David Ginsburg’s Post

𝐀𝐈 𝐑𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐢𝐬𝐢𝐧𝐠 𝐌𝐞𝐝𝐢𝐜𝐢𝐧𝐞: 𝐓𝐡𝐞 𝐆𝐚𝐦𝐞 𝐂𝐡𝐚𝐧𝐠𝐞𝐫𝐬 🌟 The advent of AI is transforming the landscape of medicine, saving billions of years of research time. Cutting-edge models like AlphaFold 3, developed by Isomorphic Labs and Google DeepMind, are leading this charge, offering unprecedented capabilities in drug design, targeted cancer treatments, and even virtual biomolecular worlds. AI is revolutionising medicine by accelerating drug design, improving targeted cancer treatments, and creating virtual biomolecular worlds. What does this mean for the future of healthcare? 🔗 Learn more from Max Jaderberg, Chief AI Officer of Isomorphic Labs #HealthcareInnovation #AIinMedicine #FutureOfHealthcare

AI is an incredibly powerful tool for the innovators out there from health to tech to armaments and beyond. One of the most impressive features is its ability to run iterative computations that reduce resource restraints and rapidly progress technological breakthroughs. If you are or know one of these AI innovators, I'd love to talk to you about what you're doing and where you see your work's future impacts. Our team may be able to help you find federal funding to achieve your goals. #AI #tech #armaments

At AstraZeneca we are harnessing the power of generative AI to transform drug discovery and development. This technology is enabling us to analyze complex data, optimize clinical trials, and accelerate the creation of life-saving treatments. #GenerativeAI #Oncology #ClinicalInnovation #DataScience

Great to see Dave H., our CEO (interim) and CSO, speak to BiotechTV discussing the tightly knit integration of our automated experimentation and generative AI capabilities, and how that drives our oncology focused pipeline forward. Watch this informative interview for insights into upcoming developments, and our learnings as a public technology-driven drug design company: https://lnkd.in/gZXrb8Ub #AI #drugdevelopment #oncology

The advancement of medical science with AI integration is unparalleled. https://lnkd.in/dHmJ-qCx

https://lnkd.in/d-ntu2PY efficiency-led innovation by AI will bring out tremendous changes for us

An interesting look at how startups are using data from multiple sources to train #AI to identify which people are more likely to respond to a treatment and more. Here’s hoping these types of solutions can help make it easier to find more diverse cohorts of participants. #clinicaltrials https://lnkd.in/exciEpGK

At AstraZeneca, we are harnessing the power of generative #AI to transform drug discovery and development. This technology is enabling us to analyse complex data, optimize clinical trials, and accelerate the creation of life-saving treatments. I’m proud to be part of a team that is pushing the boundaries of science and driving innovation for better patient outcomes. In #NearEast and #Maghreb, we are working hard to collaborate with the different governments specially in #Morocco, #Iraq and #Lebanon where we are able to utilize #ArtificialIntelligence for early detection of different types of cancer including #lungcancer flagging abnormalities, enabling the prioritisation of of a patient's care journey from weeks to days. #GenerativeAI #Oncology #ClinicalInnovation #DataScience #NEMAG #NearEast #Maghreb Tamer Elfishawy George Fouad Omar Hussein Jinane Hajjar Agnar Abou Jaoude Amine Sekhri Ayman Rahhal Abdulkareem Al Dissi Maria Nauss

In today’s world, effectively communicating scientific discoveries is crucial. As researchers, we must generate knowledge and ensure it reaches and impacts society in meaningful ways. Recently, I’ve been exploring AI tools, such as Google’s NotebookLM, to see how they can enhance the spread and understanding of scientific research. These tools have the potential to make complex information more accessible, and engaging, and even transform how we communicate science. To showcase what’s possible, I’ve used these tools in the podcast I'm sharing here. It’s based on one of our recent publications from Stanford, and it’s a great example of how AI can help bridge the gap between detailed scientific data and public understanding. I’d love to hear your thoughts on AI’s role in transforming scientific communication. How do you think these tools can reshape the way we share science? #ScienceCommunication #AI #ResearchImpact #Stanford #GoogleNotebookLM

How can we truly trust AI in cancer care if we don’t understand its decision-making process? In oncology, AI’s role is growing—from pinpointing tumors to detecting genetic mutations—but its “black box” nature raises concerns for doctors and patients alike. Imagine getting a life-changing diagnosis based on an algorithm whose reasoning remains hidden. For healthcare professionals, understanding how AI arrives at its predictions is essential for making informed, safe decisions. That’s why researchers are working on “explainable AI,” developing tools like SHAP and LIME to make AI’s decision-making process transparent. These tools are helping clinicians see how AI assesses medical images, identifies key features, and pinpoints signs of cancer, offering insights that go beyond the surface. As we continue to integrate AI into cancer care, transparency isn’t just beneficial—it’s crucial. Explainable AI has the potential to improve accuracy, boost trust, and enable personalized treatment plans, bringing us closer to a future where AI supports rather than obscures critical medical decisions. Healthcare professionals have an essential role in advocating for transparency, ensuring AI is a partner we can rely on. [**subtítulos en español**] #AIinHealthcare #ExplainableAI #AI