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What Makes a Good Cancer Dataset for AI? Key Features and Pitfalls
The rapid growth of artificial intelligence in oncology brings with it a pressing requirement: access to high-quality, well-structured data. While algorithm development often gets the spotlight,...
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“Beyond Funding”: Our CEO at Female Founders Pitch Night
On March 14th, 2025, our CEO & Co-Founder, Dr. Manasi A-Ratnaparkhe, delivered an inspiring keynote. Her talk, titled Beyond Funding – The Art of Building an Agile...
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Synthetic Data in Oncology: Can It Replace Real Slides for Training?
As artificial intelligence (AI) continues to advance the field of oncology, the need for large, diverse, and high-quality data has never been more pressing.
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Coming Soon: ByteSight – Insights from Every Byte
PAICON is proud to launch ByteSight, a new expert talk series designed to spark discussions on the future of digital health and AI-driven cancer diagnostics. ByteSight...
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The Blind Spot: What If AI Doesn’t Know You Exist
Artificial intelligence (AI) is reshaping cancer research by improving early detection, optimizing treatment strategies, and driving advancements in precision medicine. Yet, beneath its promise lies a...
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Real-Life Cases of AI Bias in Cancer Diagnostics
Artificial intelligence (AI) is revolutionizing healthcare, offering powerful tools for cancer detection and diagnosis. However, the growing reliance on AI models brings an urgent concern:
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Understanding Bias in AI-Driven Cancer Diagnostics
AI in oncology enables early cancer detection, improves diagnostics, and personalizes treatment plans. However, these advancements are only as reliable as the data they are built...
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United by Unique: Innovating Today for a Cancer-Free Tomorrow
Cancer remains one of the leading causes of death worldwide, claiming nearly 10 million lives each year, according to the World Health Organization (WHO). It affects...
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How AI and Big Data Are Changing Breast Cancer Treatment
Breast cancer affects every patient differently. Traditional treatments use a general approach, but with big data, doctors can now provide more personalized care.