, 2026. 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

3 authors.

Marcus Vinicius Batista da SilvaInstitute of Solid-State Physics, University of Latvia, Micro and Nanodevices Laboratory, Latvia.
Christopher A BresetteDepartment of Biomedical Engineering, Georgia Institute of Technology, USA.
Viviana ClaveríaInstitute of Solid-State Physics, University of Latvia, Micro and Nanodevices Laboratory, Latvia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewArterial thrombosis remains a leading cause of morbidity and mortality worldwide, while its mechanistic understanding and clinical management remain limited. In this review, we discuss how recent advances in microfluidic thrombosis models, mechanobiology, and microrobotic technologies may enable the development of clinically actionable and personalized thrombosis platforms. RECENT

findingsRecent findings demonstrate that arterial thrombus formation is strongly regulated by dynamic shear stress, platelet-rich aggregation, and von Willebrand factor (vWF)-mediated interactions. Emerging evidence further shows that shear-induced platelet aggregates, also known as SIPA clots, can form mechanically robust thrombi independently of classical coagulation pathways, highlighting thrombosis as a highly mechanosensitive process. Although microfluidic and flow-based systems have improved the physiological modeling of thrombosis, current platforms still face major limitations in capturing multidimensional shear dynamics, mechanobiological complexity, and patient-specific variability. SUMMARY: Recent progress in vessel-on-a-chip technologies, computational modeling, artificial intelligence, and microrobotic systems suggests a pathway toward integrated and feedback-driven thrombosis management. These approaches may enable not only the measurement and prediction of thrombotic behavior but also its active modulation through targeted interventions. Collectively, this perspective supports a transition from static thrombosis assays toward dynamic and controllable mechanobiological platforms for precision cardiovascular medicine.

Indexed as

BiomimeticsThrombosisAnimalsHumansMicrofluidicsPlatelet AggregationStress, Mechanicalarterial thrombosisartificial intelligencemechanobiologymicrofluidicsmicrorobotics

Identifiers

PMID42319368
PMCPMC13566384

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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.