TetraScience’s Post

Data and IP leakage from public LLMs like ChatGPT makes using them illegal in a surprisingly wide set of scenarios, and ethically questionable in many more.

At the heart of the drug discovery process is the Design, Make, Test and Analyze (DMTA) cycle. AI-powered generative and predictive modeling can reduce the number of iterations needed in DMTA. How well AI shortens the cycle depends on the quality of the data used to construct models. In this whitepaper, learn about areas in drug discovery where AI can make significant contributions, such as target and hit identification, and the attributes of fit-for-purpose data. Three real-world examples outline how Reaxys bioactivity, structure-activity, pharmacological and chemical data were used within computer modeling to accelerate compound screening, improve hit rates and predict adverse drug reactions. https://lnkd.in/gXaUFB4G

Tom Lehmann, Selen Karaca-Griffin, Kailash Swarna, Nicole Paraggio, and Alex Blumberg, from Accenture’s Life Science team examined current R&D practices and the application of intelligent technologies in Accenture’s newest research-based thought leadership report: “Reinventing R&D in the age of AI: How intelligent technologies are transforming the Biopharma Industry.”   In the report, the team delve into the competitive landscape and identifies key areas for companies to focus on to achieve leadership in the biopharma sector. By redefining R&D practices, organizations are not only boosting productivity but enhancing patient outcomes and fostering growth in a competitive market. Find the full report here: https://lnkd.in/gVaYPftE

WE'RE FEATURED IN INC MAGAZINE! Are you frustrated by the AI hallucinations, or false information, associated with LLMs? Listen to “Spark of Innovation”, my piece on https://hubs.la/Q01_FPH-0, to learn how I built Narratize to help innovators in science, tech, and medicine create accurate, technical content to meet the level of rigor we expect in these industries. https://hubs.la/Q01_GwMJ0 #genAI

Hope to see everyone there! Ambient listening should fit into your workflows and make documentation easier, not put you into a box with new, constrained processes. That means, pre-charting, zero-copy/paste, unlimited sections, use your templates, use your smartphrases, all form factors, all settings...

BioTechX 𝐢𝐧 𝐁𝐚𝐬𝐞𝐥 𝐬𝐭𝐚𝐫𝐭𝐬 𝐭𝐨𝐦𝐨𝐫𝐫𝐨𝐰. 𝐈 𝐚𝐦 𝐚𝐭𝐭𝐞𝐧𝐝𝐢𝐧𝐠! 𝐀𝐫𝐞 𝐲𝐨𝐮? Let's meet and discuss BioPharma, Big Data, Real-Word Data and AI! #biotechxeu #bigdata #realworlddata #realworldevidence #AI #biopharma #biotechx #insights #analytics

👍 Anyone working with Knowledge Graphs shouldn't miss this fantastic event from Neo4j in Munich on April 24! https://lnkd.in/eVJXgNCy We are very happy to contribute with a talk but also with our experts in the workshop in order help & faciliate! 🚀 QIAGEN Biomedical KBs: Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians Key Takeaways: 📢 Understanding the Structure: Gain insights into the structured design of the QIAGEN biomedical knowledge graphs, enhancing data scientists and bioinformaticians’ ability to navigate and utilize intricate datasets for drug development. 📢 Schema Design: learn about the schema design tailored for exploration and question-answering, facilitating efficient data analysis and insight generation in biomedical research. 📢 Integration with Large Language Models: Explore how these knowledge graphs are used in conjunction with large language models (LLMs) to revolutionize drug discovery applications, providing a cutting-edge approach to predictive analytics and decision-making. 📢 Practical Applications: Deep dive into real-world applications, including link prediction models and their critical role in expediting drug discovery processes through advanced data analytics and machine learning techniques. #datascience #drugdiscovery #pharma #bioinformatics #Neo4j #ml #ai #drugdevelopment

I'm so excited about this upcoming webinar, which should be an amazing conversation between Natalie LaFranzo & Erin Legwold of LINUS and Alister Campbell of Dotmatics! They'll be discussing what seems to be on everyone's mind: how AI is accelerating drug discovery, and its dependencies with automation and data-sets. It'll be a very informative conversation and I hope you can join! #pharmaAI

Shaping the future of healthcare will be the buzz at the HIMSS Texas Regional Conference next week. Will you be attending? Stop by the Suki booth #508 to learn how generative AI solutions are saving clinicians time, reducing administrative burden, and making an impact on organizations’ bottom line. HIMSS West Texas Chapter, HIMSS South Texas Chapter, HIMSS Central Texas Chapter, HIMSS West Texas Chapter