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Detecting small malignant B-cell populations in the blood and bone marrow using machine learning
Our cutting-edge AI model combines supervised and clustering approaches to detect small pathological B-cell populations in blood and bone marrow samples. Key features include:
- Efficient identification of populations as small as 3% of total cells
- Differentiation of 6 B-cell neoplasms (CLL, MCL, HCL, FL, MZL, DLBCL)
- Ability to detect previously unnoticed secondary B-NHL clones
- Optimized for low false negative rate, enabling fast and automated screening
This AI-powered tool offers systematic, rapid analysis, making it an invaluable aid for clinical B-cell neoplasm flow cytometry analysis in your laboratory. You can download the poster here.
We closed our €3.7M round, led by Elaia Partners
End of May, we closed our seed round with Elaia Partners, heal capital and HTGF to bring precision diagnostics to immune medicine. Anne-Sophie Carrese says, about the deal: "We have been convinced by the founding team, composed of three former entrepreneurs from the same company, with three PhD profiles, at a stage where they are going to scale their go to market, which is coherent with our deep tech seed investment thesis", Managing Partner at Elaia Partners. See tech.eu's press release here.
hema.to is FDA compliant in record time ...
.. we've achieved FDA-compliance (as a class I device) less than four months after receiving our CE mark. This was made possible by the professionalism and dedication of our team, but in particular by our US regulatory partner QServe Group, and our contact Jennifer Hadfield (left in picture), and our EU regulatory partner Be-on-Quality. The picture shows Aleks and Jennifer registering our device; the following day the FDA sent us the good news.
Clinical study reveals hema.to is faster and better
We're incredibly proud to share that hema.to has been clinically validated in an international, four-center clinical study! Blood cancer diagnoses were made twice as fast and at clinical-grade when made with the help of our beautiful, easy-to-use decision-support software. You can download the press release here.
hema.to won the Medical Valley first prize ...
... at the Medical Innovation Night in Nürnberg, where we pitched hema.to in front of an audience an an excellent jury consisting of Medical Valley EMN e. V., Siemens Healthineers, aescuvest, GWQ ServicePlus AG, IONOS andFraunhofer IIS. We'll be using our E20k prize money to explore partnerships with GWQ and Siemens Healthineers.
hema.to receives its CE mark
... we are now compliant with the IVDD. We conform to ISO 13485 (quality management), ISO 14971 (risk management), ISO 62366 (usability), ISO 62304 (software life-cycle management) and IEC 82304 (health software).
Frequently Asked Questions
We currently offer a free demonstration account where you can explore the features and capabilities of hema.to. We also provide a training video where one of our experts demonstrates all details on how you can interact with our interface. Scheduling in-person sessions is also possible. You will have the opportunity to discuss your questions and needs and maybe find more suitable solutions for your laboratory.
Besides email support users can schedule a meeting with us to ensure they receive the assistance they need from the most suitable expert.
Yes, you can adjust the AI's suggestions with a few clicks. We have e.g. developed an easy-to-use tool which you can use to manually relabel cell types.
You can keep using your current cytometer / panel / workflow without changing anything. This feature together with hema.to's powerful analysis capabilities is unique in the market.
We currently have two products. Our hema.to BASE product (currently in development) only requires some dozen files per disease and automates single cell classification for your flow cytometry analysis. Our hema.to BNHL product (CE marked under IVDD) additionally provides diagnostic recommendations and therefore requires more files to be trained properly. We'll figure that out together.