?? From Charité Berlin's 300-year legacy to AI pathology innovation: The Aignostics story In our new blog post, we are excited to share how Aignostics emerged from one of Europe's oldest hospitals and builds on Charité Berlin's legacy! Founded in 2018 and having grown to a diverse team of 120+, we are honored to continue tackling pathology's unique challenges with a goal of transforming drug development and improving patient outcomes with AI. Discover the historical threads connecting 300 years of medical progress to tomorrow's AI-driven healthcare solutions: https://lnkd.in/ekVTUcZj #aignostics #blog #digitalpathology #chariteberlin #ai #artificialintelligence #rudolfv #bih #dha
关于我们
Aignostics combines proprietary access to multimodal clinical datasets, industry-leading AI technologies, and rigorous science to develop best-in-class insights for the next generation of precision medicine. Through collaborations with its biopharma partners, Aignostics supports drug discovery, translational research, clinical trials, and CDx development across multiple therapeutic areas. Established in 2018, Aignostics is a spin-off from Charité Berlin, one of the world’s largest and most esteemed university hospitals. Aignostics is funded by leading VC investors and has operations in Berlin and New York.
- 网站
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https://www.aignostics.com
Aignostics的外部链接
- 所属行业
- 软件开发
- 规模
- 51-200 人
- 总部
- Berlin，Berlin
- 类型
- 私人持股
- 创立
- 2018
- 领域
- artificial intelligence、pathology、digital pathology、oncology、immuno-oncology、auto immune disease、neurodegenerative disease、improving medicine、companion diagnostics、precision medicine、solutions、R&D、computational pathology、predictive、deep learning、software engineering、translational research、target identification、healthcare和biomarkers
地点
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主要
获取路线
Alt-Moabit 73
DE，Berlin，Berlin，10555
Aignostics员工
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Edwin D. de Jong
Principal ML Scientist @ Aignostics | AI for healthcare
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Nahuel Castro
Senior Frontend Developer
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Oliver Reuss
Executive Director / Investment Manager at Boehringer Ingelheim Venture Fund; Board of Directors at Dopavision, Perfood, Brainomix, Aignostics, C-mo,…
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Gerald Moeller
Chairman mult
动态
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Proud to share our latest paper on Clever Hans effects in unsupervised learning. Congratulations to Aignostics team members Jonas Dippel and Lukas Ruff! #aignostics #paper #publication #machinelearning #ai #explainableai
Paper Highlight: Explainable AI reveals Clever Hans effects in unsupervised learning models (Nature Machine Intelligence) The Hidden Domino Effect A team of BIFOLD researchers discovered that foundation models such as GPT, Llama, CLIP etc., trained by unsupervised learning methods, often produce compromised representations from which instances can be correctly predicted, although only supported by data artefacts. In a Nature Machine Intelligence publication the researchers propose an explainable AI technique that is able to detect the false prediction strategies. Read more: https://lnkd.in/dur6D8v7 Image: Example of images that were correctly identified as similar in different unsupervised foundation models, but based on an improper set of features.
