Evidence map›Paper›PMID 34069606›Full record

ReviewCancers2021

Enhancing Clinical Translation of Cancer Using Nanoinformatics.

Madjid Soltani, Farshad Moradi Kashkooli, Mohammad Souri, Samaneh Zare Harofte, Tina Harati, Atefeh Khadem, Mohammad Haeri Pour, Kaamran Raahemifar

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.7field-weighted citation impact, top 6% of its field
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

30 citing papers in PubMed, 79 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Lessons Learned from Liver-on-Chip Platform.Annals of biomedical engineering · 2025
    Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Review
  16. Harnessing nanotechnology for cancer treatment.Frontiers in bioengineering and biotechnology · 2024
    Review
  17. Metal-based nanoparticle in cancer treatment: lessons learned and challenges.Frontiers in bioengineering and biotechnology · 2024
    Review
  18. Review
  19. Article
  20. Nanomedicine: New Frontiers in Fighting Microbial Infections.Nanomaterials (Basel, Switzerland) · 2023
    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

8 authors at 3 institutions in 3 countries.

Madjid SoltaniDepartment of Mechanical Engineering, K. N. Toosi University of Technology, Tehran 19967-15433, Iran.
Farshad Moradi KashkooliDepartment of Mechanical Engineering, K. N. Toosi University of Technology, Tehran 19967-15433, Iran.ORCID 0000-0003-4338-8538
Mohammad SouriDepartment of Mechanical Engineering, K. N. Toosi University of Technology, Tehran 19967-15433, Iran.ORCID 0000-0001-9509-1336
Samaneh Zare HarofteDepartment of Mechanical Engineering, K. N. Toosi University of Technology, Tehran 19967-15433, Iran.
Tina HaratiDepartment of Mechanical Engineering, K. N. Toosi University of Technology, Tehran 19967-15433, Iran.
Atefeh KhademDepartment of Mechanical Engineering, K. N. Toosi University of Technology, Tehran 19967-15433, Iran.
Mohammad Haeri PourDepartment of Mechanical Engineering, K. N. Toosi University of Technology, Tehran 19967-15433, Iran.
Kaamran RaahemifarFaculty of Science, School of Optometry and Vision Science, University of Waterloo, Waterloo, ON N2L 3G1, Canada.
K.N.Toosi University of Technology · IRPennsylvania State University · USUniversity of Waterloo · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Application of drugs in high doses has been required due to the limitations of no specificity, short circulation half-lives, as well as low bioavailability and solubility. Higher toxicity is the result of high dosage administration of drug molecules that increase the side effects of the drugs. Recently, nanomedicine, that is the utilization of nanotechnology in healthcare with clinical applications, has made many advancements in the areas of cancer diagnosis and therapy. To overcome the challenge of patient-specificity as well as time- and dose-dependency of drug administration, artificial intelligence (AI) can be significantly beneficial for optimization of nanomedicine and combinatorial nanotherapy. AI has become a tool for researchers to manage complicated and big data, ranging from achieving complementary results to routine statistical analyses. AI enhances the prediction precision of treatment impact in cancer patients and specify estimation outcomes. Application of AI in nanotechnology leads to a new field of study,

Indexed as

artificial intelligencecancerclinical translationdeep learningdrug deliverymachine learningnanoinformaticsnanomedicine

Identifiers

PMID34069606
PMCPMC8161319
OpenAlexW3163566284

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.