Evidence map›Paper›PMID 39328130›Full record

ReviewPharmaceutical nanotechnology2025

A Significant Prospective on Nanorobotics in Precision Medicine and Therapeutic Interventions.

Sakshi Soni, Arpana Purohit, Priyanshu Nema, Rashmi Rawal, Ajay Kumar, Vandana Soni, Sushil K Kashaw

Abstract readReview
PubMed Publisher
In one paragraph

Review in Pharmaceutical nanotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

7 authors.

Sakshi SoniDepartment of Pharmaceutical Sciences, Dr. Harisingh Gour University (A Central University), Sagar (MP), India.
Arpana PurohitDepartment of Pharmaceutical Sciences, Dr. Harisingh Gour University (A Central University), Sagar (MP), India.
Priyanshu NemaDepartment of Pharmaceutical Sciences, Dr. Harisingh Gour University (A Central University), Sagar (MP), India.
Rashmi RawalDepartment of Pharmaceutical Sciences, Dr. Harisingh Gour University (A Central University), Sagar (MP), India.
Ajay KumarSchool of Pharmaceutical Sciences, C.S.J.M. University, Kanpur-U.P., India.
Vandana SoniDepartment of Pharmaceutical Sciences, Dr. Harisingh Gour University (A Central University), Sagar (MP), India.
Sushil K KashawDepartment of Pharmaceutical Sciences, Dr. Harisingh Gour University (A Central University), Sagar (MP), India.

Funding

University Grants Commission (UGC) Y20454003
6 · The paper itself

Abstract

Nanorobotics, situated at the intersection of nanotechnology and robotics, holds the potential for revolutionary impact on precision medicine and medical interventions. This review explores the design, navigation, drug delivery, and applications of nanorobots. Architectural intricacies, sensor integration, and navigation strategies, both active and passive, are discussed. Nanorobots are poised to play a pivotal role in controlled drug delivery and personalized medicine, including disease-specific targeting. Their applications span across various domains, including cancer therapy, neurological interventions, and emerging fields. Despite the promises, challenges such as technological hurdles, regulatory considerations, and safety concerns are also acknowledged. The review anticipates a transformative impact on healthcare, offering a comprehensive guide for researchers, clinicians, and policymakers navigating the evolving landscape of nanorobotics.

Indexed as

Drug Delivery SystemsNanomedicineNanotechnologyPrecision MedicineRoboticsHumanscancer therapycontrolled drug deliverydrug deliveryNanorobotsneurological disordersrobotics.

Identifiers

PMID39328130

What OpenQuestion 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 OpenQuestion graph.