Artificial intelligence enhances laboratory medicine by improving diagnostic accuracy, efficiency, predictive modeling, personalized care, and data-driven decision-making.

This study highlights machine learning's potential to enhance cybersecurity by improving anomaly detection, threat prevention, and adaptive security strategies.

Enhances understanding of gender-specific addiction factors to inform tailored interventions, improve treatment accessibility, and promote holistic recovery for women.

This study highlights how real-time analytics tools optimize marketing strategies, enhance engagement, improve retention, and drive sustainable growth for startups.

This study identifies potent p38 MAPK inhibitors, highlighting their potential in developing targeted therapies for Alzheimer’s disease.

The study demonstrated AI-driven digital marketing's role in transforming healthcare by enhancing personalization, efficiency, patient engagement, and care outcomes.

Emerging PCR alternatives offer faster, cost-effective, and sensitive nucleic acid amplification, enhancing diagnostics, research, and point-of-care testing.

This study affirms diabetes as a key HCC risk factor, underlining metabolic disturbances from diabetes as contributors to liver disease, cancer development.

Chronic kidney disease (CKD) increases alpha-fetoprotein (AFP) levels and alanine aminotransferase (ALT) and aspartate aminotransferase (AST) activities while decreasing the platelet count.

This study highlights ethical and regulatory challenges of AI credit management in Bangladeshi banks, offering insights for responsible adoption.

Natural bioactives and therapeutics based on the microbiota provide promising, focused methods for successfully treating chronic, neurological, and cancerous conditions.

Empowers rural farming communities through intelligent, sustainable energy systems by bridging AI innovation with social, technical, and institutional infrastructure.

AI enhances public health by improving disease prediction, healthcare delivery, and equity, while addressing ethical, technical, and infrastructural challenges.

This study demonstrated AI’s transformative impact across business, engineering, and healthcare, emphasizing ethical integration for sustainable innovation.

Cancer imaging enhances early detection, improves diagnostic accuracy, supports personalized treatment, and promotes equitable, efficient healthcare delivery.

This study highlights how improved governance quality, transparency, and accountability significantly enhance inclusive, sustainable economic growth and citizen trust in Bangladesh.

The study highlights essential strategies and innovations in medical waste management, crucial for protecting public health and environmental safety.

The financial risk management system attains better predictive accuracy and decision-making efficiency through AI and ML technology implementation.

This study shows IL4Rα molecular profiling as a predictive tool to identify allergy-prone antibiotics, improving safety and precision prescribing.

This study affirms diabetes as a key HCC risk factor, underlining metabolic disturbances from diabetes as contributors to liver disease, cancer development.

The study introduces rural depression, together with its contributing factors, to the importance of mental health education immediately.

Human insight integration with healthcare waste and abuse detection which leads to better transparency and operational efficiency and organizational responsibility.