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VisionSeek Research

Independent, open, reproducible research on the critical questions of the Gulf and the Arab world.

We take questions that bear on the region's medicine, technology and health security. Each paper is published with its data, its code and a persistent DOI, so any reader can inspect the work and reproduce it.

3

Published papers with DOI

CC BY 4.0

Open data with every paper

10.5281/zenodo.23421989

Protocol published before execution

Research

What distinguishes our research

Self-funded research. No commercial or government sponsor sets the questions or the findings.
  • 01

    Questions the literature has not measured

    We choose questions that bear on the region's medicine, technology and health security, and we check first that the literature has not answered them. In our literature review we did not find a comparison of supplier concentration at the finished-product level with concentration at the API level for the same essential medicines across all six GCC states, nor a per-country quantitative indicator of data-centre component supplier concentration. Arabic health benchmarks rarely use Gulf dialects alongside Modern Standard Arabic or involve pharmacists.

  • 02

    Rigorous, explicit methodology

    Standard quantitative indicators — the Herfindahl–Hirschman Index and top-supplier shares — on official UN Comtrade data for six countries and six years, with sensitivity tests, mirror data, and HS codes matched to official descriptions.

  • 03

    Open data, verifiable and reproducible

    Each paper is published with its raw data, code and derived tables under CC BY 4.0. Any researcher can reproduce the results from scratch.

  • 04

    Protocols published before the work

    We publish the review plan before execution, following JBI and PRISMA-ScR, so the finished work can be measured against what was announced. Protocol: From Pilots to Practice… version 0.6, 17 October 2026.

    doi: 10.5281/zenodo.23421989
  • 05

    Every source verified and logged

    Every source is opened and the cited passage is read. Claims are tagged source-confirmed, inference, or unverified. Every DOI is checked through Crossref, and secondary citations are traced to their origin.

  • 06

    Multi-model AI evaluation

    We evaluate language models with independent cross-model review, deterministic automated checks, and a record of disagreements.

  • 07

    Independence

    Self-funded research. No commercial or government sponsor. No external party sets the questions or the findings.

  • 08

    Candour on limits, respect for source rights

    We state what the results do not measure, and we do not redistribute others' text: we publish the questions and links to official sources, not ministry wording.

  • 09

    Pharmaceutical expertise, prior peer-reviewed work

    The research is led by a pharmacist (BPharm, Al-Azhar University) who co-authored a paper in a peer-reviewed international journal: International Journal of Molecular Sciences, 2022.

    doi: 10.3390/ijms23158407

Papers

Papers

Preprint

Essential medicines · GCC

Who Owns the Gulf's Medicine?

إنسولين الخليج في يد مورّد واحد تقريبًا… فماذا لو تأخرت الشحنة؟

Gulf Cooperation Council states import most of their medicines, but published local-production figures disagree because they rest on different definitions. This paper measures supplier-country concentration of medicine imports in all six GCC states, and compares the finished-product layer with the active pharmaceutical ingredient layer for tracer medicines from the 2025 WHO Model List of Essential Medicines. At heading level, GCC import dependence looks diversified; at tracer level it is concentrated, and for insulin it rests almost entirely on finished-product imports from one or two European suppliers.

Ahmed Abdelalim, VisionSeek

Abdelalim, A. (2026). Who Owns the Gulf's Medicine? Finished-Product versus API Import Concentration for WHO Essential Medicines across the Six GCC States [Preprint]. Zenodo. https://doi.org/10.5281/zenodo.23657727

Preprint

AI data centres · Supply concentration

Who Owns the Stack? — Gulf AI data-centre components

من يملك البنية التحتية؟ — مكوّنات مراكز بيانات الذكاء الاصطناعي في الخليج

The six GCC states have announced AI data-centre programmes; a 2026 Abha Foundation review puts them at about 12.8 GW in Saudi Arabia, 8.1 GW in the United Arab Emirates and 1.8 GW in Qatar. This paper builds a replicable, per-country indicator of import-supplier concentration for four critical component classes: compute and network equipment, high-voltage power equipment, cooling equipment, and water-treatment machinery used in desalination. In the 2023 preliminary sample, five of twenty-four reporter–class cells are highly concentrated and eight are moderately concentrated — bounds on the trade channel through which these components arrive, not ownership shares.

Ahmed Abdelalim, VisionSeek

Abdelalim, A. (2026). Who Owns the Stack? A Per-Country Quantification of Critical-Component Supplier Concentration behind Gulf AI Data-Centre Build-out [Preprint]. Zenodo. https://doi.org/10.5281/zenodo.23657775

Preprint

Arabic health AI · Gulf dialects

Official-Source Health Information in MSA and Gulf Dialects

المعلومة الصحية من مصدر رسمي بالفصحى ولهجات الخليج

Arabic large language models are increasingly evaluated on medical content, but existing Arabic health benchmarks mostly draw on examination questions, translated English material or online forums, rarely use Gulf dialects in parallel with Modern Standard Arabic, and rarely involve pharmacists. This paper designs and pilots an evaluation set whose ground truth is public awareness content published by GCC ministries of health on diabetes, obesity, medicines use and fasting in Ramadan: 69 MSA question–answer items — 48 from nine Saudi Ministry of Health pages and 21 from two Omani ministry documents — with Saudi and Kuwaiti variants of every question. Two free AI models acting in a clinical-pharmacist role reviewed the items and a feasibility run; no human pharmacist or clinician reviewed either.

Ahmed Abdelalim, VisionSeek

Abdelalim, A. (2026). Official-Source Health Information in MSA and Gulf Dialects: A Pilot Evaluation Set Grounded in GCC Ministry-of-Health Awareness Content, with AI Review in a Clinical-Pharmacist Role [Preprint]. Zenodo. https://doi.org/10.5281/zenodo.23657799

Quality and integrity standards

Quality and integrity standards

  • Open data and reproducibility

    Each paper is published with its raw data, code and derived tables under CC BY 4.0. Any researcher can reproduce the results from scratch.

  • Protocol published before execution

    We publish the review plan before execution, following JBI and PRISMA-ScR, so the finished work can be measured against what was announced.

    doi: 10.5281/zenodo.23421989
  • Source verification

    Every source is opened and the cited passage is read. Claims are tagged source-confirmed, inference, or unverified. Every DOI is checked through Crossref, and secondary citations are traced to their origin.

  • AI-use statement

    Item reviews in our research are performed by independent AI tools, with cross-model review and automated checks of figures and drug names. No human pharmacist reviewed the items.

  • Independence and funding

    Our research is self-funded; there is no external funder. No external party sets the questions or the findings.

Ahmed Abdelalim

Founder

Ahmed Abdelalim

Founder & Chief Capability Architect, VisionSeek

BPharm, Al-Azhar University

VisionSeek, Incheon, South Korea

ORCID 0000-0003-4085-0942

Prior peer-reviewed work

Elkaeed EB, Eissa IH, Elkady H, Abdelalim A, et al. A Multistage In Silico Study of Natural Potential Inhibitors Targeting SARS-CoV-2 Main Protease. International Journal of Molecular Sciences, 2022.

DOI: 10.3390/ijms23158407