As many as 𝟰 𝗼𝗳 𝟱 of the world's patient data sets come from people of European descent. How can we develop therapies for all populations if our algorithms are trained on data from mostly one group? 📈 “Relying on data that represents too narrow a population will be full of gaps and biases, which the AI and machine learning algorithms will learn,” says Genialis’ CEO Rafael Rosengarten. In a recent Forbes article, Rafael discussed how Genialis is working to change this by assembling the world's most 𝗲𝘁𝗵𝗻𝗼-𝗴𝗲𝗼𝗴𝗿𝗮𝗽𝗵𝗶𝗰𝗮𝗹𝗹𝘆 𝗱𝗶𝘃𝗲𝗿𝘀𝗲 𝗰𝗮𝗻𝗰𝗲𝗿 𝗱𝗮𝘁𝗮 𝘀𝗲𝘁𝘀. 🌍 Check the link in the comments to read the full article by Jennifer Kite-Powell. 📷: Mario Tama/Getty Images
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Attended a fascinating class on expert systems recently! Delving into "AI: A Modern Approach" by Peter Norvig and Stuart J. Russell, I learned the power of expert systems to tackle complex problems by mimicking expert decision-making. From early cancer detection with CaDet to predicting lung cancer type and severity with PXDES, these systems show how technology enhances our ability to solve complex problems. Key components of expert systems include: - Human Expert - Knowledge Engineer - Expert System Shell (Knowledge base, inference engine, user interface) - End user Excited to explore more about #ExpertSystems, and #AI.
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#AI isn’t yet perfect. And Professor Regina Barzilay argues it doesn’t have to be. As long as it’s better than the current systems, it’s worth pursuing. In her experience, the field of cancer diagnosis is “extremely problematic.” She recently spoke on The Guardian’s Black Box Podcast about Mirai, an AI algorithm that identifies anomalies in mammograms and how the technology may have saved her neighbor’s life. Listen here: https://bit.ly/3TJkuz3. Professor Barzilay is one of several experts instructing this summer’s #ProfessionalCertificate Program in Machine Learning & Artificial Intelligence at MIT. Learn more about what this program has to offer to data analysts and technology leaders to succeed in an AI-powered future. https://bit.ly/3YRlr9z. #MITShortPrograms #MachineLearning #AI #DataDriven
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Why do you need to read this case study? 👇 Firstly, discover how AI is revolutionizing healthcare in our latest case study on AI-based cancer susceptibility prediction 🔬 But there's more. It's not just about healthcare; it's a blueprint for leveraging data across industries. This case study showcases how to build powerful ML models to discover patterns that drive strategic business decisions and reach new targets! 👉 Explore the breakthroughs: link in the first comment #ai #aiandbusiness #aihealthcare #knowledgebase #mlmodels #aitrends
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In an exciting collaboration with Dr. Praveen Meka at Dana-Farber Cancer Institute, Christine Tsien Silvers, MD, PhD, Qing Liu, and Rod Tarrago, MD, we look into the fascinating question of whether AI can reason like a clinician. Our latest blog post explores this topic through the lens of arterial blood gas analyses, a crucial diagnostic tool in healthcare. Arterial blood gas analysis is a complex process that requires clinicians to synthesize multiple data points and apply intricate reasoning to arrive at a diagnosis and treatment plan. In this blog, we discuss how we leveraged advanced AI techniques, including large language models and knowledge graphs, to emulate the clinical reasoning process. Key highlights: 🔹 Understand the challenges and nuances of replicating clinical reasoning with AI 🔹 Explore the potential of AI in augmenting and supporting clinicians' decision-making 🔹 Gain insights into the future of AI in healthcare and its impact on patient care Whether you're a healthcare professional, AI enthusiast, or simply curious about the intersection of technology and medicine, this blog post offers valuable insights. Check it out and let me know your thoughts! [Link to the blog: https://lnkd.in/ehWTAmJ4] #AI #GenerativeAI #Healthcare #ClinicalReasoning #AWS
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I empower teams on self-awareness and management & agile leadership. Executive Leadership & Team Coach | NSPMethod Founder| Birkman Snr Consultant| Mbti Consultant| Ex-Int’l Executive @ BP | Speaker |Sup Racer|
