Meet Luminara. We are developing effective computational models, which have broad applicability and can be used in conjunction with high-resolution spectroscopy devices, to provide greater, real time, physiological characterisation of the tissue. Image The Team Alex Adams Dr Sohan Seth Dr Andras Kufcsak Prof Kev Dhaliwal Problem At present, early-stage cancer detection can be ambiguous, with un-certain results, often subjecting the patients to routine screening leading to a ‘wait and see’ diagnosis. In addition, there are currently minimal real time tools which predict whether the tumour is responding to treatment. Solution Our solution uses novel high-resolution fluorescence un-mixing algorithms, which will provide additional metabolic information of the tissue, assisting clinicians with enhanced information about the underlying disease. Market Our un-mixing algorithms equip researchers, clinicians, and healthcare pioneers to delve deeper into the origin of tissue fluorescence. With broad applications from treatment prediction to precision diagnostics, our technology addresses the evolving needs of a diverse and dynamic market. Contact Alex Adams LinkedIn Image This article was published on 2024-06-06
