New Diagnosis
Early Detection
More Accuracy
Years Experience
The medical history of patients and the data fusion of extracted features from ocular imaging through the developed deep learning algorithms with CNN class provide accurate and fast medical results for screening, diagnosing, and treating hepatobiliary diseases.
Early diagnosis prevent serious illness or turning into critical illness.
Safe healthcare technology has reshaped the process of treatment.
Multispectral fundus imaging improves the extraction capability.
affordable patient access to effective diagnosis and treatments.
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Next BioTek using advance technology and such technology in healthcare has reshaped the process of diagnosis and treatment. Our Next Generation of Biomedical Technology deliver an experience that is simple and easy to use.
The categorizing ability for hepatobiliary and gastrointestinal diseases is the main feature. In addition Deep Learning Artificial Neural Networks in the Class of CNN is the most important one that used by NBioTek.
Our smart algorithm adopt multi wave length imaging technique to improve the extraction of diagnostic features. Next BioTek use data fusion of ocular fundus and iris imaging with variable optical structure.
Yes, It can. Using non-invasive technique plus accuracy of NBiotech device improve the extraction of diagnostic features and finally makes awareness about the signs of liver cancer in early stage.
Next BioTek utilizes an advanced imaging technique to acquire the desired features from the ocular, fundus, iris, and pupil, along with multi-wavelength lighting, which provides the capability of diagnosing liver disease with high accuracy and speed. The medical history of patients and the data fusion of extracted features from ocular imaging through the developed deep learning algorithms with CNN class provide accurate and fast medical results for screening, diagnosing, and treating hepatobiliary diseases.
Next BioTekNBioTekSmart BioTek
Learn MoreNext BioTek utilizes an advanced imaging technique to acquire the desired features from the ocular, fundus, iris, and pupil, along with multi-wavelength lighting, which provides the capability of diagnosing liver disease with high accuracy and speed. The medical history of patients and the data fusion of extracted features from ocular imaging through the developed deep learning algorithms with CNN class provide accurate and fast medical results for screening, diagnosing, and treating hepatobiliary diseases.
Next BioTekNBioTekSmart BioTek
Learn MoreNext BioTek utilizes an advanced imaging technique to acquire the desired features from the ocular, fundus, iris, and pupil, along with multi-wavelength lighting, which provides the capability of diagnosing liver disease with high accuracy and speed. The medical history of patients and the data fusion of extracted features from ocular imaging through the developed deep learning algorithms with CNN class provide accurate and fast medical results for screening, diagnosing, and treating hepatobiliary diseases.
Next BioTekNBioTekSmart BioTek
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Medical
Liver and eyes are interlinked with each other in various medical conditions... Read more
Health Technology
Multispectral fundus imaging significantly improves the extraction capability of medical features... Read more
Data Fusion
Data fusion of ocular fundus and iris imaging using variable optical structure... Read more
