Evidence map›Paper›PMID 42730348›Full record

ReviewACS nano medicine2026

Micro/Nanorobots (MNRs) at the Intersection of Mechanobiology and Artificial Intelligence: An Emerging Frontier for Precision Nanomedicine.

Tahniat Afsari, Jamile Harmouch, Rahul Sharma, Ruisheng Liu, Subhra Mohapatra, Shyam S Mohapatra

Abstract readReview
In one paragraph

Review in ACS nano medicine, 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

6 authors.

Tahniat AfsariDepartment of Internal Medicine and Laboratory for Translational Nanotechnology, Morsani College of Medicine, Tampa, Florida 33612, United States.
Jamile HarmouchDepartment of Internal Medicine and Laboratory for Translational Nanotechnology, Morsani College of Medicine, Tampa, Florida 33612, United States.
Rahul SharmaDivision of Nephrology, Center for Immunity Inflammation and Regenerative Medicine, University of Virginia School of Medicine, Charlottesville, Virginia 22903 United States.
Ruisheng LiuDepartment of Molecular Pharmacology and Physiology, Morsani College of Medicine, Tampa, Florida 33612, United States.
Subhra MohapatraDepartment of Molecular Medicine, Morsani College of Medicine, Tampa, Florida 33612, United States.
Shyam S MohapatraDepartment of Internal Medicine and Laboratory for Translational Nanotechnology, Morsani College of Medicine, Tampa, Florida 33612, United States.ORCID https://orcid.org/0000-0001-5838-0681

Funding

Molecular Targets Modulating Neuro COVID Sequelae Linked to TauopathyR01AG086245 · NIA · UNIVERSITY OF SOUTH FLORIDA · PI PAULA C BICKFORD, SUBHRA MOHAPATRA · 2024 to 2026
$2.2M
Treatment of lupus nephritis with nanoparticles that selectively target kidney glomeruliR01DK134000 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI RUISHENG LIU, Shyam S Mohapatra · 2023 to 2026
$1.9M
BLRD VA I01 BX005757BLRD VA I01 BX006456BLRD VA IK6 BX004212BLRD VA IK6 BX006032NIA NIH HHS R01 AG086245NIDDK NIH HHS R01 DK134000
6 · The paper itself

Abstract

Micro/nanorobots (MNRs) are emerging as active precision-nanomedicine platforms that convert physical energy into propulsion and localized cellular or tissue mechanotransduction. Yet, the ways in which MNR-mediated forces and flows reprogram cell behavior, activate mechanotransduction pathways, or drive tissue remodeling remain poorly understood. Unlike passive nanocarriers that rely on diffusion and vascular permeability, MNRs enable directional transport, barrier penetration, and spatiotemporal control. Beyond locomotion, propulsion-induced stresses act as mechanical cues that engage cellular mechanosensing pathways, including membrane-tension regulation, ion-channel activation, cytoskeletal remodeling, and downstream intracellular transcriptional signaling. Here, we review MNRs as mechanobiology-driven systems in which propulsion physics is intentionally coupled to force-sensitive biological responses. Rather than categorizing MNRs solely by actuation modality, we propose force-to-function coupling as a unifying design principle linking propulsion dynamics to defined mechanotransduction outcomes at the nano-bio interface. We further discuss how artificial intelligence (AI) introduces predictive modeling, imaging-guided feedback, and closed-loop optimization to achieve programmable biological outputs under physiological uncertainty. This review establishes a framework for biology-aware and intelligent MNRs by integrating propulsion engineering, mechanobiology, and computational control, and highlights key translational challenges that must be addressed to realize precision nanomedicine.

Indexed as

Artificial intelligenceBiohybrid MNRsMechanobiologyMicrobotsMicronanorobots (MNRs)NanobotsSynthetic MNRsTargeted delivery and Glomerular targeting

Identifiers

PMID42730348
PMCPMC13564963

What Socratic holds

Textmetadata
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.