Evidence map›Paper›PMID 36407225›Full record

ReviewCureus2022

Intra-body Networks and Molecular Communication Networks in Diagnostic Sciences.

Prayas P Sarda, Sourya Acharya, Shreyash Huse, Yash Ghulaxe, Jay Chavada

Abstract readReview
In one paragraph

Review in Cureus, 2022. 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. Article
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

5 authors.

Prayas P SardaDepartment of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences (Deemed to be University), Wardha, IND.
Sourya AcharyaDepartment of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences (Deemed to be University), Wardha, IND.
Shreyash HuseDepartment of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences (Deemed to be University), Wardha, IND.
Yash GhulaxeDepartment of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences (Deemed to be University), Wardha, IND.
Jay ChavadaDepartment of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences (Deemed to be University), Wardha, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intra-body transmission networks are proposed to be composed of nanostructured or micro-sized detectors placed within the body to monitor health and distribute drugs. Transplanted biosensors are the potential options for monitoring the body for the detection of particular ailments and determining a diagnosis with the help of a doctor. Biological systems inside the body remain intricately integrated and interact primarily through biochemical interactions. Thus, the continuous communication performance and intra-body molecular nanonetworks coordinate essential functions within the human body. Spontaneous intra-body molecular nanonetworks, on the other hand, have yet to be investigated using sophisticated tools of information and communication concepts. We intend to understand the exquisite molecular networking that exists within us to design and develop pragmatic, effective interaction for evolving nanonetworks and also to lay the groundwork for the progression of groundbreaking diagnosis and therapeutic methodologies inspired by technological tools, which have the potential to be helpful in future nanotechnologies and bioinspired molecular communication (MC) applications.

Indexed as

biosensorsdiagnostic technologyintra-body networksmolecular communicationnanotechnology

Identifiers

PMID36407225
PMCPMC9671267

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.