Company Website: https://abcured.com
Company Email: info@abcured.com
Employees: 3
Funding State: Pre-Seed
Industries
- Life Sciences (MedTech, HealthTech, BioTech)
Technology
- AI
- Data Analytics - Big Data
- Diagnostic/Imaging
- Other
Business Model
- B2B
- B2G
Revenue Model
- Price per Item
Funding Sources
- Angel
- Self
About
ABCureD P.C. is a spinoff company of Democritus University of Thrace in the biotech sector. We are using state of the art AutoML to discovery novel Biomarkers for diseases, like diabetes, using an innovative minimally invasive method called Liquid Biopsy.
Solution & Product
ABCureD P.C. offers a laboratory test for pancreatic cell loss monitoring in Diabetes. The solution we propose is based on an innovative minimally invasive method for the diagnosis of prediabetes and the prediction and monitoring of T2DM. The ABCureD research team has developed a method that shows high sensitivity and accuracy in detecting pathological manifestations of T2DM – the highest reported in the literature (proof-of-concept). We focus on circulating DNA (ccfDNA), a liquid biopsy biomaterial that reflects epi/genetic features of a pathological tissue. Specifically, the method uses a machine learning model, incorporating pancreatic β-cell gene methylation patterns and selected patient demographic data. The test is performed on a blood sample and implemented in the laboratory with a technique based on PCR and accompanied by a smart easy-to-use application. The treating physician is informed with a score that reflects the extent of pancreatic damage (currently not possible with any other test), based on which he will make informed decisions about individualized management, as well as patient awareness.
Innovation & Scalability
Our invention combines three unique innovative elements for the first time in the field of diagnosis of prediabetes and the prediction and monitoring of T2DM, namely liquid biopsy, methylation biomarkers, automated machine learning (autoML). The autoML predictive model built based on our laboratory results demonstrates the highest performance than any other previously reported or used generally in diabetes entities (AUC of 0.927 (95%CI 0.874 - 0.967) discriminating T2DM from health and average Precision of 0.951 (95% CI 0.914 - 0.980). The superiority of our model relies on: a. the autoML feature selection of a combination rather that a single methylation biomarker, b. the use of liquid biopsy mirroring the pancreas, c. the combination of epigenetic with other patient features.
Traction & achievements
An EPO/WIPO patent application has been filed and is currently under consideration, entitled “Method for monitoring pancreatic beta-cell destruction in disease prediction/diagnosis/prognosis of type 2 Diabetes Mellitus’ (EP21386030, PCT/EP2022/000048 filing date 20/5/2022). Initial EPO feedback was positive. Inventors are members of the present consortium (Prof E Chatzaki, Prof. I Tsamardinos, Dr. M Karaglani), the rights belong to Democritus University of Thrace and there is a license agreement with ABCureD.
Team & Why Us
Board of Directors | Co-Founder | Ekaterini Alexiou - Chatzaki, Prof. Pharmacology, DUTH Board of Directors | Dimitris Bertsimas, Prof. Sloan Sch. Management, MIT CEO | Mila Ristic-Lehmann, PhD Chem. Eng., PSU; MBA, MIT COO & Co-Founder | Theodosios Theodosiou, PhD Bioinformatics, DUTH CTO diabetes |Makrina Karaglani, PhD Molecular Biology, DUTH CTO cancer | Maria Panagopoulou, PhD Molecular Biology, DUTH
Funding Needs
SHORT-TERM NEEDS: Pre-seed (400,000-600,000€) used for Professional branding & marketing and show ABCureD capital to request EU and National funding LONG-TERM NEEDS (3,000,000€) used for Company development (marketing, market penetration, customer relationships, etc.), Business development, Patent applications and maintenance, Access to AI - AutoML platforms, Participation in competitive EU and National funding programs
A laboratory test for pancreatic cell loss monitoring in Diabetes