The real heroes document their scientific reasoning. 🧬

What happens when biology starts moving faster than our ability to make decisions? That was one of the biggest takeaways from #ASGCT2026. From advances in cell and gene therapy delivery technologies to increasingly sophisticated multi-omics datasets, researchers now have access to more data than ever before. The challenge is no longer generating data. It's turning that data into actionable, defensible scientific decisions. Our latest article, written by Ada Shaw, PhD, Scientific Partnerships Lead at Mithrl, explores key takeaways from ASGCT 2026, including delivery innovation, multi-omics analysis, and the growing need for transparent, trustworthy AI in biomedical research. bit.ly/4fmu7iu #ASGCT26 #CellAndGeneTherapy #MultiOmics #DrugDiscovery @ASGCTherapy @ecolienthusiast

Hear from Audrey Greenberg, @MayoClinic Venture Partner & Chair of the Department of Business Development, on what BIO Partnering™ has meant to her work and the broader ecosystem – from therapeutics and diagnostics to enabling platforms and digital health. #BIO2026 is just around the corner. Learn more and register: convention.bio.org

📣 Happening today in Waltham, MA! We're excited to join industry leaders at DataDrivenPharma East to explore how AI, data science, and biopharma innovation are accelerating the future of drug development. If you're attending, be sure to catch these sessions from the Mithrl team: 📍 AM | Inside the Business Track AI Discovery at the Speed of the Program, Not the Pipeline Vivek Adarsh, PhD, Co-Founder & CEO 📍 PM | Inside the Science Track Multi-Agent AI for ICI Response Prediction Across Heterogeneous Datasets Ada Shaw, PhD, Scientific Partnerships Lead & Biomedical AI Scientist (based on collaborative study with Elephas, Erika van Euw, PhD, MBA, Christina Vivelo, PhD, Hinco Gierman, PhD, and team) We hope to connect and discuss how agentic AI can help accelerate scientific discovery while maintaining transparency, traceability, and rigor. View the agenda: bit.ly/4fKdwFn @flyingthor @ecolienthusiast #DDPEast2026 #DataDrivenPharma #DrugDiscovery #BiomedicalAI #TranslationalResearch #Biotech

Heading to #BIO2026? Visit Mithrl at the @Biocom CA Pavilion, Booth #1525, for a live demo of our Scientific Decision Engine and discover how trustworthy AI is accelerating scientific discovery.

Heading to #BIO2026 in San Diego? The Mithrl team will be attending the BIO International Convention 2026 later this month, and we're looking forward to connecting with leaders across biotech, pharma, and life sciences. bit.ly/2EJf14t Visit us at the @Biocom CA Pavilion, booth #1525, where we'll host live demonstrations of Mithrl's Scientific Decision Engine. See how we're helping R&D teams move from complex biological data to transparent, traceable, and defensible scientific decisions. Whether you're exploring AI for drug discovery, translational research, or multimodal data analysis, we'd love to discuss how trustworthy AI can accelerate scientific insight. 📍 BIO 2026 | San Diego, CA 📅 June 22-25, 2026 👋 See you in booth #1525 💬 Direct message us here for a private meeting request, and we'll also share two exclusive AI and Drug Discovery networking BIO invites. @Ames24704, @LugtRachel38704, @flyingthor, and the entire team can't wait for all of the discussions ahead. @IAmBiotech #DrugDiscovery #Biotech #TranslationalResearch #MultiOmics

Making sense of complex biology shouldn't feel like a side quest. 🧙

We’re excited to sponsor DataDrivenPharma East on June 10 in Waltham, MA, joining leaders across biopharma, AI, and data science to help shape the future of drug development. Mithrl will be presenting two sessions during the event: • AI Discovery at the Speed of the Program, Not the Pipeline Vivek Adarsh, PhD, Co-Founder & CEO, Mithrl 11 AM | Inside the Business Track • Multi-Agent AI for ICI Response Prediction Across Heterogeneous Datasets Ada Shaw, PhD, Scientific Partnerships Lead and Biomedical AI Scientist, Mithrl 2 PM | Inside the Science Track If you’ll be attending, let’s connect: bit.ly/4fKdwFn #DDPEast2026 #DataDrivenPharma #DrugDiscovery #BiomedicalAI #TranslationalResearch #Biotech @flyingthor @ecolienthusiast

Still reflecting on the great conversations from our AI Biopharma Luncheon at #SynBioBeta2026. We had a packed room and a thoughtful discussion about how AI is reshaping drug discovery and R&D, not just through faster analysis but through more connected and intelligent scientific workflows. A few themes that stood out: • The future of AI in science will rely on many specialized models working together across different tasks and domains. • Scientific innovation will accelerate as models move from assisting with parts of workflows to supporting end-to-end research processes. • Biopharma still needs more high-quality targets, faster ways to validate those targets, and better ways to turn complex data into actionable decisions. • AI adoption in R&D is becoming increasingly practical, with teams focused on reducing bottlenecks, accelerating analysis, and improving scientific decision-making. Special thanks to everyone who joined us for the discussion featuring Eric Kauderer-Abrams, PhD, Head of Life Sciences at @AnthropicAI, and our Co-Founder and CEO, Vivek Adarsh, PhD. Already looking forward to #SynBioBeta2027, taking place May 3–6 in San Jose, CA: bit.ly/3Rz87am @SynBioBeta @obviousvc @johncumbers @jamesjoaquin

Looking forward to #BIO2026 in San Diego!

Imagine reducing weeks-long R&D analysis cycles to biologically grounded, defensible insights in a fraction of the time. Biopharma is generating more multi-modal data than ever before, yet many R&D teams still face fragmented workflows and challenges in turning complex datasets into reproducible scientific decisions. In our case study, we explore how Mithrl is helping a leading gene therapy biotech transform complex biological data into faster, more defensible decisions through agentic AI, transparent scientific reasoning, and auditable workflows designed for high-stakes R&D environments. Read more: bit.ly/49mNPXC #DrugDiscovery #Oncology #TranslationalResearch #BiomedicalAI