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Yingzhou Lu on Muck Rack

Yingzhou Lu

As seen in: AIChE Journal, Nature, arXiv, Bioinformatics, MDPI, Science Magazine, Royal Society of Chemistry
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Articles

Autonomous biomedical research with an artificial intelligence agent

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By J. C. Brüggenjürgen, Gerard Crowley, Zhulatai Bao, Kexin Huang, serena zhang, Hanchen Wang, Yuanhao Qu, Yingzhou Lu, Ryan Li, Yusuf Roohani, Lin Qiu, Shiyi Cao, Gavin Li, Junze Zhang, Di Yin, Rick Wierenga, Deniz Kavi, Sherry Liu, Shruti Marwaha, Jennefer N. Carter, Xin Zhou, Matthew Wheeler, Jonathan Bernstein, Mengdi Wang, Peng He
| Science Magazine Verified
Abstract Supplementary Materials References and Notes Information & Authors Metrics & Citations Check Access References Figures Tables Media Share Abstract Biomedical research is increasingly constrained by repetitive, fragmented workflows that slow discovery. We introduce Biomni, a general-purpose biomedical artificial intelligence agent that autonomously executes diverse research tasks.
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Drug Discovery in the Era of Artificial Intelligence: From Target Identification to Clinical Trials

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By Yoshitaka Inoue, Nan Hao, Yingzhou Lu
| preprints.org
You are already at the latest version Drug discovery remains costly and time-consuming, requiring substantial effort across target identification, lead optimization, and clinical validation. The rapid growth of artificial intelligence (AI) and machine learning (ML), particularly deep learning (DL), has created new opportunities to accelerate these processes by extracting complex patterns from large-scale biological and chemical data.
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Individual variations in glycemic responses to carbohydrates and underlying metabolic physiology - Nature Medicine

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By Yue Wu, Ben W. Ehlert, Ahmed A. Metwally, Dalia Perelman, Andrew Brooks, Fahim Abbasi, Basil Michael, Ekrem Ayhan, Yingzhou Lu, Frank Wong, Georg Gutjahr, Ekanath Srihari Rangan, Tao Wang, Helge Ræder, Tracey McLaughlin, Lettie McGuire
| Nature Verified
Abstract Elevated postprandial glycemic responses (PPGRs) are associated with type 2 diabetes and cardiovascular disease. PPGRs to the same foods have been shown to vary between individuals, but systematic characterization of the underlying physiologic and molecular basis is lacking. We measured PPGRs using continuous glucose monitoring in 55 well-phenotyped participants challenged with seven different standard carbohydrate meals administered in replicate.
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