Science and Technology
Discover the power of lifespin’s AI-driven, deep data solutions for healthcare.
Our innovative AI platform leverages advanced metabolomics and NMR analysis to deliver precise, real-time health insights, revolutionizing personalized medicine.
The Digital Health Profile
Transforming blood samples into digital metabolomic profiles using AI models
lifespin’s technology centers around the generation of a digital metabolomic profile used to generate a precise, real-time representation of the individual patient’s health status. By leveraging advanced AI-driven metabolomics and NMR analysis, lifespin can transform blood sample data into actionable health insights.

Unlocking proactive health management
How it Works
From Sample Collection to Comprehensive Health Insights
lifespin’s technology transforms a small blood sample into comprehensive health insights using a simple workflow with sophisticated algorithms. Here’s how it works from sample collection to health report generation:

Sample Collection:
A small blood sample is collected from the patient.
NMR Analysis:
The blood sample is being scanned with NMR (Nuclear Magnetic Resonance) to capture quantitative and comprehensive metabolomic data in any laboratory globally.
Data Transformation:
The NMR data is processed to generate a quantitative list of test results for hundreds of parameters.
AI Analysis & Digital Profile Generation:
lifespin’s proprietary algorithms extract metabolomic information from the measurement data to construct the metabolomic profile.
Based on the metabolomic profile and associated metadata, lifespin’s proprietary AI-models generate the health status.
lifespin’s suite of AI models identifies disease-specific patterns and deviations in the metabolome.
Health Report Generation:
A detailed health report is generated, including the Health Compass and disease-specific scoring for preventive care, diagnosis, and accompanying treatment.
lifespin’s workflow ensures that each step is meticulously designed to provide accurate, real-time health insights, enabling proactive and personalized health management.
lifespin Cloud
Comprehensive and personalized health insights at your fingertips
lifespin Cloud offers a range of innovative features designed to provide comprehensive and personalized health insights for health professionals, clinicians and laboratories.
Key Features:
User-Friendly Interface:
Lifespin Cloud features an intuitive interface that allows healthcare professionals to easily navigate and utilize its tools, while enabling laboratories worldwide to access and apply lifespin’s technology.
Cyber-Security, Data Sovereignty, and Data Privacy at its Core:
lifespin cloud is hosted in the EU and follows strict cyber-security and data privacy guidelines with secure, isolated environment for every customer.
Direct connection via API:
Customers can connect their system directly via standard APIs for fully digital and seamless workflows.
Access all Lifespin products and reports easily:
Retrieve results directly from the Cloud and export them as standardized PDF or customized formats tailored to your needs.

