Evidence map›Paper›PMID 41888350›Full record

ArticleScientific reports2026

Advanced simulation and numerical evaluation of pharmaceutical solubility estimation under supercritical processing using artificial intelligence computations.

Ahmed H Albariqi, Rami M Alzhrani, Majed A Alghamdi, Sameer Alshehri, Humood Al Shmrany, Mohammad J Akbar

Abstract read
In one paragraph

Article in Scientific reports, 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
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0citing papers in PubMed
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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.

Ahmed H AlbariqiDepartment of Pharmaceutics, College of Pharmacy, Jazan University, Jazan, 45142, Saudi Arabia.
Rami M AlzhraniDepartment of Pharmaceutics and Industrial Pharmacy, College of Pharmacy, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia.
Majed A AlghamdiDepartment of Pharmaceutics, Faculty of Pharmacy, King Abdulaziz University, Jeddah, 21589, Saudi Arabia.
Sameer AlshehriDepartment of Pharmaceutics and Industrial Pharmacy, College of Pharmacy, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia. s.alshehri@tu.edu.sa.
Humood Al ShmranyDepartment of Medical Laboratory, College of Applied medical sciences, Prince Sattam bin Abdulaziz University, Alkharj, 11942, Saudi Arabia.
Mohammad J AkbarDepartment of Pharmaceutics, College of Clinical Pharmacy, Imam Abdulrahman Bin Faisal University, Dammam, 34212, Saudi Arabia.

Funding

Jazan University JU- 202503216 -DGSSR- RP -2025
6 · The paper itself

Abstract

Poor aqueous solubility of medicines has been a subject of great interest for improvement of pharmaceutical industry. Computational analysis of solubility data is of great importance for evaluation of supercritical processing which can be used to enhance drugs solubility. A computational method for estimating the solubility of pharmaceuticals in supercritical carbon dioxide (SC-CO

Indexed as

Artificial IntelligenceAlgorithmsCarbon DioxideComputer SimulationConvolutional Neural NetworksMachine LearningMultilayer PerceptronsPharmaceutical PreparationsPrediction AlgorithmsPredictive Learning ModelsSoft ComputingSolubilitySolventsCarbon DioxidePharmaceutical PreparationsSolventsComputational analysisDrug solubilityMachine learning modelProcess modelingSupercritical processing

Identifiers

PMID41888350
PMCPMC13171902

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.