Universitätsklinikum Bonn’s Post

Every breath we exhale 💨 contains vital data, composed of over 1000+ unique molecules. Making sense of this molecular fingerprint is 🤖 #AI’s next frontier, to unlock early detection of a wide range of diseases. Join us for the next idalab Seminar with Dr. Sven Jungmann (Halitus GmbH) to learn how his startup combines breakthrough laser technology with AI to teach computers how to smell. 🗓️ Tuesday, May 7th 📍idalab office, Potsdamer Str. 68, 10785 Berlin 18:30 Doors open 19:00 Talk starts 19:45 Drinks 👋🏾 Everyone's welcome 👉🏾 Few spots left 📫 Subscribe to our newsletter for priority invitation Register at idalab.de/seminars Abstract With every breath we take, we exhale over 1000 unique molecules. That means there’s data in the very air that we breathe. Having taught machines to ‘hear’ and to ‘see’, a sense of smell is AI’s next frontier, and it’s a vital one. The molecular fingerprint of a single breath can reveal early signs of diseases such as breast cancer and Parkinson’s, quickly, non-invasively and cost effectively. Yet accurately detecting breath molecules comes with a lot of technological challenges; and the race is on to find out which team gets there first. In his talk, Sven explains his breakthrough laser spectrometer technology and why hardware is hard; outlines his tactics for fundraising, and describes how a pivot towards explainable machine learning ultimately helped him to succeed. About the speaker Dr. Sven Jungmann, a medical doctor turned entrepreneur, is the founder and CEO of Halitus. Previously, he held various leadership positions in healthcare, including partner and Chief Medical Officer at FoundersLane and Chief Medical Officer at the first corporate venture of Helios. Sven is an active angel investor and recently published his second book, titled “Wie gesund wollen wir sein” (Mosaik). About the idalab Seminar The idalab Seminar is a bi-monthly event focused on Data & ML/AI in Life Science & Health, hosted at our office. Invited talk followed by drinks, and ample opportunity to connect with the Berlin ecosystem. Gregor Obernosterer Dr. Christoph Zindel #medtech #diagnostic #healthcare #machinelearning #data #artificialintelligence #deeptec

Beata builds teams for most of our healthcare customers. You really want to speak with her, if you plan to launch a healthcare project. From #genomics on cloud to social security platform, she will tell you how to navigate from zero to working platform. #nordic #data #AI #platform #healthcare #genomics

🤖 Today we have good news for you! For the future of healthcare a multidisciplinary research team at Gladstone Institutes, led by Senior Investigator Katie Pollard, PhD, has received a $5 million in funding in the fusion of computational biology and artificial intelligence (AI). Congratulations! This significant financial commitment could revolutionize healthcare, transforming medical research, diagnostics, and personalized treatment plans. Redefining Healthcare The synergy between computational biology and artificial intelligence is not just reshaping expectations; it's redefining the very fabric of patient care. Picture a world where accelerated drug discovery, precise disease diagnosis, and customized treatment regimens are not just ideals, but everyday realities. That future is now on the horizon, promising a new era of precision and efficacy in healthcare. Challenges Ahead This investment underscores a profound belief in the transformative potential of these technologies to make healthcare more accurate, efficient, and personalized. Yet, navigating this promising path, one must also be mindful of the challenges that lie ahead. Issues such as data privacy, ethical considerations, and the imperative for interdisciplinary collaboration are paramount. A Responsible Approach The venture into this new field is about harnessing the power of computational biology and artificial intelligence responsibly and fairly, and ensuring that advances in healthcare benefit all parts of society. #HealthcareInnovation #ComputationalBiology #ArtificialIntelligence #PrecisionMedicine

We're excited about the launch of the Dimensions Knowledge Graph that happened just last week in Boston & are looking forward to introducing this solution to the KGC community in May! The Dimensions Knowledge Graph is a large ready-made knowledge graph driving AI solutions in pharma and life sciences. Companies in these fields can now gain unparalleled access to an abundance of interlinked global research data covering around 350 million records, such as patents, clinical study reports, and publications, as well as public datasets and ontologies. Additionally, they can now use this knowledge in conjunction with the wealth of internal data they already possess — from internally conducted research to information captured in documents and presentations. On May 9 at 12:00 pm ET at #KGC2024, metaphacts GmbH founder & CSO Peter Haase, will be discussing how the Dimensions Knowledge Graph supports decision-making & trustworthy, explainable AI insights along the pharma and life sciences value chain, from target discovery, streamlining R&D processes to clinical trials. #AIhealth #lifesciences #datamanagement #healthtech #HCLS #knowledgegraphs #NYCtech #NYCevent #clinicaltrials #ontology #graphdatascience #pharma #bigpharma

On my way back from Stuttgart, here are my three takeaways from the VPH Conference on in silico medicine: 1️⃣ Credibility: With public trust in science facing challenges (especially post-COVID), the community is dedicated to developing transparent standards for validation through workshops and practical case studies. 2️⃣ Collaboration: Strong partnerships between academia, industry (from startups to major players), and regulatory bodies are key to bringing innovative models from research into clinical practice. 3️⃣ Momentum: Advances in AI, modeling techniques, and computational power are accelerating the digital transformation of medicine, opening new opportunities for real-world impact.

