grit42’s Post

There is one thing getting in the way of us saving lives with AI… And it’s actually the very thing AI relies on!🤔 “Despite the promise of the power of artificial intelligence, most organisations are no where near ready to harness the power of AI due to challenges with computing, storing, accessing and securing the underlying data.” The key word from the above passage pulled from an article written by World Wide Technology experts, Sanaz Cordes, M.D. & Edward Morrison is DATA! This particular article is tailored to the fascinating applications of AI in the life sciences industry🥼🧪 There is massive potential for AI to save lives through drug discovery. For example, AI can be trained to predict the 3D structure of a target protein ie. an antigen, potentially massively reducing the time taken to develop a successful vaccine. There are actually countless exciting opportunities for AI in life sciences: ➡️ https://lnkd.in/eV9BvZf8 But, none of this can be achieved if we are unable to train the AI with the right DATA: 1) Data must be acquired & collected. 2) Data must be stored securely. 3) Data must be clean & structured. 4) Data must be easily shared and accessible, not in data silos. Maybe there needs to be more investment into the development of stringent data strategies to ensure proper data management and governance? ⁉️Question: Do you think organisations are in danger of focusing too heavily on implementing the infrastructure that underpins AI, without ensuring they also have an effective data strategy in place? To me, that would be like buying a nice, fancy sports car without knowing if you actually have any fuel to run it!⛽️ Let me know your thoughts. Or, if you’d like to dig a little deeper first, I have attached the WWT Research article to this post. https://lnkd.in/eFsah4fD

Are you ready for the AI revolution? It all starts with a reliable and solid #fair data foundation strategy. Sapio Sciences has released Jarvis - the only science-aware™ lab integration software designed for modern science. Jarvis manages, fuses and harmonizes your collective scientific data, going beyond single systems to integrate enterprise-wide instrument and system data. With Jarvis, you can unlock the full potential of your data and ensure that you're not left behind in the AI revolution. Learn more about why you need a scientific data management system in our latest blog post. #AI #DataManagement #ScienceAware #DataIntegration

🌟 New Launch Alert We're thrilled to announce the launch of Dimensions Knowledge Graph, a game-changer for the pharmaceutical and life science sectors! 🎉 Unlock the power of internal and global research data with the Dimensions Knowledge Graph, powered by metaphacts GmbH. Dive into approximately 350 million records and 50+ public datasets, seamlessly integrating external knowledge with your internal data repositories. Curious to learn more about how Dimensions Knowledge Graph can revolutionize your research and development process? 🤔 Find out more in our news article https://lnkd.in/ef7k4Q-r Discover how Dimensions Knowledge Graph can fast-track target discovery, streamline processes, and accelerate drug discovery. Don't miss out on this opportunity to supercharge your insights! #DimensionsKnowledgeGraph #AI #Research #DataIntegration #DrugDiscovery #LifeSciences

🌟 New Launch Alert We're thrilled to announce the launch of Dimensions Knowledge Graph, a game-changer for the pharmaceutical and life science sectors! 🎉 Unlock the power of internal and global research data with the Dimensions Knowledge Graph, powered by metaphacts GmbH. Dive into approximately 350 million records and 50+ public datasets, seamlessly integrating external knowledge with your internal data repositories. Curious to learn more about how Dimensions Knowledge Graph can revolutionize your research and development process? 🤔 Find out more in our news article https://lnkd.in/gTf8WQmY Discover how Dimensions Knowledge Graph can fast-track target discovery, streamline processes, and accelerate drug discovery. Don't miss out on this opportunity to supercharge your insights! #DimensionsKnowledgeGraph #AI #Research #DataIntegration #DrugDiscovery #LifeSciences

🔬 👨🔬 🤖 TetraScience just returned from the Databricks Data+AI Summit, where the future of scientific AI was on full display! Exciting times as we leverage AI to transform raw data into powerful insights, speeding up drug discovery and improving manufacturing processes. Our strategic partnership with Databricks is set to revolutionize life sciences, making data management seamless and AI-ready. From digital twins enhancing vaccine production to AI-driven predictive models, the possibilities are endless.   Moreover, unlocking scalable access to engineered scientific data with Databricks further transforms the life sciences industry. TetraScience’s lakehouse architecture captures all scientific data and makes it AI-ready, allowing for seamless handling of raw, semi-structured, and unstructured data. This unified approach enhances data management, governance, and advanced analytics capabilities, boosting scientific productivity and accelerating drug discovery and development.   #DataAISummit #ScientificAI #LifeSciences #AI #DataTransformation https://lnkd.in/gMPkXUBK https://lnkd.in/gp5fgXJQ

"We are at the infancy of the biotech industry’s adoption of machine learning tools. But, over the next 20 years, a more “multidisciplinary and data-intensive approach to life sciences will shift our understanding of and ability to manipulate living matter.” #data #datascience #biotech #pharma #healthcare #ML #machinelearning #ai #artificialintelligence #cheminformatics #bioinformatics #computationalbiology #computationalchemistry #algorithms #datavalidation

It’s not just about having the data — it’s about making the data work for you. 💪 Seeing how Roche leverages AI and LLMs to cut through the noise and deliver actionable insights (even in German!) is a perfect example of what good knowledge management looks like. ✅ When teams can trust they’ll find the right information, at the right time, innovation follows. 💡 #KnowledgeManagement #Insights #MarketResearch #MRX #AI #LLM

Attending PharmaSUG for the third time was a fantastic experience, and I was thrilled to win my third best paper in the AI session. I covered topics like Medical Coding with LLM, real-time data analysis (Rshiny+LLM), SAS copilot, and AI-driven eCTD translation—advancing my AI implementation goals since 2019. Engaging with industry peers and friends was incredibly insightful. As technology and platforms evolve, so must our mindsets and methods. AI is becoming essential in every field. In the pharmaceutical industry, individuals can advance from programmer to data scientist. For companies, AI innovation competition will intensify, making vision, insight, and execution crucial. AI will significantly accelerate the process from data to decision-making.

After three years in incubation, the data science team at the Swedish Medical Products Agency (Läkemedelsverket) is ready to carry its own organisational weight and is now formalised as the AI unit. This also means that I am proud to announce that my role will be expanded to head of unit, in addition to the agency-level scientific and regulatory lead in AI and data science.   Vanity aside, this autumn will be unusually exciting:   ❗After vetting more than 100 candidates, we will be onboarding two new full-time data scientists in September. I will introduce them separately when it's time. ❗As the user base of the AI@MPA toolbox for medicines regulation is expanding (currently in use by 14 EU national agencies) we will be activating a new computer vision service for identifying drug package similarity. And yes, we will publish the methodology. ❗Our scientific work on xAI in pharmacovigilance is coming together nicely - very eager to get community feedback when the paper is out. ❗We are preparing our second internal AI production environment (H100 NVL) for a set of AI services that are not fit for cloud deployment. I am a firm believer that open-source foundation models in combination with strong internal AI engineering will be one of the key pillars for governmental digital sovereignty. ❗The first real-life users will start beta testing our RADAR (raw data augmented review) tool for no-code analysis of clinical study raw data through a code generating python-to-R framework. ❗We are kicking off the EU funded project for providing Swedish healthcare providers with context-dependent decision support based on retrieval-augmented generation, in cooperation with our governmental agency partners. ❗The EMA reflection paper on use of AI in the medicinal product lifecycle, where I am the lead author, will be published in September. ❗And, to show what work-life balance can actually look like in Sweden, I will go on parental leave and give all that I have to our fantastic 1-year old at home. It may be that we come and visit for the occasional meeting to throw things off the table (gravity is fun!) but still.