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Indonesia: AI Applications for Enhanced Diagnosis

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Artificial intelligence (AI) has become essential  to advancing medical research and healthcare delivery. AI’s ability to process and analyse large datasets swiftly and accurately makes it a crucial tool for disease research, diagnosis, and treatment. This transformative impact is evident across various medical applications, highlighting AI’s potential to revolutionise healthcare.

Image credits: brin.go.id

One prominent example of AI’s application in medicine is its use in malaria research. Anto Satriyo Nugroho, the Research Centre for Artificial Intelligence and Cyber Security (PRKAKS) head at The National Research and Innovation Agency (BRIN), shared insights into this innovative approach during a PRKAKS webinar. He explained that AI is employed in microscopic imaging data analysis to detect malaria. “Using a thin patch of a malaria patient’s blood observed under a microscope, AI can help identify plasmodia within the blood cells,” he stated. This method leverages advanced digital imaging techniques to detect the presence of the malaria parasite, facilitating quicker and more accurate diagnoses.

Anto Satriyo Nugroho, the head of the PRKAKS at BRIN, shared insights into using AI for malaria research. At a PRKAKS webinar, he explained how AI is employed in microscopic imaging data analysis. “Using a thin patch of a malaria patient’s blood observed under a microscope, AI can help identify plasmodia within the blood cells,” he stated. This method leverages advanced imaging techniques to detect the presence of the malaria parasite, facilitating quicker and more accurate diagnoses.

However, Anto highlighted several challenges in this research. One major issue is the poor quality of microscopic images obtained from the field, which can hinder accurate analysis. Additionally, there is a quantitative limitation due to the restricted involvement of doctors or other potential users in the research and writing process. Despite these obstacles, the integration of AI in analysing microscopic images represents a significant advancement in malaria research.

AI’s potential extends beyond malaria research. Toto Haryanto, a lecturer from the Computer Science department at the Bogor Agricultural Institute, discussed AI’s role in cancer detection. He explained that AI could utilise data to generalise models for diagnosing diseases. “The approach is image-based,” Toto said. “This image analysis relies on extracting information based on the color, shape, and texture of the image object, which is crucial for distinguishing between different varieties.”By employing histopathological imaging, AI can identify abnormal body tissues in patients suspected of having cancer. This process involves the gold standard biopsy, where Hematoxylin and Eosin staining are used to differentiate cancerous cells.

In another significant application, Danang Waluyo, a young researcher at the Vaccine and Drug Research Centre-BRIN, employed deep learning methods to categorise images and videos in his research on microbial diversity. Similarly, M Rodhi Supriyadi, the first engineer at PRKAKS-BRIN, used AI to classify frog images using the InceptionV3 model. Danang emphasised the importance of microbial diversity in drug discovery, noting that microbiologists, biochemists, chemists, and natural material experts must collaborate closely to identify promising active compounds from microbes.

Rodhi further elaborated on the potential of the Cladosporium genus, known for producing compounds with anti-cancer, antimicrobial, and antiviral properties. “The type of machine learning that uses neural networks contains many hidden layers with the capacity to automatically represent data or properties and its capacity for transferring learning,” Rodhi explained. This advanced AI technique allows for the efficient classification and analysis of complex biological data, leading to more effective and targeted medical treatments.

The integration of AI in medical research and diagnostics is revolutionising the field. From malaria and cancer detection to microbial diversity studies, AI is an invaluable tool, enabling researchers to analyse vast amounts of data with unprecedented accuracy and speed. As these technologies continue to evolve, they hold the potential to significantly improve patient outcomes and advance our understanding of various diseases.

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SIRIM is a premier industrial research and technology organisation in Malaysia, wholly-owned by the Minister​ of Finance Incorporated. With over forty years of experience and expertise, SIRIM is mandated as the machinery for research and technology development, and the national champion of quality. SIRIM has always played a major role in the development of the country’s private sector. By tapping into our expertise and knowledge base, we focus on developing new technologies and improvements in the manufacturing, technology and services sectors. We nurture Small Medium Enterprises (SME) growth with solutions for technology penetration and upgrading, making it an ideal technology partner for SMEs.

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HashiCorp provides infrastructure automation software for multi-cloud environments, enabling enterprises to unlock a common cloud operating model to provision, secure, connect, and run any application on any infrastructure. HashiCorp tools allow organizations to deliver applications faster by helping enterprises transition from manual processes and ITIL practices to self-service automation and DevOps practices. 

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IBM is a leading global hybrid cloud and AI, and consulting services provider, helping clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Nearly 3,800 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently, and securely. IBM’s breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and business services deliver open and flexible options to our clients. All of this is backed by IBM’s legendary commitment to trust, transparency, responsibility, inclusivity, and service. For more information, visit www.ibm.com