Corporate Strategy in Merger Plans for Construction-Based Business State Owned Enterprises Case Study: (PT. Pembangunan Perumahan Tbk. and PT. Wijaya Karya Tbk)

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This research discusses the ministry of SOE’s plan to take strategic steps by combining several companies in the construction sector. One of the companies that will be merged is PT. Pembangunan Perumahan Tbk and PT. Wijaya Karya Tbk. This research uses qualitative methods by using secondary data sources. This research begins by consolidating the financial statements of both companies to find out the total assets and expenses of both companies.It is known that after consolidation was carried out and linked to corporate strategy, the company was in position of retrenchment stage. The next analysis is a restructuring step using hexagonal restructuring framework. The company needs to release several of it’s subsidiaries operating in industrial, property and realty, and energy sectors. Whereas the company will maintain it’s subsidiaries in the construction, EPC, and equipment sectors.The analysis results show that the company needs to streamline it’s assets through the release of several subsidiaries that don’t support the core business.The results of the company’s financial projections show that the company will be able to gain profits in the future after restructuring was carried out.

A Review of AI-powered Diagnosis of Rare Diseases

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The diagnosis of rare diseases presents significant challenges due to their low prevalence, complex symptomatology, and the scarcity of specialized knowledge. However, advancements in Artificial Intelligence (AI) offer promising solutions to these challenges. This review explores the current state of AI-powered diagnostic tools for rare diseases, focusing on the methodologies, algorithms, and platforms utilized in this emerging field. We examine how AI technologies, such as machine learning, deep learning, and natural language processing, are being integrated into clinical practice to enhance diagnostic accuracy and speed. The research also provides the examples that highlight the successes and limitations of AI in this domain, providing insights into how AI can be harnessed to improve patient outcomes in rare disease diagnosis and management.