INNOVATIVE LIQUID BIOPSY METHOD USING LAB-ON-ACHIP TECHNOLOGY FOR CANCER DIAGNOSIS AND MANAGEMENT
JaxBio aims to revolutionize lung cancer diagnosis and treatment with LUMEN, a non-invasive liquid biopsy assay that detects cancer early and predicts treatment response using advanced DNA-chip technology.
Projectdetails
Introduction
JaxBio is a pioneering biotech startup company dedicated to transforming lung cancer diagnostics and treatment through innovative liquid biopsy and DNA-chip technology. Our team, comprised mainly of Ph.D. experts in cancer biology, data science, and technology development, is committed to addressing the critical challenge of early lung cancer detection and management.
The Urgency of Lung Cancer Detection
The global impact of lung cancer, claiming nearly 1.8 million lives annually, highlights the urgent need for advanced diagnostic solutions. Over 70% of lung cancer patients are diagnosed at advanced stages, resulting in poor prognosis and high mortality rates. Furthermore, approximately 50% of patients receive suboptimal treatment due to a lack of methods to predict treatment response rapidly.
Innovative Solution: LUMEN
JaxBio addresses these challenges with LUMEN, an innovative non-invasive liquid biopsy assay. This method employs a custom chip designed for ultra-sensitive detection of epigenetic signatures in cell-free DNA, complemented by an AI algorithm for identifying disease-specific biomarkers.
Key Features of LUMEN
- Early Detection: Our findings demonstrate LUMEN's ability to detect cancer early, even with extremely low tumor-derived DNA concentrations in the blood.
- Accuracy and Affordability: Eliminating the need for DNA sequencing, LUMEN offers unparalleled accuracy in cancer detection as well as affordability.
- Personalized Treatment Insights: It also provides valuable insights for personalized treatment approaches and early tumor recurrence detection.
Future Goals
With EIC support, our objective is to conduct clinical trials and complete the development of the lung cancer chip. This chip will serve as a companion diagnostic tool, predicting therapy response and assessing treatment effectiveness.
Conclusion
Our goal is to bring a clinically validated product to market, comprising reagents, chips, and analysis software, ultimately enhancing cancer care and patient outcomes.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.493.000 |
Totale projectbegroting | € 2.493.000 |
Tijdlijn
Startdatum | 1-11-2024 |
Einddatum | 31-10-2026 |
Subsidiejaar | 2024 |
Partners & Locaties
Projectpartners
- JAXBIO TECHNOLOGIES LTDpenvoerder
Land(en)
Vergelijkbare projecten binnen EIC Accelerator
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Best-in-class canceR dIaGnostic cHip for patient sTratification.The RUBYchip is a microfluidic liquid biopsy device that isolates and analyzes cancer cells from blood samples, enabling efficient and reliable monitoring of cancer progression. | EIC Accelerator | € 2.497.880 | 2022 | Details |
Facilitating personalised Lung Treatment Decisions through a Deeptech AI Clinical Decision Support SystemThirona's LungQ-Care project aims to develop an AI-driven clinical decision support system to enhance personalized lung treatment and streamline thoracic imaging analysis. | EIC Accelerator | € 2.499.999 | 2023 | Details |
iLoF: AI-augmented photonics to identify and quantify disease biomarkersiLoF is developing an AI-driven platform to create a personalized drug discovery tool for Alzheimer’s disease by analyzing biological samples for patient-specific signatures. | EIC Accelerator | € 2.495.850 | 2023 | Details |
Multi-omic data driven drug discovery and indication prioritisation platform in oncologymCUBE is an AI-driven platform aimed at enhancing precision oncology by harmonizing clinical data and multi-omic analysis to identify new drug candidates for licensing to pharma companies. | EIC Accelerator | € 2.495.788 | 2022 | Details |
Best-in-class canceR dIaGnostic cHip for patient sTratification.
The RUBYchip is a microfluidic liquid biopsy device that isolates and analyzes cancer cells from blood samples, enabling efficient and reliable monitoring of cancer progression.
Facilitating personalised Lung Treatment Decisions through a Deeptech AI Clinical Decision Support System
Thirona's LungQ-Care project aims to develop an AI-driven clinical decision support system to enhance personalized lung treatment and streamline thoracic imaging analysis.
iLoF: AI-augmented photonics to identify and quantify disease biomarkers
iLoF is developing an AI-driven platform to create a personalized drug discovery tool for Alzheimer’s disease by analyzing biological samples for patient-specific signatures.
Multi-omic data driven drug discovery and indication prioritisation platform in oncology
mCUBE is an AI-driven platform aimed at enhancing precision oncology by harmonizing clinical data and multi-omic analysis to identify new drug candidates for licensing to pharma companies.
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