AI in Drug Discovery - Isomorphic Labs 致力于从根本上重新思考药物发现，利用人工智能技术 [1] - 该公司正在探索人工智能在应对疾病方面的可能性 [1] - 讨论了人工智能在生物学中的应用 [1] - 重点介绍了 AlphaFold 3 在药物发现中的作用 [1] Future of Drug Development - 探讨了人机协作在药物设计中的应用 [2] - 讨论了药物设计面临的挑战 [2] - 探索了超越动物模型的药物研发方法 [2] - 展望了人工智能药物的未来 [2]

Drug Discovery Innovation - Isomorphic Labs is using Machine Learning to push the boundaries of drug discovery [1] - Interdisciplinary teams are crucial to Isomorphic Labs' innovative approach [1] Company Focus - Isomorphic Labs encourages learning more about their innovative approach via the video 'Working with Predictions' [1]

Event Announcement - Isomorphic Labs 团队将参加 6 月 2 日至 3 日在瑞士巴塞尔诺华园区举行的 Empowering Women in Organic Chemistry Europe Conference [1] Company Focus - Isomorphic Labs 正在推动 AI 优先的药物设计方法 [1] Call to Action - 鼓励参会者与 Isomorphic Labs 的代表联系 [1]

“Some of these research problems we’ve been going after really are holy grail predictive problems for drug design - and we’ve made some incredible breakthroughs there, which have really stunned our chemists.”On Sequoia Capital’s Training Data podcast, our Chief AI Officer @MaxJaderberg talks about the scale of AI drug discovery and its potential to transform how we design new medicines.Listen to the full podcast at the link below:https://t.co/0ve7jAAZxN ...

We’re at MLSys in Santa Clara, California from May 12–15, and we’d love to talk to you.Register to connect with us here: https://t.co/3W7AO36iCwAt Isomorphic Labs, we’re scaling, which means building both a world-class research team and a world-class engineering team to support the rapid growth of our best-in-class AI models.We’re currently looking for:➡️ MLOps engineers to build and scale our training and inference infrastructure➡️ SREs to ensure the reliability of our training runs➡️ Engineers passionate ...

AI Model Advancement - Google Deepmind 发布了突破性的 AI 模型 AlphaFold 3 一周年 [1] - AlphaFold 3 能够以空前的精度模拟所有生命分子的结构和相互作用 [1] - AlphaFold 3 能够以原子级别对蛋白质、DNA、RNA 和小分子进行建模，这是一个重要的里程碑 [1] Drug Design Innovation - 公司构建了一个统一的、最先进的药物设计引擎，这将重新定义新药候选者的设计方式 [1]

We’re hiring at MLSys 2025!Isomorphic Labs is reimagining drug discovery with the power of AI, and we’re building a world-class MLOps team to do it.Join us as a Machine Learning Performance Engineer to help scale our cutting-edge models that will shape the future of human health.We're looking for:▪︎ Strong working knowledge of HPC and ML Systems.▪︎ Good understanding of GPU and other AI accelerator architectures.▪︎ Strong knowledge of data structures and algorithms.▪︎ Good working knowledge of maths / linea ...

It was a fantastic week at ICLR with insightful conversations and the opportunity to meet so many brilliant people. A big thank you to everyone who stopped by to chat, attend our sessions, or learn more about what we’re building at Isomorphic Labs.Over the week, we fast-tracked hiring with on-the-spot offers, participated in panels, and had a number of inspiring 1:1 conversations about our open roles and mission.We’re just getting started! Next up, you can find us at MLSys in Santa Clara, California from Ma ...

An insightful day at our London office yesterday! We were thrilled to host @MenePangalos, a distinguished member of our Scientific Advisory Board.Our Chief Scientific Officer, @MilesCcc, led a fascinating fireside chat with Sir Mene, diving into crucial topics like selecting the right drug targets to pursue, navigating the path to the clinic, and the unwavering focus required in our ambition to bring life-changing medicines to patients. ...

AI and Drug Discovery - Isomorphic Labs is applying cutting-edge AI to reimagine drug discovery [1] - The company is building generalisable AI models capable of learning from the entire universe of protein and chemical interactions [1] - This approach fundamentally breaks from the target-specific, siloed approach of conventional drug development [1] Technology and Innovation - The company's CTO and Chief AI Officer discussed their work on the NVIDIA AI Podcast [1] Future Implications - The AI advancements have implications for the future of precision medicine [1]