Do you want this information ? So why do we need to check up then ? AI knows all from now on by statistics , literally everything is statistics and what do you want to know is behind numbers. How many live cells you have - cancer cells- broken longivety formulas and happy neurons. Who can count this , AI ; common man ; you can do it yourself .Please ,please you. #neuroplasticity #happinesshunting https://lnkd.in/dha7prm6
Scientists Say Their New AI Can Predict When You’re Going to Die
futurism.com
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Maximising AI's benefits for cancer innovation and research requires tackling data challenges head-on. The Achilles heel is personal information – its quantity, quality, data protection and data security. The issues are so severe as to hinder the critical expansion of cancer datasets for improved computational models to develop much-needed new treatments. In the Policy Brief researchers Robin Gustafsson and Nomi Byström examine from the Finnish perspective both the causes of the data challenges and the means how to solve them in order to leverage the potential of AI solutions for cancer innovation and research. Read more: https://bit.ly/3T5IxbM #cancerresearch #AI #Data #IN2MISSION
Artificial intelligence solutions to accelerate impactful data-driven cancer innovation and research: a deep dive into data challenges | Aalto Blogs
ourblogs.aalto.fi
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🚨 Welcome to your mid-week AI news roundup 🚨 Here is this week’s selection of top AI stories that you DO NOT want to miss 👇🏻 🩺 Researchers have received a $27.8 million grant to use AI for precision treatment of rectal cancer. Using AI to analyse MRI scans, scientists aim to derive specific metrics to understand rectal tumour responses to therapy better, helping evaluate tumour regression. 👵🏻 Using GPT-3.5, MIT Researchers have developed a chatbot that allows individuals to have conversations with simulations of their future selves, aiming to provide insights and facilitate personal growth by envisioning future experiences and outcomes. 💊 An AI-powered programme named TopoFormer has been developed by researchers, it aims to revolutionise drug discovery by efficiently predicting the interactions between proteins and small molecules, essentially anticipating how effective a drug might be. 🍟 McDonald's is discontinuing AI-powered ordering at its US drive-throughs following widespread unreliability, with plans to end its current partnership with system developer IBM by July while exploring future voice ordering solutions by year-end. Which news story has captivated your attention the most this week? Let us know in the comments below 💬 #aiupdates #ainews #ai #artificialintelligence #digitalinnovation
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Managing Partner | General Counsel | Author, Speaker, Entrepreneur & Podcast Host | linktr.ee/camerontousi
The groundbreaking blog, Unraveling the Mysteries: The Hidden Dangers and Unrevealed Potentials of AI in Cancer Detection and Treatment , delves into the transformative use of Artificial Intelligence
Unraveling the Mysteries: The Hidden Dangers and Unrevealed Potentials of AI in Cancer Detection and Treatment
linkedin.com
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Today is World Cancer Day, and Aiforia expresses solidarity with those confronting this global health challenge. In the realm of healthcare, leveraging AI technology has unlocked considerable potential. It offers a transformative influence on cancer care, elevating the pace, precision, and accessibility of medical information and treatment alternatives. With Aiforia's powerful deep learning AI and cloud-based solutions, we're dedicated to contributing to this vital evolution. Together, let's advance the dialogue on cancer awareness and the role of AI in closing the care gap. #WorldCancerDay #CloseTheCareGap #AI
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The groundbreaking blog, Unraveling the Mysteries: The Hidden Dangers and Unrevealed Potentials of AI in Cancer Detection and Treatment , delves into the transformative use of Artificial Intelligence
Unraveling the Mysteries: The Hidden Dangers and Unrevealed Potentials of AI in Cancer Detection and Treatment
linkedin.com
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https://www.forbes.com/sites/jenniferkitepowell/2024/05/24/see-how-this-company-uses-artificial-intelligence-to-decode-genomic-diversity/?sh=458f63f25812