TileDB reposted this
It was great to speak on a panel exploring Machine Learning on Multimodal Data: Opportunities & Challenges in Drug Discovery . Cellarity is redefining how medicines are created—starting not with a single target, but with the cellular dysfunction that drives disease. Our platform brings together data, AI, and deep biological insights to develop medicines beyond the reach of traditional approaches. Here are a few takeaways from the conversation: 🔹 Multimodal isn’t a buzzword — it’s the backbone of understanding complex disease biology. 🔹 Benchmarks and biological context must go hand in hand to ensure models are both powerful and meaningful. 🔹 You can't ship science without scalable infrastructure. FAIR data principles enable—not hinder—innovation. 🔹 Data alone isn’t enough. It’s the interpretability and actionability that drive value. Inspired by the thoughtful dialogue with leaders advancing innovation at the intersection of science and AI.
🎉 We kicked off the #AWS Life Sciences Symposium with a bang! A big thank you to everyone who joined us for 🧬 Sips & Sequences yesterday. Special appreciation goes to our partner AWS for Healthcare & Life Sciences and to our exceptional panelists Ariella Sasson, Parul Bordia Doshi, and Mickey Atwal, as well as our moderator Devika Garg, PhD for leading an insightful discussion on the impact of multimodal data and machine learning on science and drug discovery.
Thank you Parul Bordia Doshi for your continued partnership!
Parul 100% agree with you. FAIR data is the only way to scale efficiently and in todays environment, we have to be efficient. Was there something at the conference that really blew you away?