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Have you heard about our newsletter 📩 This quarterly update covers topics like these: 🩺 Latest news about our newest products: QP-Insights and QP-Liver. 🤝 A new collaboration with Merck focused on the power of imaging biomarkers to predict cancer patients' responses to immunotherapy. 📚 Our latest book: "Fundamentals of image processing: facts and challenges of data harmonization to improve radiomic reproducibility", edited by our VP in Clinical Studies, Fuensanta Bellvís Bataller, and Quibim's CEO and founder, Dr. Ángel Alberich-Bayarri, addressing the complexities of radiomics reproducibility and data harmonization. 🌐 Insights on our participation in events such as #ECR2024 or #TechTour Top 50. 💻 A direct link to our most recent webinars. Are you curious? Read everything here ➡️ https://bit.ly/3Q0jsfT and join our newsletter to not miss out on anything: https://lnkd.in/dkXdk3AU. #HealthInnovation #PrecisionMedicine #DigitalHealth
The CHAIMELEON Project consortium meeting is happening now in Pisa, Italy! 🌟 During this meeting with our fellow partners, we discussed the project's latest progress, shared perspectives on the upcoming challenges, and reflected on the great success of one of our latest actions: the Chaimeleon Open Challenges. This initiative focuses on the critical importance of data harmonization, quality assurance, and ethical standards and how it has transformed the concept of #medicalimaging and will continue to do so. As project technical managers, we are proud to be part of this EU-wide initiative along with other leading companies in the industry. Stay tuned to be the first to know about new updates on the project! #EUProjects #CancerCare #AIInHealthcare
🔔 'Prostate Cancer Detection Powered by AI', Quibim's new in-depth webinar, is happening today! This is the perfect opportunity to discover how #AI can improve workflow and patient outcomes by supporting #ProstateCancer diagnostics. 🕧 12:00-12:45 CET 💻 LinkedIn event hosted by Human Bytes Featured speakers: 👤 Dr. Kai Vilanova MD, PhD 👤 David Bazaga, Product Lead at Quibim You still have time to sign up! Click here to register: https://bit.ly/3VGfahz #PrecisionMedicine #HealthcareInnovation
🌎 The #WorldHealthDay24 theme, "My Health, My Right," underscores the importance to guaranteeing access to the best health services, education, and information as an essential right for all. Concepts such as radiomics, machine learning, and #AI are more important than ever to achieving this change. Thanks to them, we can move from subjective interpretation to precise and quantitative analysis and integrate hashtag#data from other techniques. This lets us personalize treatment strategies thanks to a comprehensive view of the pathology. Furthermore, it leads to savings in healthcare resources and maximization of #healthcare professionals' time and workflow. ⚕ The present and future of medicine include two words: precision and personalization. Refining disease management from a sophisticated and multidimensional imaging perspective could be critical for diagnosis, treatment, and prognosis and embodies this year's World Health Day theme. They empower us to make informed decisions about our medical care, advocating for policies and practices that ensure access to superior health services for everyone.
During #ECR24, when asked about the role of #AI-powered tools such as Quibim, Dr. Patricia Andrea Gutierrez, GU #radiology specialist at the hospitals of Dunkerque and Lille (France), had a clear answer: "As an international doctor working in different countries, I think AI homogenizes the reporting and expedites workflow for doctors. If we all speak the same language with the interactive tools for automatic reporting, and if we all use the same tools in the same centers, we will all have the same reporting quality." Watch the full interview in Diagnostic Imaging Europe's most recent video! ⬇
🏆 Our CEO & Co-Founder, Dr. Ángel Alberich-Bayarri, has been recognized with the Mutual Engineering Foundation Award for his outstanding contributions to sustainable social development through engineering excellence. Under his guidance, our company has achieved worldwide recognition for developing pioneering #AI techniques for medical image analysis, which has positively impacted patient outcomes. Congratulations on this well-deserved recognition!
🔒 When it comes to the security of patient #data, it is important to differentiate between the concepts of anonymization and pseudonymization. 👤 What are the differences between these two methods of data processing? The key is to understand the concept of #personaldata and what it refers to. ➡ Pseudonymization: processing data in such a manner that personal data can no longer be attributed to a specific data subject without the use of additional information. This information needs to be kept separately, subject to technical and organizational security measures. Pseudonymized data is classified as personal data and is subject to data protection regulations compliance. ➡ Anonymization: processing of personal data that renders the data anonymous in such a manner that the data subject is not or no longer identifiable. Data protection principles do not apply to anonymous information. At Quibim, we place data protection at the forefront of our operations. We meticulously adhere to data protection and privacy standards, including GDPR and HIPAA, to ensure the utmost security of personal data.
In the latest episode of APEX Ventures' "Ask The Expert" they interviewed our CEO and Co-Founder Ángel Alberich-Bayarri. Within some of the highlighted topics, they talked about: 💊 AI's crucial role in medical imaging for drug development. 👩⚕️ AI in diagnostic imaging lightening clinician workload. Don't miss this interesting conversation and read the full interview!
The winners of the #ChaimeleonOpenChallenges have been decided! 🏆 On behalf of the entire Quibim team, we wanted to congratulate the winners and give a big thank you to all the participants for joining this exciting project 🌟 #PrecisionMedicine #DigitalHealth #AIInHealthcare
At Quibim, our objective is to profoundly improve patient outcomes by accurately identifying clinically significant #cancer. One of the most prominent characteristics of AI's efficiency lies in its ability to provide actionable information without overloading the healthcare system. By training our #AI models for csPCa detection on pathology data, we achieved a remarkable balance of high sensitivity, low false positive rate (FPR) per case, and high negative predictive value. These sophisticated tools allow radiologists to standardize their reporting criteria, decreasing dependence on individual experience levels. Our latest blog https://bit.ly/3vBn2pS examines the complexities of developing and validating AI algorithms in prostate MRI to detect #ProstateCancer, exploring the challenges and best practices in this evolving journey. As time progresses, these tools will become essential for safe medical practice by default.
