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Xiaoxuan Liu

United Kingdom
As seen in: NEJM AI, Nature, Wiley Online Library, arXiv, BMJ Open, Frontiers, Frontiers in Immunology, MDPI, PNAS, SAGE Publishing, Taylor & Francis Online and
Clinician Scientist at Microsoft AI, building advanced medical intelligence. Hon A/Prof @unibirmingham. Assoc Editor @NEJM_AI. Prev Apple, NHS Ophthalmologist.
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Articles

Physics-guided deep learning improves UAV multispectral estimation of strawberry canopy LAI and SPAD

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By Shuangwen Zhao, Xiaoxuan Liu, Qiao Pan, Tintin Ting
| Nature Verified
Abstract Accurate estimation of strawberry canopy traits from UAV multispectral imagery is important for agricultural productivity but remains difficult under greenhouse conditions because illumination variation, canopy overlap, shadowing, background interference, and coupled structural and biochemical responses weaken purely empirical relationships.
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Adaptive density-based data stream clustering and lineage tracking motivated by excavator behavior monitoring

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By Xiaoxuan Liu, Shaobo Li, Yongming Wu, Zijun Fu
| Nature Verified
Abstract Excavator behavior monitoring motivates online methods that organize evolving sensor streams before stable activity labels are available. Adaptive Density Dynamic Clustering (ADDC) extends HDDStream by replacing its binary preferred-dimension switch with a bounded continuous weight and adding a read-only lineage rule based on persistent micro-cluster identity overlap.
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Spatial transcriptomics reveals dysregulated biological process in ALS mouse models with sod1 mutation

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By Gan Zhang, Yong Chen, Kailin Xia, Yajun Wang, Lu Tang, Xiaoxuan Liu, Dongsheng Fan
| Nature Verified
Abstract Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease characterized by the degeneration of motor neurons in the brain and spinal cord. It is often associated with specific genetic mutations, such as Sod1 genes. However, the exact mechanism by which Sod1 leads to ALS remains unclear. We used a spatial transcriptomic (ST) technique called Stereo-seq to analyze the molecular changes during the progression of ALS.
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