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All Journal HAYATI Journal of Biosciences Journal of Food and Pharmaceutical Science Indonesian Journal of Biotechnology The Indonesian Biomedical Journal Science and Technology Indonesia Jurnal Fitofarmaka Indonesia JFIOnline Jurnal Ilmu Kefarmasian Indonesia Jurnal Jamu Indonesia JURNAL RECTUM: Tinjauan Yuridis Penanganan Tindak Pidana International Journal of Social Service and Research Journal of Social Research Journal Of World Science MEDICINUS Journal of Law, Poliitic and Humanities The Indonesian Journal of Gastroenterology, Hepatology and Digestive Endoscopy INJURITY: Journal of Interdisciplinary Studies Journal of Social Science Influence: International Journal of Science Review Al Makki Health Informatics Journal Journal of Food and Pharmaceutical Sciences Indonesian Journal of Jamu
Raymond R. Tjandrawinata
Fakultas Bioteknologi, Universitas Katolik Indonesia Atma Jaya
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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Clinical Study of DLBS2411, a Mucoprotector and Proton Pump Inhibitor Bioactive Fraction Derived From Cinnamomum burmanii, on the Intragastric Acidity Tjandrawinata, Raymond Rubianto; Abdullah, Murdani; Simadibrata, Marcellus; Susanto, Liana W; Renaldi, Kaka
The Indonesian Journal of Gastroenterology, Hepatology, and Digestive Endoscopy Vol 26, No 1 (2025): VOLUME 26, NUMBER 1, April, 2025
Publisher : The Indonesian Society for Digestive Endoscopy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24871/261202543-54

Abstract

Background: DLBS2411, A bioactive fraction derived from the bark of Cinnamomum burmanii has been developed to address acid-related gastrointestinal disorders. This study evaluated the pharmacodynamic effect of DLBS2411 on the 24-hour intragastric acidity in healthy adults.  Methods: In a 3-arm, parallel, double-blind, randomized, placebo-controlled clinical trial, healthy subjects received a single dose of DLBS2411 (250 mg or 500 mg) or placebo. Gastric pH was monitored, analyzed and profiled over 24 hours. Results: Of a total of 54 enrolled male subjects, 47 subjects (87.04%) were eligible for the analysis. The mean 24-hour intragastric pH for DLBS2411 250 mg and 500 mg was 2.29 ± 0.42 and 2.13 ± 0.50, respectively, both higher than placebo (1.93 ± 0.70). Differences were more pronounced during the first 12 hours (daytime). DLBS2411 250 mg and 500 mg reached a gastric pH 4 significantly faster (129.9 ± 128.2 and 92.9 ± 106.8 minutes) compared to placebo (196.9 ± 99.7 minutes). No serious adverse events occurred. All adverse events were mild and had been resolved by the end of study, confirming the safety and tolerability of DLBS2411 at the dose of 250 and 500 mg. Conclusion: DLBS2411 effectively suppressed the intragastric acidity and demonstrated a good safety profile in healthy adults. These findings warrant further studies of DLBS2411 in patients with gastric acid-related disorders. Keywords: Alternative medicine, DLBS2411 cinnamomum burmanii, healthy volunteers, intragastric-acidity, proton pump inhibitors
Harnessing Artificial Intelligence in Generic Formulation Development and Life Cycle Management - A Comprehensive Review Babu, Murali Mohan; Luh Putu Nurshanti, Ni; Martha Wijaya, Harry; R. Tjandrawinata, Raymond
Al Makki Health Informatics Journal Vol. 3 No. 1 (2025): Al Makki Health Informatics Journal
Publisher : Al Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/hij.v3i1.45

Abstract

Artificial intelligence (AI) is revolutionizing the pharmaceutical industry by enhancing efficiency, precision, and cost-effectiveness in drug development. This study explores the application of AI in the lifecycle management of generic drugs, focusing on key stages such as active pharmaceutical ingredient (API) synthesis, excipient selection, pre-formulation studies, bioequivalence testing, and regulatory compliance. By leveraging machine learning algorithms, AI facilitates predictive modeling, risk assessment, and optimization of drug formulation processes, reducing time-to-market and improving scalability. Despite significant advancements, challenges such as data quality, algorithm transparency, and infrastructure limitations persist, particularly in resource-constrained settings. This review highlights case studies and emerging technologies that address these challenges, providing actionable insights for pharmaceutical stakeholders. The study also discusses AI's potential to streamline supply chain logistics, enhance accessibility, and ensure regulatory adherence. By integrating AI across all stages of generic drug development, this research underscores its transformative potential in improving drug affordability, accessibility, and patient outcomes globally.
The Structured Innovation System: Optimizing Patent Filing and Obtaining Global Protection Tjandrawinata, Raymond R.; Budi, Henry Soelistyo; Heliany, Ina
Journal of Social Science Vol. 6 No. 3 (2025): Journal of Social Science
Publisher : Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Innovation is a fundamental driver of economic growth and technological advancement, yet securing intellectual property rights remains a complex challenge. The structured approach to innovation emphasizes key pathways for patent filing and global protection, ensuring a streamlined transition from ideation to commercialization. Drawing from Structured Innovation framework and other theoretical perspectives, this study examines how systematic innovation processes, strategic decision-making, and collaborative ecosystems contribute to robust intellectual property strategies. Through a comparative analysis of legal frameworks, case studies, and empirical data, this study presents insights for inventors and organizations seeking to optimize their patent portfolios. The findings underscore the importance of integrating structured methodologies with legal foresight to enhance global competitiveness and innovation sustainability. Future research directions include the application of structured patent filing to emerging fields such as AI-driven biotechnology and blockchain-based intellectual property management.
Pendekatan Integratif dalam Manajemen Dengue Raymond R. Tjandrawinata
MEDICINUS Vol. 38 No. 8 (2025): MEDICINUS
Publisher : PT Dexa Medica