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#MeetAignostics: Get to know Timo Nicolas Haschler, MSc, PhD, who manages projects on our Target and Biomarker Discovery team! ?????? Timo and his team work closely with clients to identify novel drug targets and biomarkers. Learn more about Timo on our blog, including a recent data challenge his team solved: https://lnkd.in/e9pCHN47 #aignostics #blog #targetid #biomarker #discovery #gettoknow
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We couldn't agree more that having access to reliable data is essential, and we are proud to collaborate closely with three of the top 25 World's Best Hospitals according to Newsweek! #1 Mayo Clinic #7 Charité - Universit?tsmedizin Berlin #23 Ludwig-Maximilians-Universit?t München We recently announced our latest collaboration with Mayo Clinic Digital Pathology, a new pathology foundation model developed using 1.2 million diverse slide images from Mayo Clinic and Charité – Universit?tsmedizin Berlin. Read more about it here: https://lnkd.in/e-hr_CC8
Having reliable and accessible data is essential when selecting a hospital for treatment. That’s why Newsweek is partnering with the global research firm Statista to present the World's Best Hospitals 2025. This year, 30 countries and 2,445 hospitals are featured in total—the most extensive and international edition to date. https://lnkd.in/gVG7x3AN
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Aignostics转发了
Join industry-leading AI experts Erez Kaminski, Founder & CEO of Ketryx, Helmut Hoffer von Ankershoffen, SVP Product & Engineering at Aignostics, and Frank Münzinger, Quality Manager at Aignostics, at the Medical Device Software Development Summit by Hanson Wade Group to learn how top medical device manufacturers are integrating AI across the total product lifecycle. ?? When: January 28, 9:30 AM CET ?? Where: Medical Device Software Development Summit, Munich Key topics include: ?? Reducing documentation bottlenecks to accelerate development cycles ?? Implementing systems of systems to enable component reuse and scalability ? Aligning with FDA guidance on AI-enabled devices through Total Product Lifecycle (TPLC) strategies Can’t attend in person? Leave a comment below and we’ll send you a recording of the session. #MedicalDeviceSoftware #AIInnovation #RegulatoryCompliance #MedTech #Ketryx
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Aignostics转发了
Mayo Clinic has unveiled Mayo Clinic Digital Pathology, a groundbreaking platform leveraging its extensive archive of 20 million digital slides and 10 million patient records to revolutionize diagnostics and accelerate medical breakthroughs. Collaborating with NVIDIA and Aignostics, the initiative combines advanced AI with Mayo Clinic’s expertise to develop innovative models that make diagnoses faster, more accurate, and efficient, driving advancements in precision medicine. Early successes include a foundation model built on 1.2 million de-identified slides, with plans to expand to additional datasets. By integrating diverse clinical data and deploying generative AI solutions, the platform is transforming diagnostic capabilities and improving patient care on a global scale. This effort marks a significant step in digitizing pathology practices, laying the groundwork for personalized medicine and setting a new benchmark for innovation in healthcare. Read the full article on Pathology News: https://lnkd.in/e25xNU8w #digitalpathology #pathologynews
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Thank you to MIT Technology Review for featuring #aignostics and #Atlas foundation model in the latest edition of their weekly newsletter. As the article notes, there are many technical challenges that come with developing foundation models for pathology. At Aignostics, we are confident that through our collaboration with Mayo Clinic, we are uniquely positioned to jointly lead in the space. Read our publication on the Atlas foundation model here: https://lnkd.in/e_-Hk667
Today in The Download, our daily newsletter: AI for cancer diagnosis, and HIV prevention
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Aignostics转发了
Mayo Clinic staff attended the 43rd Annual JP Morgan Healthcare Conference this week, unveiling groundbreaking initiatives that are transforming the future of healthcare. Stay informed about announcements like these and other important updates by subscribing to our e-newsletter: https://lnkd.in/g__cq3mC #healthcare #news #innovation #collaboration NVIDIA Microsoft Cerebras Systems Aignostics Find additional news here: https://lnkd.in/gUPyG3Sk
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Aignostics转发了
A #collaboration between Mayo Clinic Digital Pathology and Aignostics has successfully developed a highly efficient pathology foundation model for use in research and clinical development. Read more: https://lnkd.in/eVpw-7cw #healthcare #research #innovation James Rogers
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Aignostics转发了
Two impactful Mayo Clinic announcements unveiled at the J.P. Morgan Conference this week, both representing new paradigms in the future of patient care: 1) Mayo Clinic launches Mayo Clinic Digital Pathology to modernize pathology, speed medical breakthroughs: https://lnkd.in/gth3QHjV (cc: NVIDIA / Aignostics) 2) Mayo Clinic accelerates personalized medicine through foundation models with Microsoft and Cerebras Systems: https://lnkd.in/gE55X3zi
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