Join the revolution in personalized healthcare.
Experience the power of AI-driven health insights and take the next step towards proactive health management.
Request a Demo:
See lifespin Cloud in action and discover how it can transform your approach to healthcare.
Sign Up:
Become a part of the lifespin B2B healthcare provider community and gain access to cutting-edge health insights.
Contact Us:
Reach out for more information or to discuss partnership opportunities.
The next wave of innovation – AI and Deep Data Integration
Harnessing advanced AI and vast data for precision health
AI-Driven Analysis:
Our AI models are trained using hundreds of thousands of NMR spectra to understand the complex patterns in metabolomic data.
The AI engine is fine-tuned for specific tasks such as for the assessment of general health, organ function, diagnosis of disease, disease staging, and treatment response.
Extensive Database
lifespin’s highly curated, proprietary database includes more than 275,000+ human profiles including healthy and diseases profiles representing more than 800+ diseases, providing a robust reference for health assessment and treatment monitoring.
Generative AI for Health Reports:
lifespin is building generative AI tools for detailed, personalized health reports.
lifespin’s AI and deep data integration ensures highly accurate, personalized, and actionable health insights, transforming the way health is monitored and managed.
Publications
Our interdisciplinary team of dedicated scientists can boast of various technical publications. In addition, several publications are in the pipeline. If you need further information, please do not hesitate to contact us.
2025
Elevated high-density lipoprotein levels following acute graft-versus-host disease onset: a potential link to T-cell dysfunction and increased relapse risk
Clinical and Translational Immunology 2025, 14: e70060
In this study, lipoprotein profiling* revealed that patients with acute graft-versus-host disease had elevated early post-transplant HDL levels, which were associated with delayed T-cell re-normalisation and increased effector-memory CD8⁺ T-cells, findings mirrored in vitro by HDL-induced reductions in healthy donor T-cell proliferation and activation, suggesting that high HDL may impair graft-versus-leukaemia efficacy through T-cell modulation and thereby increase relapse risk.
2025
Metabolic Phenotype and Gender May Predict Treatment Outcomes of Atezolizumab in Extensive-Stage Small Cell Lung Cancer
Translational Lung Cancer Research 2025, 14 (9).
In the study of Small Cell Lung Cancer it was found that women had the greatest survival benefit from adding atezolizumab medication, and that optimal BMI and uric acid levels, female sex, lower LDH, and specific metabolite profiles* may serve as predictors of better immunotherapy response.
2025
Dysregulation of amino acid and lipid metabolism in patients with spondyloarthritis
J Int Med Res. 2025
This study reveals that patients with spondyloarthritis (SpA), including ankylosing spondylitis and psoriatic arthritis, show distinct metabolic* changes—especially in amino acid and lipid metabolism—with glucose and glycerol levels helping to differentiate between the two conditions, offering new avenues for diagnosis and understanding disease mechanisms.
2025
Therapeutic Drug Monitoring of Piperacillin: Agreement between Quantitative Nuclear Magnetic Resonance Spectroscopy and Liquid Chromatography with Tandem Mass Spectrometry.
Clinica Chimica Acta 2025, 577, 120448.
In the study evaluating NMR* vs isotope-dilution LC–MS/MS for piperacillin measurement in plasma, the authors report good concordance (concordance correlation coefficient ≈ 0.895, slope ≈ 1.03, intercept ≈ –0.50 mg/L), a small negative bias (–0.85 mg/L), and wide limits of agreement (−18.67 to +16.97 mg/L), suggesting that NMR may be a promising alternative for therapeutic drug monitoring.
2025
Metabolomics for Distinguishing Cardiovascular Risk in Rheumatoid Arthritis Across Different Disease-Modifying Antirheumatic Drug Therapies.
J Clin Med Res 2025, 17 (2), 89–96.
In this study with 200 rheumatoid arthritis patients there were no clear metabolite* differences linked to disease activity or treatment, but that metabolic* abnormalities were strongly tied to cardiovascular risk factors — in particular, people reporting high stress (“distress”) showed abnormal histidine metabolism, suggesting histidine levels might serve as a biomarker of CV risk.
2024
Comprehensive Analysis of the Cerebrospinal Fluid and Serum Metabolome in Neurological Diseases.
Journal of Neuroinflammation 2024, 21 (1), 234.
Using NMR spectroscopy* and machine learning, this study analyzed 99 metabolites in cerebrospinal fluid and serum to accurately distinguish multiple sclerosis, Parkinson’s disease, and other neurodegenerative disorders—with Parkinson’s patients showing notably lower CSF propionic acid levels, highlighting a potential biomarker for diagnosis.
2024
An NMR-Based Metabolic Signature to Identify Clinically Significant Prostate Cancer in Patients Undergoing Biopsy.
The Journal of Clinical Endocrinology & Metabolism 2024, dgae704.
In a study of 1,078 men undergoing prostate biopsy, a metabolite* panel combined with clinical data improved detection of clinically significant prostate cancer (AUC 0.84 vs 0.73), with key metabolites like ornithine and dimethylglycine helping to better distinguish aggressive disease and potentially reduce unnecessary biopsies.
2023
Towards Clinical Application of GlycA and GlycB for Early Detection of Inflammation Associated with (Pre)Diabetes and Cardiovascular Disease: Recent Evidence and Updates.
Journal of Inflammation 2023, 20, 32.
In this study, researchers highlight GlycA and GlycB, two NMR-based biomarkers of low-grade inflammation*, as stable and reproducible tools that outperform traditional inflammatory markers in predicting cardiometabolic risk and may enable earlier detection of silent disease processes like cardiovascular disease and diabetes.
2022
Sufficient Potassium Supply Enhances Tolerance of Potato Plants to PEG-Induced Osmotic Stress.
Plant Stress 2022, 5, 100102.
This 15-week study showed that low potassium worsens osmotic (drought-like) stress in potato cultivars by triggering metabolic changes, while adequate potassium boosts growth and helps plants recover better—demonstrating potassium’s key role in drought resilience.
2022
Effects of Atherogenic Diet Supplemented with Fermentable Carbohydrates on Metabolic Responses and Plaque Formation in Coronary Arteries Using a Saddleback Pig Model.
PLOS ONE 2022, 17 (10), e0275214.
In this 15-week pig study, an atherogenic diet caused clear metabolic* changes and increased blood lipids compared to a conventional diet, but adding pectin or inulin didn’t improve metabolic profiles or reduce early-stage coronary plaque development, highlighting the diet’s strong impact despite fiber supplements.
2022
An Equine Model for Vaccination against a Hepacivirus: Insights into Host Responses to E2 Recombinant Protein Vaccination and Subsequent Equine Hepacivirus Inoculation.
Viruses 2022, 14 (7), 1401.
In an animal model study vaccination with the EqHV E2 protein did not prevent infection in ponies, but those vaccinated cleared the virus sooner, had lower viral peaks, recovered faster from liver damage, mounted earlier antibody responses, and showed quicker normalization of liver metabolism* and less sustained inflammatory activation.
2021
Cultivation Systems, Light Intensity, and Their Influence on Yield and Fruit Quality Parameters of Tomatoes.
Agronomy 2021, 11 (6), 1203.
This study shows that double-glazed greenhouses reduce tomato growth and quality due to lower light transmission, but adding LED interlighting can partially restore yield, improve metabolic composition*, hence sweetness, and nutritional value—highlighting how glazing and lighting choices directly impact both the quantity and quality of tomato production.
2021
Morphological and Metabolite Responses of Potatoes under Various Phosphorus Levels and Their Amelioration by Plant Growth-Promoting Rhizobacteria.
International Journal of Molecular Sciences 2021, 22 (10), 5162.
This plant breeding study showed that phosphorus deficiency causes huge drops in potato height and biomass (60‑80 %) plus metabolic stress* (big changes in sugars, amino acids, organic acids), but inoculation with plant growth promoting rhizobacteria boosted root & shoot growth, root length, and root surface area by ~ 32‑45 %, helping plants better cope with P shortage.
*Measured and Analyzed using lifespin Technology



