Evidence map›Paper›PMID 39261440›Full record

ReviewAdvances in experimental medicine and biology2024

Navigating the Intersection of Technology and Depression Precision Medicine.

M Burcu Irmak-Yazicioglu, Ayla Arslan

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in experimental medicine and biology, 2024. 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

2 authors.

M Burcu Irmak-YaziciogluDepartment of Molecular Biology and Genetics, İstanbul Atlas University, İstanbul, Türkiye.
Ayla ArslanDepartment of Molecular Biology and Genetics, Üsküdar University, İstanbul, Türkiye. ayla.arslan@uskudar.edu.tr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This chapter primarily focuses on the progress in depression precision medicine with specific emphasis on the integrative approaches that include artificial intelligence and other data, tools, and technologies. After the description of the concept of precision medicine and a comparative introduction to depression precision medicine with cancer and epilepsy, new avenues of depression precision medicine derived from integrated artificial intelligence and other sources will be presented. Additionally, less advanced areas, such as comorbidity between depression and cancer, will be examined.

Indexed as

Artificial IntelligenceDepressionNeoplasmsPrecision MedicineComorbidityEpilepsyHumansArtificial intelligenceBiomarkerDepressionDigital phenotypeOmicsOrganoidPersonalized medicinePharmacogenomicsPrecision medicine

Identifiers

PMID39261440

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.