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Devices that we offer
We developed and patented a combined method for real-time, non-invasive, inexpensive, fast, reliable, safe, easy to use and sensitive, laser-based diagnostic device, which may allow medical practitioners to detect cancer much earlier to save more lives.
DSL's core diagnostic technology is available in two models.
DSL1 prototype
DSL1 - multifunctional probe-based laser system for cancer screening, diagnosis and intraoperative surgical guidance.
Deep learning neural network is trained to identify the following types of cancer:
Deep learning neural network is trained to identify the following types of cancer:
- Skin
- Oral
- Breast
- Stomach
- Colon
- Prostate
Pre-clinical trials have shown a skin-cancer diagnostic, bladder cancer diagnostic, oral and thyroid cancer diagnostic accuracy rate of greater than 95%, higher than any other competing technologies that have attempted to achieve a similar clinical outcome.
DSL2 prototype
DSL2 - portable multispectral skin cancer diagnostics device with integrated Neural Network.
DSL2 is a compact non-invasive user-friendly real-time home tracking laser device operating in the visible near IR light spectra for diagnosis of earlier skin cancer. Neural Network is integrated into DSL2 and able to identify three main types of skin cancer: basal cell carcinoma, squamous cell carcinoma and malignant melanoma.
DSL2 is a compact non-invasive user-friendly real-time home tracking laser device operating in the visible near IR light spectra for diagnosis of earlier skin cancer. Neural Network is integrated into DSL2 and able to identify three main types of skin cancer: basal cell carcinoma, squamous cell carcinoma and malignant melanoma.
