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
Fernando J. García-Marqués’ Post
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🔬 Check out this recent research from Anindo Saha, MSc, and colleagues investigating the potential of #AI systems as supportive tools for detecting clinically significant #ProstateCancer. 📚 Read More:
AI Systems as Supportive Tools for Detecting Clinically Significant Prostate Cancer | GU Oncology Now
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🔬 Check out this recent research from Anindo Saha, MSc, and colleagues investigating the potential of #AI systems as supportive tools for detecting clinically significant #ProstateCancer. 📚 Read More:
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astrazeneca.smh.re
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