Integrative Biomedical Research (Journal of Angiotherapy) | Online ISSN  3068-6326

Integrative Biomedical Research

Integrative Biomedical Research is an, international, peer-reviewed, Open Access journal that publishes research articles on all aspects of biomedical, medicine, public health, 

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Editor-in-Chief: Fazlul Huq, Ph.D.

Integrative Biomedical Research

Volume 9 Number 1 2025

Table of Contents


Research Article

Biotechnology

Published online 20 December 2024

Advances in Human Umbilical Vein Scaffolds for Vascular Tissue Engineering: Innovations, Challenges, and Future Directions

Thomas Jatiman 1*, Danang Himawan Limanto 1, Yan E Sembiring 1

pp. 1-6

This review explores innovative human umbilical vein scaffolds, enhancing vascular tissue engineering for regenerative medicine and cardiovascular applications.

Abstract | Full Text |PDF (291 KB) | Open Access Article


Published online 31 March 2024

Impact of Toxoplasmosis on Liver and Kidney Function in Women

Doaa A. Abdulwahab 1*, Dina A. A. Abdullah 2

pp. 1-6

This study determined the relationship between Toxoplasma infection and liver and kidney dysfunction, aiding in early diagnosis and treatment.

Abstract | Full Text |PDF (251 KB) | Open Access Article


Published online 30 December 2019

Acute and Sub- chronic Toxicity Study of Encapsulation of Combine Plants Extract of Ficus deltoidea and Gynocthodes sublanceolata in Balb/c Mice Model

Rafida Kh. Ahmed A, M. Syarhabilahmad A, Midhat Nabil A, Fouad Saleih R. Al –Suede B,*

pp. 147-155

Oral treatment with encapsulated plant extract Ficus deltoidea and Gynocthodes sublanceolata did not appear adverse side effect and it is safe to use for therapeutic purposes.

Abstract | Full Text |PDF (852 KB) | Open Access Article


Reviews

Biotechnology

Published online 26 July 2024

Artificial Intelligence in Breast Cancer Screening in Inducing Diagnostic Accuracy with Early Detection

Amiya Kumar Prusty1, Prasanna Parida2, Pradip Kumar Prusty3, Suryakanta Swain4, Bikash Ranjan Jena2*, Ram Naresh Yadav5, Sanjoy Das6, Bhisma Narayan Ratha7

pp. 1-8

This review discusses the AI to improve diagnostic accuracy in breast cancer screening, potentially reducing false positives and negatives and improving patient outcomes.

Abstract | Full Text |PDF (990 KB) | Open Access Article


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These articles have been peer reviewed and accepted for publication. They are still in production and have not been edited, so may differ from the final published form.

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