kaiko.ai

🎯We're excited to join the Digital Pathology & AI Congress in London this week, December 11-12! Don't miss our Product Lead Roman Moser's presentation "From Research to the Clinic: Bringing Foundation Model Capabilities into Pathology Practice" - Wednesday, December 11, 1:00-1:15 PM in the Imaging AI & Digital Image Analysis track. You can also visit us at booth # 29, where you can: 🔬 Discover how foundation models are transforming digital pathology 🤝 Meet our team of ML experts and regulatory specialists 💡Learn about our latest developments in bringing AI to clinical practice Our team on-site: Roman Moser, Product Lead Jasper Linmans, Senior ML Engineer Sam Thomas, Chief of Staff Xiaoli Gou, Head of Regulatory Affairs and Quality Assurance Let's discuss how AI is shaping the future of pathology! #DigitalPathology #DigiPathLondon #AIHealthcare

🎯Join kaiko.ai at the 4th Annual Stanford AI+HEALTH Conference next week! Our CTO Robert Berke will share insights on developing a comprehensive multimodal foundation model for oncology during the AI+Health Startup Spotlight session on December 10th (21:45 - 23:00 CET | 12:45 - 2:00 PM PT). The conference brings together leading minds in healthcare AI from Stanford and beyond, exploring real-world applications and innovations that are shaping the future of medicine. From foundational AI advances to clinical implementation, the program offers a comprehensive look at how AI is transforming healthcare. Join us alongside speakers from Stanford University, Kaiser Permanente, Providence, and other pioneering institutions as we dive deep into the technical challenges and opportunities in healthcare AI. Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI) #AIHealth #StandfordAI #AIHealthConference

Inspired to hear the story of our colleague, Veerle Struben, presenting in front of AI network of STZ. Thank you for sharing the story of kaiko.ai as well!

Reflecting on BioTechX 2024 in Basel! 🎉 The convergence of AI and healthcare is gaining momentum, and we’re excited to contribute to this dialogue. Key highlights: - The “Big Data in Oncology” track showcased diverse perspectives on data extraction, structuring, and clinical applications. Our CEO, Thomas Hufener, presented on “AI-Powered Multimodal Clinical Intelligence: The Next Frontier in Precision Oncology,” emphasizing the need for clinical collaboration. - Despite the AI buzz, many companies still focus on traditional machine learning, with foundation models in healthcare just starting to gain traction. AI's ability to integrate genomic data with clinical data (imaging, pathology, and patient records) is crucial for enhancing cancer care decisions. - Clinical collaboration remains vital, yet many AI initiatives prioritize upstream applications (e.g., drug discovery) due to hospital complexities. - Emerging trends include: - Real-time treatment monitoring using multimodal data - Enhanced diagnostics through AI-augmented imaging and genomics - A shift towards preventive care and risk prediction - Growing recognition of the gap between AI's potential and its current implementation in clinical settings. We’d like to especially acknowledge the professionals we were fortunate to connect with and learn from, including Philipp Pauli, Christophe Dufour, Georgia Chan, Jean-Pierre Hubaux, Jacob Reimers, Jon Teague, Shayoni Dutta, Mieke Van Hemelrijck, Mike Rossi, Karl Smith Byrne, and Carian Boorsma, PhD. A big thank you to everyone we connected with at BioTechX—your insights have inspired and energized us for the possibilities ahead! #BioTechX #AIinHealthcare #AIOncology

Last week, our CTO Robert Berke took the stage at the AI+X Summit in Zurich, presenting on ‘Multimodal Foundation Models in Oncology: From Research to Clinical Impact.’ It was inspiring to see so much interest in the transformative potential of foundation models in oncology care. We are also happy about the valuable feedback and insights we received from the attendees, helping us with future product development.

Only one days left until Kaiko team arrives in Basel for BioTechX! We’re excited to join some of the most innovative brands in the health and medical tech fields, including Tempus AI, Gilead Sciences, Owkin, and AstraZeneca. Want to discuss the future of cancer care? Book a meeting with us during BioTechX: https://lnkd.in/eAHkSaDR #BioTechX #BioTechX2024 

Dutch Health Minister Fleur Agema believes AI could halve healthcare's administrative burden by 2030. At kaiko.ai, we share her optimism—and see even greater potential. We're starting with the foundations. In collaboration with The Netherlands Cancer Institute and other partners, we’re using AI to streamline patient consultation preparation. Our platform extracts key information from medical records and referral letters, with the goals of saving doctors time and improving overall care quality. But that’s just the beginning. We’re pushing towards true multimodality in oncology. Imagine AI that can analyze not only text but also images and genetic data. We want to give cancer specialists the power to view, combine, and analyze all types of oncology data through AI. This isn’t just about efficiency; it’s about uncovering new insights. It’s about more accurate diagnoses and personalized treatments. It’s about empowering doctors to continuously learn and accelerate research. In short, it’s about better outcomes for cancer patients worldwide. What do you think? Can multimodal AI transform healthcare? We’d love to hear your thoughts. Het Financieele Dagblad #AIinHealthcare #HealthcareInnovation #HealthTech 

Robert Berke, Kaiko CTO, is presenting in the upcoming AI+X Conference in Zurich.

We're #hiring a People Business Partner to join our team in Amsterdam.

We’re excited that our team members Mark Romme, Jade Yu Tseng, and Dang Nguyen will be representing Kaiko at Ray Summit in San Francisco, happening September 30 – October 2. At the summit, Mark will discuss how Kaiko leverages Ray in our model development cycle to iterate multimodal oncology foundation models in the clinic. His talk will explore how we combine pre-trained large language models (LLMs) with Vision Transformers (ViTs) to empower pathologists to make faster, more accurate diagnoses. He’ll also dive into our process for deploying and serving the model in clinical research settings, focusing on its real-time data processing and rigorous validation capabilities. Attending Ray Summit? We'd love to connect! Feel free to reach out or stop by our session to learn more about how we’re advancing oncology care with AI.