Ayse Onalan

A data-driven approach to driving wound healing outcomes Marcella Gomez, University of California, Santa Cruz https://lnkd.in/gAkWZYJT Meet: https://lnkd.in/g4AAWkcK YouTube Stream: https://lnkd.in/gwtqaTmf Talk details: https://lnkd.in/gWn3B3cU Subscribe for talk announcements: https://lnkd.in/g5ciuNuX Abstract: Precision medicine requires an ability to predict the response of an individual to a prescribed treatment regimen a priori. Thus, advancement in the field is challenged by a lack of predictive models and, arguably, a lack of time-series information for a highly dynamic system. Here, we discuss work in wound healing, for accelerating wound closure. We argue that timing of treatments is as critical to consider as the choice of drug or therapy. Due to system size and complexity, data-driven methods need to be explored to develop multi-dimensional quantifiable indicators tracking systemic changes. In this work I discuss how bioelectronic devices enhanced with deep learning can help facilitate real-time sensing and actuation for automated decisions in treatment for wound healing and preliminary work in transcriptomic based classification of wound states. Bio: Marcella M. Gomez is an associate professor at UC Santa Cruz in the department of Applied Mathematics and Associate Dean for Diversity, Equity, and Inclusion for Baskin Engineering. She received her PhD from Caltech in 2015 and a B.S. from UC Berkeley in 2009; both degrees in Mechanical Engineering. Her research interests are in the broad field of bio-control leveraging methods in machine learning and control theory. Applications range from controlling single-cell response to driving complex systems such as wound healing. #modeling #simulation #medicine #healing #trauma #predictivemodeling #datascience #data #woundhealing #biology #bioengineering #systemanalysis #sensing #omics

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What it looks like to responsibly deliver educator value using Generative AI -- ensuring reliability and trust -- while moving rapidly and iteratively https://lnkd.in/egUdnV6w

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Satya Nadella sparked a new (or reignited) debate about death of apps as a result of AI agents. While he makes a great point on the Agentic AI architecture and how traditional architectures will be obsolete, wondering if front-end apps will go away. Often, tools like Excel or well-designed user interfaces help me identify the right questions to ask. Can AI alone replace the value of that interactive discovery process? What do you think? #ArtificialIntelligence #AI #AgenticAI #AIApplications #FutureOfApps https://lnkd.in/g8UKWQmf

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Exciting news from Microsoft! 🚀 Today, they unveiled Copilot Labs and Copilot Vision, expanding the capabilities of AI-driven support. Copilot Labs introduces new tools like "Think Deeper" allowing Copilot to handle more complex tasks, while Copilot Vision helps Copilot understand and interact with web content visually, enhancing context-aware assistance. These innovations are designed to improve user experiences in Edge and Office while prioritizing privacy and control. Can't wait to see how this evolves! #AI #Innovation #MicrosoftCopilot #TechNews Read more here: https://lnkd.in/e34SPwfj

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Check out the latest in our "Debuggability" blog series! This blog is authored by Kevin Downey Jason Johl and me and talks about how we built a Debuggability Paved Road at Intuit using Ephemeral Containers and Argo Workflows. We'd love to hear your thoughts on the topic. Also, what tools do you build as-a-platform to help debug service, compute and network issues in Kubernetes at scale? #intuit #kubernetes #debug

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First story on what we have been up to at Augment. Much more to come! https://lnkd.in/gC6gbADA

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Oracle today announced the general availability of HeatWave #GenAI, including in-database LLMs, an automated in-database vector store, and the ability to have human-like contextual conversations in natural language. https://lnkd.in/gK-Q44gc

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Anthropic's latest Claude AI model is taking human-AI interaction to a whole new level! 🖥️🤖 The new Claude 3.5 Sonnet can now use computers just like a human would - by looking at the screen, moving the cursor, clicking buttons, and typing text. This is a major leap forward in AI capabilities. Key features: Operates based on screenshots, emulating human computer use Can perform complex multi-step tasks across different applications Self-corrects and retries when encountering obstacles2 Accessible via API for developers to build with Why it's game-changing: This opens up incredible possibilities for AI assistance in data entry, form filling, software testing, and automating repetitive computer tasks13. Imagine having an AI assistant that can seamlessly work alongside you, handling tedious computer work while you focus on higher-level tasks. While still in beta, this technology demonstrates how AI is rapidly advancing toward more human-like interaction with digital interfaces. As it develops further, it could revolutionize how we work with computers and boost productivity across industries. The future of human-AI collaboration just got a lot more exciting! What do you think about this new capability? #AIInnovation #FutureOfWork Here is a video about it: https://lnkd.in/gh8aNYEu

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When you need to play with your data in Gen Ai, you need RAG and Chunking is one of the main component in the RAG framework while consuming or processing your data. Excellent post below describing how in different ways chunking in RAG can be implemented..

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"Software is eating the world," a phrase coined by Marc Andreessen over a decade ago, rings truer today than ever, especially with the Nobel prizes in Physics and Chemistry awarded to pioneers in AI (John Hopfield, Geoffrey Hinton, Demis Hassabis and John Jumper). AI is transforming modern science and nearly every discipline in fascinating interdisciplinary ways, proving that we are only at the beginning of a revolutionary era. It's not far-fetched that, some day in the near future, we are going to see a miracle drug discovery by AI! #NobelPrize

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I am excited about the vector search capabilities introduced in OpenSearch 2.14, particularly vector radial search #opensearch #vectorsearch Junqiu Lei Vamshi Vijay Nakkirtha Dylan Tong

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Gen AI isn’t just about compute power or advanced algorithms—it’s about data. Without proper data governance, the entire foundation can crumble. Join me for a talk on how we empower our watsonx customers to govern their data with both flexibility and precision, ensuring their AI initiatives thrive. https://lnkd.in/gZDH3wme #IBM #watsonx #genai #ai #productmanagement

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https://lnkd.in/gcJsEKrG Q. What happens when #neural #networks are applied to fields like #Physics? A. In short, a Nobel Prize. More broadly, neural networks, built on the laureates' foundational work, have wide-ranging applications across science, technology, and various industries. They excel at tasks like pattern recognition, classification, and data generation. #Physics #AI #HVSays

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Hey everyone, I am an investor and advisor to Katanemo.... They are reinventing the infrastructure primitives for GenAI and launched Arch - https://lnkd.in/gCrbbkEV - an intelligent prompt gateway. Give the project a look on Github, and star the project if it resonates

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Endear, a CRM platform, needed a more scalable database. They chose AlloyDB for PostgreSQL. After one year, they've seen: 6x more connections, 6x more transactions per second, and fast response times (P99 under 10ms). You can try it out for free today !  #alloydb #gcp #postgresql

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Harness has teamed up with Google Cloud to integrate with the Gemini Code Assist tools. This innovative AI-driven tool is set to revolutionize the way developers work, offering smarter code generation and more advanced debugging capabilities. Brad Rydzewski, Vice President of Engineering, said, "This collaboration deepens our shared commitment to improving developer productivity — a core value at Harness — by delivering innovative AI-native solutions to accelerate and enhance software delivery." For more information, keep an eye out for updates: https://lnkd.in/ddBB4x3B #googlecloud #googlecloudpartners #GoogleAIpartner

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