🤖 Did you know that the Howard Hughes Medical Institute (HHMI) is investing $500 million in AI-driven life sciences research? 📊 This significant investment marks a pivotal moment in the intersection of artificial intelligence and life sciences, aiming to revolutionize research methodologies. Here are some key highlights: - **Innovative Research**: The funds will support cutting-edge projects that utilize AI to accelerate discoveries in biology and medicine. - **Collaborative Efforts**: HHMI plans to partner with leading scientists and institutions to implement AI tools effectively. - **Future Impact**: The integration of AI is expected to lead to breakthroughs in understanding complex biological processes and advancing treatments. 🌍 This initiative demonstrates the increasing importance of AI in driving scientific advancements and enhancing healthcare outcomes. What are your thoughts on the role of AI in life sciences? Do you believe such investments will yield significant benefits? Share your thoughts in the comments! #AIinScience #HealthcareInnovation #ResearchAdvancements Image from: Bruce Gil

🤖 Did you know that the Howard Hughes Medical Institute (HHMI) is investing $500 million in AI-driven life sciences research? 📊 This significant investment marks a pivotal moment in the intersection of artificial intelligence and life sciences, aiming to revolutionize research methodologies. Here are some key highlights: - **Innovative Research**: The funds will support cutting-edge projects that utilize AI to accelerate discoveries in biology and medicine. - **Collaborative Efforts**: HHMI plans to partner with leading scientists and institutions to implement AI tools effectively. - **Future Impact**: The integration of AI is expected to lead to breakthroughs in understanding complex biological processes and advancing treatments. 🌍 This initiative demonstrates the increasing importance of AI in driving scientific advancements and enhancing healthcare outcomes. What are your thoughts on the role of AI in life sciences? Do you believe such investments will yield significant benefits? Share your thoughts in the comments! #AIinScience #HealthcareInnovation #ResearchAdvancements Image from: Bruce Gil

Wrapping up an unforgettable SDSC-Connect! More than 170 researchers, innovators, domain experts, and data scientists gathered to discuss the transformative potential of #AI for #PrecisionMedicine. Thank you to all our amazing speakers and panelists for sharing their vision, insights and knowledge: Prof. Martin Vetterli, Prof. Susan M Gasser, Prof. Andreas Wicki, Prof. Catherine Jutzeler, Prof. Jean-Philippe Vert, Antoine MAISON, Dr. Noushin Hadadi, Dr. Daniel Stekhoven. Their insightful talks and a panel discussion led by SDSC's new Head of Biomedical, Dr. Nora C. Toussaint, touched on state-of-the-art advancements and challenges of data-driven precision medicine in Switzerland. In a nutshell, AI for precision medicine holds great promises. Solid research data management, #MachineLearning, and #generativeAI methods can help improve prediction and treatment of diseases, while showing remarkable potential to decrease fatalities and cost. Data quality and compliance remain key imperatives. Bringing clinicians, academics and practitioners to work together is one way to materialize these great promises. We are deeply grateful to all participants for engaged discussions at EPFL’s Rolex Learning Center which made the event a resounding success! SDSC-CONNECT is a series of conferences created by the Swiss Data Science Center addressing opportunities and challenges in data science applied in different user contexts. Olivier Verscheure, Silvia Quarteroni, Guillaume Obozinski, Nora C. Toussaint, Ekaterina Krymova, Anna Fournier, PhD; EPFL, ETH Zürich, Universitätsspital Zürich, Novigenix SA, Tigen , Owkin, Mines Paris

Did you know that there is an alliance of AI companies working in healthcare with over 40 members helping shape the industry? Check out the interview with the chairman of the The Alliance for Artificial Intelligence in Healthcare (AAIH) Mustaqhusain Kazi during the World Economic Forum event in San Francisco. 💡📈🤖

New MIT Research: AI Model Identifies Potential Drug Interactions Researchers at MIT, Brigham and Women's Hospital, and Duke University have developed an innovative approach that combines tissue models and machine learning to predict interactions between drugs that could interfere with their effectiveness. 🩺🧪 This groundbreaking study has already uncovered a previously unknown interaction between a commonly prescribed antibiotic and a blood thinner, highlighting the potential of this technology to improve patient safety and treatment outcomes. 🩸💉 While this development is incredibly promising for the future of healthcare, it's crucial to remember that such tools are designed to support, rather than replace, the expertise of medical professionals. As we continue to advance precision medicine, responsible implementation will be key. 🧑⚕️👩⚕️ The future of healthcare is increasingly data-driven and personalized, and I'm excited to see how innovations like this will shape the industry in the coming years. Read the full article here: https://lnkd.in/gddBfnzC #HealthcareInnovation #PrecisionMedicine #DrugSafety #MachineLearning #MedTech #FutureOfHealthcare