Evidence map›Paper›PMID 41768415›Full record

ArticleBiology methods & protocols2026

Enhanced formulation of precision probiotics through active machine learning.

Anweshit Panda, Manaswani Adhikari, Sourya Subhra Nasker, Anish K Nayak, Debashish Das, Saroj K Nayak, Sita K Dash, Sasmita Nayak

Erratum issuedAbstract read
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In one paragraph

Article in Biology methods & protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

8 authors.

Anweshit PandaSchool of Computer Engineering, Kalinga Institute of Industrial Technology Deemed to be University (KIIT-DU), Bhubaneswar, 751024, India.
Manaswani AdhikariSchool of Biotechnology, Kalinga Institute of Industrial Technology Deemed to be University (KIIT-DU), Bhubaneswar, 751024, India.
Sourya Subhra NaskerSchool of Biotechnology, Kalinga Institute of Industrial Technology Deemed to be University (KIIT-DU), Bhubaneswar, 751024, India.
Anish K NayakInstitute of Chemical Technology Mumbai, Indian Oil Odisha Campus, Bhubaneswar, 751013, India.
Debashish DasSchool of Basic Sciences, Indian Institute of Technology Bhubaneswar, Khordha, 752050, India.
Saroj K NayakSchool of Basic Sciences, Indian Institute of Technology Bhubaneswar, Khordha, 752050, India.
Sita K DashDD Innovations Incorporated, Minneapolis, MN 55435, United States.
Sasmita NayakSchool of Biotechnology, Kalinga Institute of Industrial Technology Deemed to be University (KIIT-DU), Bhubaneswar, 751024, India.ORCID https://orcid.org/0000-0002-8663-5802

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human gut microbiome is crucial to health, with dysbiosis increasingly linked to disease. Precision probiotics offer a promising approach to restoring microbial balance, but ensuring probiotic viability through gastrointestinal transit remains a challenge. This study applies an advanced active machine learning (ML) approach to predict how excipients affect the growth of

Indexed as

active machine learninggradient boostinggrowth predictionLactobacillus plantarumpharmaceutical excipientsprecision probioticssupport vector machines

Identifiers

PMID41768415
PMCPMC12944828

What OpenQuestion holds

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Registered trials

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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.