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Hello,
Artificial intelligence is only as powerful as the data it learns from, and for many rare diseases, that data is in short supply. A new approach now generates realistic synthetic images to fill those gaps, providing a stronger foundation for AI-based diagnostics. For medical development, this means better training quality, more targeted diagnostics and improved accessibility – even with a small number of cases.
Enjoy reading!
Your MEDICA editorial team
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Diagnostics right on site
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A new, portable analysis system makes molecular diagnostics possible wherever it is needed – without a complex laboratory infrastructure. The technology is suitable for infectious samples, DNA analysis and much more. This saves time, increases the reach of medical care and can even be used in disaster areas.
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Light-based therapy for bone healing
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Can light speed up bone healing? A new X-ray–like light therapy aims to do exactly that. Researchers are exploring how targeted radiation could stimulate regeneration after fractures – potentially offering a non-invasive, supportive approach to orthopedic treatment and recovery.
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AI image data for rare diagnoses
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Many rare diseases lack sufficient imaging data – making it difficult to train and validate AI systems. A new approach generates synthetic images that simulate real disease patterns. This enhances training quality for algorithms and helps make diagnostic processes more targeted and accessible – even when real data is scarce.
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Orthopedics meets sensor technology
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When it comes to diabetes, every preventive measure counts: Modern sensor technology enables continuous pressure monitoring inside the shoe – providing early alerts before chronic wounds develop. Our interview highlights why this approach is becoming increasingly important for both prevention and care.
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