Antibiotic resistance is a growing public health concern worldwide and is caused by misuse and overuse of antibiotics that are used for treating infections caused by bacteria.
We created Bitte to help clinicians to identify the type of bacteria which infected patients and chose appropriate antibiotics for better patient outcome.
This is a small and low-priced medical device that can be installed in emergency outpatient departments, intensive care units, and community clinics. Stain the patient sample on a slide glass and set it in PoCGS to complete the stained sample in a short time (10 minutes). The sample type(urine, sputum, etc.), reagent titration amount, staining time, etc. can be changed on the operation panel.
This system supports highly accurate bacterial species estimation using AI image recognition technology for Gram stain images, and the selection of appropriate antibiotics connecting with antibiograms.
It enables remote image diagnosis by connecting medical institutions and medical specialists in a cloud and web-based format. As long as Internet connection is available, any medical institution in the world can request an image reading from any specialist in the world who is connected to this platform. The specialist can read the images from anywhere in the world.
A dedicated device for smooth and stable connection between an optical microscope and a smartphone device.
Support for new business strategy planning and execution, and various related surveys and analyses. We also provide support for project management and other business planning operations.
We aim to provide highly reliable and professional information necessary for medical professionals and researchers in the field of infectious diseases, as well as services that support career development.