OUR RESEARCH
Mini-organs, real insights: BIOLOGICAL TWIN
Human biology, engineered for discovery.
AI-TWIN leads the way in organ on-chip innovation, accurately replicating the intricate complexity of various pathophysiological conditions using patient-derived cells, 3D architecture and microfluidic systems. These platforms advance preclinical research across a spectrum of fields, including but not limited to autoimmune diseases and it play a pivotal role in advancing animal-free drug testing methodologies.
Living Data,
Predictive Power:
DIGITAL TWIN
Human biology, translated into prediction
AI-TWIN develops AI-driven Digital Twin that integrate clinical data, multi-omics profiles, and organ-on-chip outputs to create dynamic virtual models of biological systems. The combination of experimental and computational approaches allows to capture and predict disease mechanisms and treatment responses over time, supporting more accurate patient stratification, treatment optimization, and data-driven precision medicine.
MISSION
To redefine preclinical research by bridging biological and digital innovation.
AI-TWIN’s research is patient-centered.
We generate Biological Twins from individual patient cells obtained through tissue biopsies.
We develop advanced autologous organ-on-chip platforms to create a personalized Biological Twin as a complex, human-relevant 3D model.
These systems produce high-quality, multi-dimensional data through multi-omic analyses and advanced imaging and sensor technologies.
Our unique approach lies in coupling Biological Twins with Digital Twins: computational models powered by AI that integrate and interpret biological data to predict disease progression and therapeutic response.
AI-TWIN creates a powerful platform for personalized medicine, enabling more accurate drug testing, reducing reliance on animal models, and accelerating the development of effective therapies.
OUR PRODUCTS
AI-TWIN enable reproduction of a Biological twin of the patient, starting from a patient biopsy, and use them to identify the most effective therapy for that patient in a fast, safe and ethical way.
Our organ-on-chip are integrated with imaging systems and sensors that read, in real time, chemical and mechanical variations of the newly generated tissue in culture. Obtained data are processed with artificial intelligence techniques, creating a Digital Twin, a synchronous virtual representation of the model.
JOINT-ON-CHIP
.
An in-vitro platform that reproduces the complexity of a whole joint to study physiology, disease, and therapeutic responses.
SYNOVIUM
-ON-CHIP
A model of the synovial membrane used to investigate its function, signalling, and role in joint disorders.
OSTEOCHONDRAL
-ON-CHIP
A system that mimics the cartilage–bone interface to explore tissue interactions, degeneration, and regeneration.
VESSEL-ON-CHIP
.
A microfluidic model of blood vessels designed to study vascular function, inflammation, and drug delivery.
UNIQUE CHARACTERISTICS
GET INSPIRED BY OUR APPLICATIONS
SCIENTIFIC COLLABORATIONS
FLAMIN-GO
From pathobioLogy to synoviA on chip: driving rheuMatoId arthritis to the precisioN medicine Goal
Funded by: European Union’s Horizon 2020 research and innovation programme
TWINs4RA
Synovium’s biological and digiTal twin on a chip vascularized and analyzed via Webcam in the transition towards the P4 medicine to treat Rheumatoid Arthritis – call for proposals for academic Proof of Concept, PoC, within the North West Digital and Sustainable, NODES, ecosystem, of the National Recovery and Resilience Plan, PNRR.
Funded by: Italian Ministry of University and Research
INNDIANA
Autologous synovia-on-chip: a sustainable preclinical model for drug discovery and clinical trials on chip for Rheumatoid arthritis – call for proposals for academic Proof of Concept, PoC, within the North West Digital and Sustainable, NODES, ecosystem, under SPOKE 5 – Industry of Health and Silver Economy, of the National Recovery and Resilience Plan, PNRR.
Funded by: Italian Ministry of University and Research
OUR RESEARCH
Mini-organs, real insights: BIOLOGICAL TWIN
Human biology, engineered for discovery.
AI-TWIN leads the way in organ on-chip innovation, accurately replicating the intricate complexity of various pathophysiological conditions using patient-derived cells, 3D architecture and microfluidic systems. These platforms advance preclinical research across a spectrum of fields, including but not limited to autoimmune diseases and it play a pivotal role in advancing animal-free drug testing methodologies.
Living Data, Predictive Power: DIGITAL TWIN
Human biology, translated into prediction.
AI-TWIN develops AI-driven Digital Twin that integrate clinical data, multi-omics profiles, and organ-on-chip outputs to create dynamic virtual models of biological systems. The combination of experimental and computational approaches allows to capture and predict disease mechanisms and treatment responses over time, supporting more accurate patient stratification, treatment optimization, and data-driven precision medicine.
OUR PRODUCTS
AI-TWIN enable reproduction of a Biological twin of the patient, starting from a patient biopsy, and use them to identify the most effective therapy for that patient in a fast, safe and ethical way.
Our organ-on-chip are integrated with imaging systems and sensors that read, in real time, chemical and mechanical variations of the newly generated tissue in culture. Obtained data are processed with artificial intelligence techniques, creating a Digital Twin, a synchronous virtual representation of the model.
JOINT-ON-CHIP
.
An in-vitro platform that reproduces the complexity of a whole joint to study physiology, disease, and therapeutic responses.
SYNOVIUM
-ON-CHIP
A model of the synovial membrane used to investigate its function, signalling, and role in joint disorders.
OSTEOCHONDRAL
-ON-CHIP
A system that mimics the cartilage–bone interface to explore tissue interactions, degeneration, and regeneration.
VESSEL-ON-CHIP
.
A microfluidic model of blood vessels designed to study vascular function, inflammation, and drug delivery.
UNIQUE CHARACTERISTICS
Get inspired by our applications
SCIENTIFIC COLLABORATIONS
FLAMIN-GO
From pathobioLogy to synoviA on chip: driving rheuMatoId arthritis to the precisioN medicine Goal
Funded by: European Union’s Horizon 2020 research and innovation programme
TWINs4RA
Synovium’s biological and digiTal twin on a chip vascularized and analyzed via Webcam in the transition towards the P4 medicine to treat Rheumatoid Arthritis – call for proposals for academic Proof of Concept, PoC, within the North West Digital and Sustainable, NODES, ecosystem, of the National Recovery and Resilience Plan, PNRR.
Funded by: Italian Ministry of University and Research
INNDIANA
Autologous synovia-on-chip: a sustainable preclinical model for drug discovery and clinical trials on chip for Rheumatoid arthritis – call for proposals for academic Proof of Concept, PoC, within the North West Digital and Sustainable, NODES, ecosystem, under SPOKE 5 – Industry of Health and Silver Economy, of the National Recovery and Resilience Plan, PNRR.
Funded by: Italian Ministry of University and Research
Ai-Twin srl
Sede legale e operativa
C.so Trieste, 15/A – 28100 Novara (NO)
C.F./P.IVA 02722210032
SDI SUBM70N
WHERE TO FIND US