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56951/699q0n64

Abstract

Dengue, as one of the most challenging tropical diseases of the 21st century, continues to present significant clinical and epidemiological complexities in developing countries, including Indonesia. With the increasing incidence of global dengue infections and the limited availability of definitive therapeutic options, clinical management is shifting toward optimizing supportive therapy and exploring adjuvant strategies to improve key clinical parameters such as hemodynamic and platelet count. By emphasizing the role of two interventions, Gelafusal (gelatin solutions) as a colloid fluid for resuscitation and Psidii (Psidium guajava folium extracts) as a platelet production-stimulating agent, through the lens of bioethics, pharmacodynamics, and evidence-based clinical strategies, this review offers a critical reflection on the opportunities and limitations of applying multimodal interventions in dengue management.
Inovasi dan Praktik Terbaik dalam Model Tikus Hasil Rekayasa Genetik untuk Penelitian Praklinis dan Translasional Raymond R. Tjandrawinata
MEDICINUS Vol. 38 No. 8 (2025): MEDICINUS
Publisher : PT Dexa Medica

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56951/26jxqx92

Abstract

Genetically engineered mouse models (GEMMs) have undergone significant evolution since their initial development in the late 1980s. Over the past decade, advancements in genome editing technologies such as clustered regularly interspaced short palindromic repeats (CRISPR)-Cas9, base editing, and prime editing, have sparked a new wave of innovation in the design and application of GEMMs. This article explores the historical development of GEMMs, recent technical advancements beyond CRISPR, their broad-spectrum applications across diseases, including autoimmune and cardiovascular, integration of multiomics approaches, and the role of GEMMs in pharmacokinetic and pharmacodynamicstudies. It also addresses aspects of colony management, experimental animal ethics, international regulations, convergence with artificial intelligence, and case studies of successful clinical translation based on studies using GEMMs. By synthesizing the latest literature from various international databases, this article provides a strategic guide for researchers to optimize the potential of GEMMs in improving the accuracy and translational relevance of innovative therapy development.
Network pharmacology‐based exploration of gut microbiota‐derived metabolites for type‐2 diabetes Widjaja, Nadia; Simatupang, Stefeny Theresia; Tan, Santi; Tjandrawinata, Raymond Rubianto
Indonesian Journal of Biotechnology Vol 30, No 3 (2025)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijbiotech.107382

Abstract

Probiotics confer health benefits and have been investigated for their potential therapeutic properties in type‐2 diabetes (T2D) treatment. This study employs a network pharmacology approach to explore gut microbiota‐derived metabolites that potentially alleviate T2D. Several strains and species of gut microbiota were identified that may produce metabolites with therapeutic potential for T2D. Interestingly, quercetin produced by Bacteroides uniformis and daidzein produced by Bifidobacterium adolescentis and Bifidobacterium breve have been studied for their antidiabetic effects. Using a network pharmacology approach, it was found that quercetin may target AKT1 and EGFR, critical proteins involved in insulin signaling pathways related to T2D. Additionally, 10‐oxo‐11‐octadecenoic acid produced by Lactobacillus plantarum and 10‐keto‐12Z‐octadecenoic acid produced by Lactobacillus paracasei were found to target PPARG, a gene regulating insulin signaling. These findings were further validated by the molecular docking analysis, which showed suitable to satisfactory binding strengths.
Farmakogenomik dalam Pengobatan Presisi: Tinjauan dengan Studi Kasus Clopidogrel dan Tren Masa Depan Raymond R. Tjandrawinata
MEDICINUS Vol. 38 No. 9 (2025): MEDICINUS
Publisher : PT Dexa Medica

