Tumor biology plays a critical role in cancer outcomes, often outweighing the impact of surgical and technical precision. By understanding molecular traits and leveraging personalized therapies, modern oncology is revolutionizing treatment strategies, improving survival rates, and shaping the future of cancer care.
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Market Value Per Employee (MVPE) is a key metric for assessing the efficiency and profitability of Indian hospitals. This article explores top-ranking hospitals, factors driving MVPE variations, challenges, and strategies for sustainable growth, offering insights for investors, management, and healthcare stakeholders.
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Cognitive biases silently influence surgical decisions, often leading to adverse outcomes. This article examines the findings of a systematic review, highlighting six key bias-related themes in surgery, their patient impact, and the urgent need for effective mitigation strategies.
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Discover how wearable devices and AI are transforming healthcare with predictive diagnostics, personalized medicine, and public health innovations. Explore the future of healthcare technology and its potential to create accessible, efficient, and patient-centered systems.
This article explores the journey of scaling a Radiology Diagnostic Centre in Tier-2 India, delving into challenges like funding, infrastructure gaps, and talent retention. Drawing from personal investment experience, it outlines strategic pathways, including leveraging profits, partnerships, and technology, to achieve sustainable growth while addressing underserved healthcare markets.
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The study, “ChatGPT GPT-4 versus Doctors on Complex Cases,” highlights AI’s potential and limitations in handling intricate medical scenarios. Published in BMJ Open, it underscores GPT-4’s performance against physicians, sparking vital discussions on AI’s ethical and practical healthcare integration, while emphasizing the importance of collaboration between technology and clinical expertise.
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IIT Madras’ Sudha Gopalakrishnan Brain Centre has digitally imaged 5,132 brain sections, creating the groundbreaking ‘Dharani’ dataset, a detailed atlas of over 500 brain regions. Achieved at a fraction of global costs, this resource advances neuroscience, medical imaging, and neuro-pharmaceuticals, positioning India as a leader in cost-effective scientific innovation.
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Large language models (LLMs) are revolutionizing healthcare by enhancing clinical workflows, from summarizing electronic health records to matching patients with clinical trials. A study highlights cost-efficiency strategies like concatenation querying, reducing costs 17-fold while addressing challenges such as accuracy and complexity, paving the way for scalable AI-driven healthcare solutions.
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