Advancing biomedical discovery: Overcoming data challenges in precision medicine
| Mandi Hall
Our recent study in Nature Scientific Reports identified key challenges in the biomedical data lifecycle and offered 7 actionable recommendations.
人工智能如何助力精准医疗？
编者按：如今，生成式人工智能为人类社会带来了前所未有的能力，它就像一种“自然语言”可以加速生物医学发现，从而大幅提升医疗质量，同时也为降低医疗成本提供了可能。 在 Microsoft Research Forum 第五期中，来自微软研究院及行业的全球顶尖科学家们共同探讨了人工智能在医疗健康领域的变革潜力，内容涵盖医学影像、家庭健康监测、电子病历和药物发现等话题。 Hoifung Poon：大家好，...
In the news | BBC
Tech Life: The doctor will see you now
Find out how holoportation 3D telemedicine technology is helping patients in Ghana.
In the news | Fierce Healthcare
HIMSS25: Microsoft launches voice-activated AI assistant for clinicians
Microsoft has rolled out a new AI assistant for healthcare professionals that it bills as an all-in-one technology that combines voice dictation, ambient listening and generative AI. The new tool, Dragon Copilot, combines the natural language speech recognition capabilities of Dragon…
In the news | The Sequence
Making Small Models Great Achieve GPT-o1 Levels in Math Reasoning with Microsoft rStar-Math
rStar-Math is a novel approach that significantly boosts the mathematical reasoning capabilities of small language models (SLMs). This innovative system enables SLMs to achieve performance levels comparable to, and even exceeding, OpenAI’s o1, despite a significantly smaller model size. This…
WANet与WALoss：突破量子化学中的哈密顿量计算瓶颈
编者按：量子化学中的哈密顿量计算一直是制约药物筛选与新材料设计效率的瓶颈。近期，微软研究院科学智能中心、耶鲁大学及加州大学戴维斯分校联合研究提出的全新损失函数 WALoss 和深度学习框架 WANet，为这一难题提供了创新的解决方案。通过优化计算过程，WANet 显著提高了哈密顿量预测的精度与效率，尤其在大分子系统中展示了强大的扩展能力。搭配 WALoss，WANet 则能够准确预测分子能量，并有...
The rapid development of AI has steadily advanced the field of text-to-video (T2V) generation, offering a rich and convenient video content creation experience and unlocking new possibilities in entertainment, education, and multimedia communication. Traditional T2V methods, however, are limited due…
提示词优化、FP4量化训练、灵巧机器人抓取策略蒸馏、视频高效灵活建模
编者按：欢迎阅读“科研上新”栏目！“科研上新”汇聚了微软亚洲研究院最新的创新成果与科研动态。在这里，你可以快速浏览研究院的亮点资讯，保持对前沿领域的敏锐嗅觉，同时也能找到先进实用的开源工具。 本期，我们为大家精心挑选了4篇前沿研究论文，内容涵盖大语言模型的提示词优化、FP4 量化的高效训练方法、灵巧机器人抓取的简化策略以及视频内容高效建模的 Tokenizer，感兴趣的朋友快来看看吧！ 本期内容速...
Research advances are driving real-world impact faster than ever, with the latest advances in AI transforming the way we all live, work, and think. In this episode, discover how precision health, multimodal AI agents, and innovative chemical synthesis models are…