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56951/fqx9vg55

Abstract

Pharmacogenomics has emerged as a cornerstone in the development of precision medicine, aiming to tailor drug therapy based on an individual’s genetic profile. By identifying genetic variations that influence drug metabolism, efficacy,and safety, pharmacogenomics paves the way for improved therapeutic outcomes reduced adverse drug reactions. One of the most significant examples in clinical practice is clopidogrel, an antiplatelet agent whose biopharmacologicalactivation depends on the CYP2C19 enzyme. Genetic variations in CYP2C19 significantly affect the clinical effectiveness of clopidogrel and the risk of major cardiovascular events. This article outlines recent developments in the implementationof pharmacogenomics, focusing on the clopidogrel case study, while also exploring other key gene–drug interactions such as codeine/CYP2D6, warfarin/VKORC1, and statin/SLCO1B1. The review also maps future trends in pharmacogenomics,including multiomic integration, preemptive genotyping, AI-based predictive modeling, and the potential for gene-editing interventions such as clustered regularly interspaced short palindromic repeats (CRISPR). Despite significant progress,implementation challenges remain, ranging from cost and healthcare infrastructure to ethical and regulatory dilemmas. This review aims to provide both a conceptual and practical foundation for the development of truly personalized pharmacotherapy in the future.
Dasar Neurobiologis Akuisisi Bahasa Dini: Mengapa Anak masih Mengungguli Kecerdasan Buatan Raymond R. Tjandrawinata
MEDICINUS Vol. 38 No. 9 (2025): MEDICINUS
Publisher : PT Dexa Medica

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56951/qk5jw768

Abstract

Despite remarkable advances in artificial intelligence that have produced large language models (LLMs) capable of mimicking human linguistic behavior with high levels of sophistication, these systems still fall significantly short of the abilities of children in acquiring language rapidly, flexibly, and contextually. This article presents a systematic review from the perspective of cognitive and developmental neuroscience to address the question of why children remain superior in language learning compared to artificial intelligence systems. By examining mechanisms such as neuroplasticity, the involvement of social affective circuits, reward prediction systems, and multimodal sensorimotor functions in child language development, the article argues that human language acquisition is a phenomenon deeply embedded in the body, social relationships, and biological drives-dimensions that artificial systems inherently lack. The implications of this review extend to clinical interventions, education, and the development of AI systems that more closely approximate human neurocognitive architecture.
Menimbang Strategi Penatalaksanaan Deep Vein Thrombosis pada Pasien Strok Hemoragik Raymond R. Tjandrawinata
MEDICINUS Vol. 38 No. 10 (2025): MEDICINUS
Publisher : PT Dexa Medica

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56951/nca87c96

Abstract

Hemorrhagic stroke is an acute condition with high morbidity and mortality rates, and is frequently accompanied by complications such as deep vein thrombosis (DVT). The main dilemma in managing DVT in this condition is a therapeutic paradox, where anticoagulants use is effective in preventing pulmonary embolism, but carries the risk of worsening intracranial bleeding. International guidelines recommend mechanical prophylaxis, such as intermittent pneumatic compression (IPC), and cautious use of low-dose anticoagulants in stable hematomas, although clinical evidence remains limited. Biological alternatives, such as DLBS1033, derived from Lumbricus rubellus, have shown potential safety and efficacy in case reports from Indonesia. Ethical perspectives, health policy, as well as pharmacological innovations andartificial intelligence, are essential to develop adaptive, equitable, and evidence-based strategies in the management of DVT following hemorrhagic stroke.
Co-Authors Achmad K. Harzif Agung Endro Nugroho Agung Endro Nugroho Andon Hestiantoro Andri Prasetiyo Anindini Winda Amalia Anindyajati Anindyajati Anita Artarini Anita Artarini Armini Syamsidi B. Atawolo, Andreas Babu, Murali Mohan Budi Wiweko Caroline G. Puspita Catur Riani Danang Agung Yunaidi Dayana, Hepy Debbie S. Retnoningrum Debbie S. Retroningrum Debbie Soefie Retnoningrum Dewi Riskha Nurmalasari Diana Nur Afifah Esti Mumpuni Esti Mumpuni Esti Mumpuni, Esti Gayatri, Anggi Gita Pratama Hartati Tuna, Hartati Heliany, Ina Henry Soelistyo Budi Henry Soelistyo Budi, Henry Soelistyo Herbert Situmorang Herbert Situmorang Huda Shalahudin Darusman Indriawati, Iin Irsan Hasan Ismaya, Wangsa T. Kaka Renaldi Kanadi Sumapradja Krisnayanti, Ni Putu Eka Kristiana, Hery Kristiana, Hery Laurentia Stephani Lee, Hee Jae Liana W. Susanto Lilik Sulastri Luh Putu Nurshanti, Ni Maggy T. Suhartono Maggy T. Suhartono Maggy Thenawidjaja Suhartono Marcellus Simadibrata Martha Wijaya, Harry Melva Louisa Muharam Natadisastra Murdani Abdullah Nafrialdi Nafrialdi Nailufar, Florensia Nailufar, Florensia Novia Tri Astuti Novia Tri Astuti Novitasari, Putri Rachma Rachman, Andika Retroningrum, Debbie S. Rosyidah, Citra Santi Tan Saut Horas Hatoguan Nababan Setiabudy, Rahajuningsih D Shirly Kumala Silmi Citra Permanasari SILMI MARIYA Simatupang, Stefeny Theresia Sinaga, Wenny S.L. Soelistyo Budi, Henry Susanto, Liana W Suwijiyo Pramono Suwijiyo Pramono Tan, Santi Viedya Novalinda Said Wahyunia Likhayati Septiana Wangsa T. Ismaya Wangsa Tirta Ismaya Wawaimuli Arozal Widjaja, Nadia Winoto, Imelda L Winoto, Imelda L Yanti Lim Zaelani, Bella Fatima Dora