Evidence map›Paper›PMID 42282287›Full record

ArticleBioinformation2026

Personalized dentistry: Enhancing outcomes through patient-centered innovation.

Aarushi Sharma, Anjali Tuteja, Mili Patel, Huma Tahir, Akash Daddanala, Aditi Pustake

Abstract read
In one paragraph

Article in Bioinformation, 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.

Aarushi SharmaDepartment of Dentistry, Genesis Institute of Dental Sciences and Research, Ferozpur, Punjab, India.
Anjali TutejaDepartment of Dentistry, Genesis Institute of Dental Sciences and Research, Ferozpur, Punjab, India.
Mili PatelDepartment of Dentistry, Goenka Research Institute of Dental Science, Gandhinagar, India.
Huma TahirDepartment of Dentistry, University College of Medicine and Dentistry, Pakistan.
Akash DaddanalaDepartment of Dentistry, Sri Sai College of Dental Surgery, Telangana, India.
Aditi PustakeDepartment of Dentistry, Sharad Pawar Dental College and Hospital, Sawangi (Megha), Wardha, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current dental practice relies on generalized treatment protocols that inadequately address individual genetic, biological and environmental variation, limiting precision in the prevention and management of oral and craniofacial diseases. Intricate interactions among these factors drive disease development, highlighting the need for more individualized approaches. Dentistry is moving toward personalized care through advances in digital technologies, salivary diagnostics and genomics. Therefore, it is of interest to describe the development and reach of personalized dentistry, with a focus on customized prevention and treatment based on genetic, lifestyle and clinical factors. With the use of biomarkers and patient-specific data, conditions such as caries and periodontal disease can be diagnosed earlier and managed more precisely. While these innovations promise better outcomes, challenges remain in ensuring data privacy and affordability.

Indexed as

artificial intelligence (AI)genomicsPersonalized dentistryprecision oral health caresalivary biomarker

Identifiers

PMID42282287
PMCPMC13252268

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.