Paradise
Latest Issue - Volume 1 Number 1 2025
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Paradise
Paradise Journal is an international, peer-reviewed, open-access platform dedicated to publishing high-quality research in the fields of life sciences, engineering, business, and natural s
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Paradise
Volume 1 Number 1 2025
Table of Contents
Research Article
Computational Biology
Tufael1*, Most Farhana Akter2, Md. Robiul Islam2, Md Abu Bakar Siddique3, Nashitha Hassan1, Abdullah Al Numan4, Asika Ayrin Naher4, Md Mahedi Hasan Shabuj4, Amena Khatun Manica5, Bulbul Shaikat6, Tahsin Bin Rabbani6
VEGFR2 mutations weaken sorafenib binding and start backup pathways, explaining resistance and supporting combined, multi-target treatments for liver cancer.
Abstract | Full Text |PDF (645 KB) | Open Access Article
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Empowering Strategic Decision-Making Through AI-Driven Business Analytics
AI combined with business analytics appear to give businesses the ability to live smarter, remain flexible in making strategic decisions.
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The Role of AI in Modern Accounting Automation
AI in accounting significantly enhances efficiency, accuracy, and strategic decision-making, transforming traditional practices and improving client service delivery.
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Advancing Healthcare Through Data Analytics Transitioning from Descriptive Insights to Predictive and Prescriptive Solutions
This study integrated data analytics transforms healthcare decision-making, improving accuracy, efficiency, and patient-centered outcomes through descriptive, predictive, and prescriptive solutions.
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Integrative approaches of AI in personalised disease management: From diagnosis to drug delivery
AI enhances healthcare efficiency by automating tasks, optimising workflows, and enabling timely, patient-centred care with reduced administrative burden.
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Smart Supply Chains Applying AI-Based Business Analytics for Operational Efficiency
The strategic advantages of long-term benefits surpass the current obstacles of implementation costs and limited workforce expertise.
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Encoded Resistance: Structural Disruption and Signaling Crosstalk Undermine Sorafenib Binding in Mutant VEGFR2-Driven HCC
VEGFR2 mutations weaken sorafenib binding and start backup pathways, explaining resistance and supporting combined, multi-target treatments for liver cancer.
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Artificial Intelligence in Renewable Energy: A Pathway Toward an Adaptive, Equitable, and Sustainable Future – Systematic Review
AI enhances renewable energy efficiency, reliability, and sustainability, enabling predictive operations, optimized resource allocation, and equitable, climate-resilient energy systems.
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AI in Precision Oncology: Revolutionizing Early Diagnosis, Imaging and Targeted Therapies
AI in precision oncology enables the early detection of cancer, tailors’ treatments to individual patients, and enhances patient outcomes with greater accuracy.
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Molecular Epidemiology and Resistance Mechanisms of Extensively Drug-Resistant Gram-Negative Bacteria: Challenges and Emerging Therapeutic Strategies
This study demonstrated molecular epidemiology and resistance mechanisms of XDR gram-negative bacteria, guiding diagnostics, surveillance, and targeted therapies.
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Data Driven Approaches to Mitigating Systemic Financial Risks in the U.S. Banking and Investment Sectors
The method of combining sentiment data with supervisory information creates an affordable system which detects systemic risks in financial institutions at earlier stages.
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AI in Fraud Detection and Forensic Accounting Detecting Anomalies and Fraudulent Transactions to Strengthen Financial Integrity
The combination of AI technology with forensic accounting delivers multiple advantages which include better fraud detection and anomaly reduction.
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A Maturity Model for Managing Artificial Intelligence, Cloud, and IT Integration Projects
The study presents actual data which demonstrates that project success depends mainly on governance and data maturity levels.
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Enhancing Organizational Productivity by Overcoming Challenges in Business Analytics and Human Capital
The study examines main elements which affect productivity to businesses their analytics with employee capabilities and operational workflows.
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