Neuroblastoma and Diffuse Intrinsic Pontine Glioma (DIPG) pose significant challenges in #pediatriconcology, requiring precise diagnostics and treatment decisions. Quibim's advanced imaging solutions and collaborative research efforts are making significant strides in improving the diagnosis and treatment of pediatric cancers, such as Neuroblastoma and DIPG. Primage Project is born from the collaboration between top research and academic institutions and Quibim. This project leverages Predictive In-silico Multiscale Analytics to support personalized cancer diagnosis and prognosis, empowered by imaging biomarkers. Click to discover the outcome of our latest case study: https://bit.ly/3Yo0x1m #MedicalImaging #ClinicalResearch #PrecisionMedicine #ClinicalStudy
At Quibim, we're dedicated to pushing the boundaries of medical imaging research and innovation. QP-Discovery® platform serves as the gateway to unlock new insights and accelerate discoveries in #clinicalstudies with imaging as its foundation. By seamlessly linking imaging data with electronic health records, it empowers our customers and partners to augment their analytical capabilities and to extract new diagnostic, predictive and prognostic imaging biomarkers, fueling advancements in medical research and #patientcare. As our Project Manager Sarah Vizel Genco states, with advanced analytics and seamless collaboration, we drive innovation and discovery, ultimately leading to improved patient outcomes. Together, we can unleash the full potential of medical imaging and transform the future of #healthcare.
📚 Dive deeper into this new and exciting research on diffuse large-B cell lymphoma (DLBCL) treatment prediction! Our study aims to transform #personalizedmedicine by identifying patients who may not respond optimally to the standard front-line therapy. In our pioneering research, we evaluated the predictive power of 18F-FDG PET/CT imaging in synergy with #clinicaldata and #genomicparameters, separately and in combination, to anticipate a patient's complete response to treatment. The power of this approach lies in the unique blend of radiomic features, clinical variables, and genomic data. This means that even in settings where genetic assessments are cost-prohibitive, our model can identify high-risk patients who might be ideal candidates for alternative therapeutic paths. This landmark study is a significant leap forward in personalized #cancercare, enabling us to predict patients' responses to treatment better. This capability paves the way for more targeted and effective treatment strategies. We invite you to explore the full paper here for a deeper dive into our research and its transformative potential in DLBCL treatment. Explore the full paper here https://lnkd.in/gzA_UR8N #CancerResearch #Radiomics #DLBCL #TreatmentPrediction
On this #WorldHepatitisDay, let's envision a future where monitoring chronic #liver disease no longer requires painful biopsies. Hepatitis is a global public health challenge that affects in total over 350 million people worldwide and that can lead to severe liver damage, cirrhosis, and even #livercancer. By prioritizing prevention, early diagnosis, and non-invasive, accurate monitoring, we can significantly reduce the burden of hepatitis and improve the lives of millions of people. At Quibim, we are committed to advancing #liverhealth through innovative technologies and solutions. Through non-invasive methods like medical imaging and #machinelearning, we aim to enhance early diagnosis and personalized treatment to improve #patientcare. Let's unite in our commitment to liver health! https://bit.ly/3q0uOXD
🔍Discover how #AI is transforming the early detection of #ColonCancer. We've created a #machinelearning-based predictive model that identifies localized #cancer relapse at early stages. This advanced technology combines clinical and imaging #data to yield promising results in recognizing early relapse indicators. Join us on this scientific journey that holds the potential to save lives and elevate the quality of #PatientCare for those battling colon cancer. #PrecisionMedicine #EarlyDetection
With the objective of developing an #AI algorithm to advance understanding, diagnosis, and treatment selection for metastatic #cancer patients, Dipcan aims to transform the landscape of personalized medicine in cancer. Specialized in medical imaging, Quibim plays a crucial role in this project as our advanced algorithms extract imaging biomarkers that unlock hidden patterns and predictive models, enhancing medical insights and enabling #precisionmedicine. Read here the full blog written by our Data Scientist Carmen Prieto de la Lastra https://bit.ly/3Y9j0yA
🔒 The security of our #data is our top priority at Quibim. From the time of upload to final report generation, we ensure robust protection. With an ever-evolving threat landscape, we implement state-of-the-art security controls and processes to maintain data privacy and integrity. ✅ We are ISO 27001 certified, ensuring encryption of information during storage and transfer, even at the archive level. ✅ Compliance with HIPAA and GDPR is maintained for data processing and storage. You can trust us, as we make sure to use the secure and unlimited data storage capabilities offered by the Microsoft Azure cloud platform. To learn more about our #datasecurity measures, download our brochure on our website https://bit.ly/3OrTBwX
Early detection matters! #Earlydetection is crucial in improving patient outcomes. Medical imaging plays a key role in spotting abnormalities that may indicate underlying diseases. At Quibim, we're at the forefront of AI-enabled #precisionmedicine. Our cutting-edge algorithms and advanced analytics empower healthcare providers with the tools they need to identify diseases sooner and deliver better #patientoutcomes. Together, we can make a positive impact on the future of medicine. #Quibim #MedicalImaging #HealthcareInnovation
Our team at Quibim has been involved in a groundbreaking multinational retrospective study that analyzed over 2,800 chest CT scans from suspected or known COVID-19 patients across 20 prestigious European institutions. 🌍 The study focused on developing an advanced diagnostic model using cutting-edge #deeplearning techniques. The diagnostic model demonstrated high accuracy in detecting COVID-19 cases and showcased moderate segmentation performance. ⚕At Quibim, we are proud to be at the forefront of #medicalimaging technology. We have a strong commitment to developing innovative solutions that revolutionize #healthcare. To learn more about this #research and its implications for the medical imaging field, check out the full article here 📚 https://bit.ly/43u8Ycv
Machine learning, a subset of artificial intelligence (#AI), is often perceived as an intricate concept. However, at Quibim, we strive to simplify and democratize its application in the healthcare sector. #Machinelearning empowers computers to learn from, reason over, and make informed decisions based on #data. Quibim leverages #deeplearning algorithms to extract meaningful insights from complex medical images, facilitating faster and more precise diagnoses. In healthcare, AI has the potential to revolutionize #patientoutcomes by providing more effective treatments, and Quibim stands at the forefront of this technological revolution. Join us to discover how we can enhance the efficacy of medicine and, in turn, patient well-being. https://quibim.com/ #healthcareinnovation #digitalhealth
