Evidence map›Paper›PMID 34108005›Full record

ArticleCell & bioscience2021

Artificial intelligence and guidance of medicine in the bubble.

Asma Akbar, Nagavalli Pillalamarri, Sriya Jonnakuti, Mujib Ullah

Abstract read
In one paragraph

Article in Cell & bioscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Role of CD9 Sensing, AI, and Exosomes in Cellular Communication of Cancer.International journal of stem cell research and therapy · 2023
    Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. SAR-CoV-2 infection, emerging new variants and the role of activation induced cytidine deaminase (AID) in lasting immunity.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2021
    Article
  12. Review
  13. Engineered Extracellular Vesicles in Arthritic Diseases: Therapeutic Applications & Challenges.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology
    Review
  14. 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

4 authors.

Asma AkbarInstitute for Immunity and Transplantation, Stem Cell Biology and Regenerative Medicine, School of Medicine, Stanford University, Palo Alto, CA, 94304, USA.
Nagavalli PillalamarriInstitute for Immunity and Transplantation, Stem Cell Biology and Regenerative Medicine, School of Medicine, Stanford University, Palo Alto, CA, 94304, USA.
Sriya JonnakutiInstitute for Immunity and Transplantation, Stem Cell Biology and Regenerative Medicine, School of Medicine, Stanford University, Palo Alto, CA, 94304, USA.
Mujib UllahInstitute for Immunity and Transplantation, Stem Cell Biology and Regenerative Medicine, School of Medicine, Stanford University, Palo Alto, CA, 94304, USA. ullah@stanford.edu.ORCID http://orcid.org/0000-0003-0168-8700

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbubbles are nanosized gas-filled bubbles. They are used in clinical diagnostics, in medical imaging, as contrast agents in ultrasound imaging, and as transporters for targeted drug delivery. They can also be used to treat thrombosis, neoplastic diseases, open arteries and vascular plaques and for localized transport of chemotherapies in cancer patients. Microbubbles can be filled with any type of therapeutics, cure agents, growth factors, extracellular vesicles, exosomes, miRNAs, and drugs. Microbubbles protect their cargo from immune attack because of their specialized encapsulated shell composed of lipid and protein. Filled with curative medicine, they could effectively circulate through the whole body safely and efficiently to reach the target area. The advanced bubble-based drug-delivery system, integrated with artificial intelligence for guidance, holds great promise for the targeted delivery of drugs and medicines.

Indexed as

Artificial intelligenceDrug transportationMicrobubblesNano-vesiclesTargeted therapies

Identifiers

PMID34108005
PMCPMC8191053

What OpenQuestion holds

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LicenceCC BY
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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.