Antimicrobial resistance has now emerged as one of the most daunting challenges to global health in the 21st century. The state of antibiotic production, regulation, and use in India needs urgent consideration given the unique combination of challenges and opportunities…
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Artificial Intelligence (AI) is revolutionizing academia by transforming research, teaching, and service activities. From automating tasks and enabling virtual collaboration to enhancing personalized learning and streamlining academic services, AI offers immense potential. However, ethical challenges and the need for human-AI synergy highlight the importance of balanced integration for academia’s future evolution.
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Discover how children’s language learning reveals profound lessons for resilience, focus, and growth. Drawing parallels with healthcare practices, this article explores how subtle signals shape understanding, resilience fosters strength, and lifelong learning drives personal and professional transformation. Embrace these insights to thrive in healthcare, personal development, and beyond.
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Oral potentially malignant disorders (OPMDs) significantly impact oncology due to their association with oral cancer. Conditions like oral leukoplakia and erythroplakia vary in malignancy risk, emphasizing the need for early detection, personalized care, and public health initiatives. Research by Villa et al. underscores targeted screening and molecular profiling for better outcomes.
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Antimicrobial resistance (AMR) is a critical global health threat, jeopardizing decades of medical progress. World AMR Awareness Week emphasizes the urgent need to “Educate, Advocate, Act Now.” Through education, policy advocacy, and immediate action, stakeholders can combat AMR, ensuring life-saving antimicrobials remain effective for future generations. Collaboration is essential to drive lasting change.
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Ng et al.’s article, “Scaling Equitable AI in Healthcare with MLOps,” offers a comprehensive framework for integrating Machine Learning Operations (MLOps) in healthcare. It emphasizes fairness, robustness, and compliance, highlighting strategies like stakeholder collaboration, workflow integration, and continuous monitoring to ensure equitable and effective AI/ML deployment for improved patient outcomes.
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A recent study highlights AI’s transformative potential in healthcare, with OpenAI’s ChatGPT-4 achieving 90% diagnostic accuracy, surpassing physicians. Despite its promise as a “doctor extender,” challenges like cognitive biases, AI literacy, and ethical concerns persist. Integrating AI into clinical practice demands training, trust-building, and collaboration to fully harness its capabilities.
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Agentic AI, the third wave of artificial intelligence, is transforming the future of work by enabling autonomous systems to take initiative and perform complex tasks. Bernard Marr explores its potential to enhance productivity, foster human-AI collaboration, and redefine industries, urging organizations to adapt strategically and embrace this groundbreaking evolution responsibly.
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