Nextnet

At Nextnet, we're nothing without our people. ❤️ To the researchers, engineers, scientists, physicians, and global life sciences partners who pour their passion into creating better health outcomes for everyone, everywhere — thank you. 🌍🙏 Wishing you a Happy New Year from our team here at Nextnet to yours! ❄️

🎯 It’s time to stop thinking about data as just individual databases. 💡 Instead, think in terms of concepts: the core ideas that matter most to your organization. At Nextnet, we’re redefining how to navigate the disconnected biomedical data landscape. Enter Ontology 📚 Ontology is a set of building blocks that map scientific, biological, chemical, and commercial concepts to the data that describes them. 💡 Why does this matter? ✅ It creates a rich semantic layer for unified terminology across fragmented databases. ✅ It serves as a shared language, enabling disjointed biomedical entities to “talk” to each other. ✅ It bridges the gap between scientific and commercial concepts, transforming complex data landscape into a human-readable representation. Through a common ontology, life science organizations can unify their fragmented data and unlock deeper insights, turning a tangled web of information into actionable understanding. 👉 Stay tuned to learn how this new paradigm can revolutionize the life sciences industry. 

Thank you Steven Banerjee and Derek Park, D. Phil. for sharing your story of Nextnet's AI acceleration with Gemini and Vertex AI. "On our specific language tasks, Gemini has equaled or outperformed other commercial AI models. We are extracting scientific insights now that would not have been possible 12 or 18 months ago. And the iteration speed of Google's generative models has meant that we are staying state of the art." Full blog post outlining Nextnet's use of Google Cloud's AI tools can be found here: https://lnkd.in/gCs4XSia Shoutout to the Google Cloud team, Kristen Kelly and Karre Lawson, for going above and beyond to help make this partnership a success 👏 #GoogleCloud #Gemini #Healthcare #VertexAI #AI Kristen Kelly Karre Lawson Richard Greaves Jessica Jinkins Farris Pine

Think about this 🤯: 🟢 2 new publications are added to PubMed every minute.  🟢 1.5 million citations were added to PubMed in the last year alone.  🟢 PubMed now includes more than 37 million citations, 28 million of those which link directly to the full text. Imagine having your personalized biomedical knowledge assistant that can help you identify patterns hidden deep within millions of scientific papers. So that you can generate insights and make decisions at the speed of thought. 

Let Insights Copilot guide you through your discovery journey. ✅ Start with your life science question ✅ Get directly to the relevant sources ✅ Iterate ideas with automated follow-up questions and copilot nudges ✅ Share chat transcripts with your research teams Sign up for Insights Copilot now 🫵: https://lnkd.in/gskA2yf7

Congratulations to Dr. Victor Ambros and Dr. Gary Ruvkun on winning a #NobelPrize in Physiology or Medicine for the discovery of #miRNA and its role in post-transcriptional gene regulation! 🥇 Discoveries can be hard. Sometimes you need a companion to get to your next scientific breakthrough. 🔬 Join the waitlist for Insights Copilot to experience your eureka moment: 👉 https://lnkd.in/gskA2yf7

Even the biggest blockbuster drugs can be dismissed as unworthy by smart and ambitious people in a Life Science enterprise. This can happen due to a variety of inadvertent reasons and human oversights. Some of which includes:  🔵 Underlying biologic mechanisms are inadequately understood, 🔵 There are mistaken ideas of how the market will react to new technologies, 🔵 Drug development confronting difficult roadblocks, 🔵 or simply, bad luck intervenes. Any ambitious drug company will be working on projects ahead of their time to have an economic moat. But how do you then recognize when your early discoveries have matured into a novel opportunity? Enter Nextnet's Institutional Memory 🧠 🟢 Nobody is going to spend the time going through their back catalog of minor successes and negative results, to see if they are now relevant.  🟢 But Nextnet's AI constantly combs over old results making connections to new discoveries, so that you can query the wealth of your company's experience and accumulated knowledge.  🟢 And that dramatically increases the chance that a company can capitalize on its past projects when they do become feasible and relevant. Institutional Memory could uncover hidden gems even from failed drug trials of the past. Find out more 👇

Thank you Google for being awesome allies of team Nextnet and helping us accelerate our product development. It was good to catch up with you at SaaStr last week. 🎉 Kristen Kelly Karre Lawson Richard Greaves April Cobb 

It was great to connect with the world's largest community for B2B SaaS and Business Software, here in the San Francisco Bay area at SaaStr🌐 Some takeaways: ✨ AI RoI and AI agents were the talk of the town ✨ We are in the business of serving our customers ✨ Software ate the world and now AI is eating software

Insights Copilot — the world's first personalized biomedical knowledge assistant — helps you easily ask and answer your most vexing life science questions, summarize multilingual content, connect to primary sources, and much more. ✨ Join the waitlist: 👉 https://lnkd.in/gskA2yf7