Computer technology is experiencing a shift as physical computing systems are becoming more sought after due to their ability to overcome limitations found in digital systems. The Ising machine is one such computing system with interest driven by its ability to solve combinatorial optimisation problems efficiently. Here we propose a novel Ising machine based on spontaneous symmetry-breaking in a Kerr optical resonator with an opto-electronic feedback mechanism. We will present numerical results demonstrating that our system may have inherent advantages over existing implementations due to the underlying symmetry-breaking mechanism.
Prostate cancer is a significant healthcare problem in many western countries. In response to the current need for more accurate and less invasive real-time diagnosis systems, we are developing a thin optical probe that uses Raman spectroscopy to detect prostate cancer in vivo and in real-time. We present results from an ex vivo study on fresh biopsy cores seconds after collection. Findings show that our system can identify prostate cancer from benign tissue, as well as differentiate tissue with different Gleason patterns. We aim to apply this technique, in the near future, for real-time PCa identification during routine biopsy appointments.
Discoid Lupus Erythematosus is a dermatological disease difficult to diagnose. By using Raman spectroscopy and MALDI mass spectrometry a shift in lipid biochemistry has been identified relative to healthy tissue, that can improve early detection.
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