Evidence map›Paper›PMID 41544240›Full record

ArticleJournal of chemical information and modeling2026

G.AI.A: An Integrated Machine-Learning Platform for Predicting Bioaccumulation and Ecotoxicity of Pharmaceuticals.

Evangelos Tsoukas, Michail Papadourakis, Eleni Chontzopoulou, Spyridon Vythoulkas, Christos Didachos, Dionisis Cavouras, Panagiotis Zoumpoulakis, Minos-Timotheos Matsoukas

Abstract read
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In one paragraph

Article in Journal of chemical information and modeling, 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

8 authors.

Evangelos TsoukasCloudpharm PC, Athens 15125, Greece.
Michail PapadourakisCloudpharm PC, Athens 15125, Greece.
Eleni ChontzopoulouCloudpharm PC, Athens 15125, Greece.
Spyridon VythoulkasCloudpharm PC, Athens 15125, Greece.
Christos DidachosCloudpharm PC, Athens 15125, Greece.
Dionisis CavourasDepartment of Biomedical Engineering, University of West Attica, Egaleo 12243, Greece.
Panagiotis ZoumpoulakisCloudpharm PC, Athens 15125, Greece.
Minos-Timotheos MatsoukasCloudpharm PC, Athens 15125, Greece.ORCID 0000-0002-4642-8163

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmaceutical pollution in aquatic environments poses a significant ecological threat due to the accumulation of bioactive compounds from human and veterinary sources. In support of the EU Green Deal's Chemicals Strategy for Sustainability, this study presents a computational framework for predicting two key environmental risk indicators in fish: bioconcentration and ecotoxicity. Bioconcentration, quantified by the bioconcentration factor (BCF), reflects a chemical's tendency to accumulate in organisms, while ecotoxicity is assessed via the median lethal concentration (LC

Indexed as

BioaccumulationEcotoxicologyMachine LearningWater Pollutants, ChemicalAnimalsFishesPharmaceutical PreparationsPredictive Learning ModelsPharmaceutical PreparationsWater Pollutants, Chemical

Identifiers

PMID41544240
PMCPMC12892312

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.