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All Journal Research of Scientia Naturalis Journal of Biomedical and Techno Nanomaterials
Fitriani Fitriani
Universitas Bumi Persada
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Physics

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DATA-DRIVEN DISCOVERY IN CHEMICAL SCIENCES: INTEGRATING AI WITH EXPERIMENTAL AND COMPUTATIONAL CHEMISTRY Fitriani Fitriani; Wang Jun; Max Weber
Research of Scientia Naturalis Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v3i1.3378

Abstract

The rapid growth of experimental and computational data in chemical sciences has created new opportunities and challenges for scientific discovery. Traditional hypothesis-driven approaches often struggle to efficiently explore complex chemical spaces characterized by high dimensionality, uncertainty, and resource constraints. Data-driven discovery, supported by artificial intelligence, offers a transformative paradigm by enabling the integration of experimental observations and computational insights into adaptive and scalable research workflows. This study aims to examine how artificial intelligence can be systematically integrated with experimental and computational chemistry to enhance discovery efficiency, predictive accuracy, and scientific interpretability. A mixed-methods research design was employed, combining curated experimental datasets, computational chemistry simulations, and machine learning models within an iterative feedback framework. Quantitative performance analysis and qualitative case studies were used to evaluate model accuracy, robustness, and practical utility. The results demonstrate that integrated AI models significantly outperform single-source approaches, showing lower prediction errors, improved generalization, and stronger alignment with chemical theory. Case-based evidence further indicates reductions in experimental trials and computational screening costs. The study concludes that data-driven discovery frameworks that tightly integrate artificial intelligence with experimental and computational chemistry represent a robust and sustainable approach for accelerating chemical innovation, supporting more informed decision-making, and advancing next-generation research methodologies in chemical sciences.
BIODEGRADABLE NANOMATERIALS FOR TISSUE ENGINEERING AND REGENERATIVE MEDICINE APPLICATIONS Fitriani Fitriani; Khalid Al Ansari; Sarah Al Sabih
Journal of Biomedical and Techno Nanomaterials Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v3i2.3642

Abstract

The field of tissue engineering and regenerative medicine has seen significant advancements with the use of nanomaterials, particularly biodegradable nanomaterials, which offer promising solutions for tissue regeneration and repair. These materials, due to their biocompatibility, biodegradability, and ability to mimic the extracellular matrix, play a crucial role in supporting cell growth, tissue development, and healing processes. Despite these promising properties, challenges remain regarding the optimization of nanomaterial performance, including controlled degradation rates and tissue-specific responses. This study aims to explore the potential of biodegradable nanomaterials in tissue engineering and regenerative medicine, focusing on their applications, properties, and functional enhancements through design optimization. The research aims to evaluate the efficacy of these nanomaterials in promoting tissue regeneration in various models, including bone, cartilage, and soft tissues. The study involves the synthesis and characterization of biodegradable nanomaterials, including nanofibers, nanoparticles, and hydrogels. In vitro cell culture assays and in vivo animal models are used to assess cell viability, proliferation, differentiation, and tissue regeneration potential. The study demonstrates that biodegradable nanomaterials significantly promote cell proliferation and differentiation, accelerating tissue repair and regeneration in all tested models. Controlled degradation rates of the nanomaterials contributed to sustained cell support and tissue integration. Biodegradable nanomaterials hold substantial promise for advancing tissue engineering and regenerative medicine, offering effective and sustainable solutions for tissue repair and regeneration.
Co-Authors Khalid Al Ansari Max Weber Sarah Al Sabih Wang Jun