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The Science Behind VisioGene

"At VISIOGENE, we harness the power of advanced artificial intelligence and deep learning to revolutionize retinal diagnostics. Our AI-driven system processes high-resolution retinal images, identifying subtle patterns and abnormalities linked to multiple diseases. By integrating image processing techniques with medical data analysis, our technology delivers real-time, accurate diagnoses. This blend of cutting-edge science and innovation ensures reliable results, empowering healthcare professionals to make informed decisions while making quality eye care more accessible to all."

A Detailed Breakdown

VisioGene is a perfect amalgamation of all the sciences, backed by the support of solid analytical mathametics and Artificial Intelligence 

  • PHYSICS: Spectroscopy is used to analyze how light interacts with the retina. Specific structural changes in the retina alter its fluorescence and absorption properties, enabling disease identification. For instance, diabetic retinopathy can be detected through changes in oxygen saturation and lipofuscin fluorescence signals
  • BIOLOGY:  Understanding the retina’s anatomy, including the macula, optic disc, and retinal blood vessels, is key to diagnosing diseases. Abnormalities in specific regions, such as swelling in the macula or vessel leakage, are strong indicators of conditions like AMD or diabetic retinopathy.
  • CHEMISTRY: Structural changes in biomolecules, such as proteins, lipids, and pigments, are linked to retinal diseases. The accumulation of advanced glycation end-products (AGEs) in diabetic retinopathy or drusen deposits in macular degeneration are biochemical markers detectable by the AI model.
  • MATHEMATICS: The AI’s foundation relies on complex mathematical principles, including linear algebra and matrix computations, to build and train neural networks. Algorithms process millions of data points to recognize patterns, enabling precise and efficient disease detection.

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