Shao Li on Muck Rack

Shao Li

San Jose
As seen in: Nature, Wiley Online Library, Frontiers, Alzheimer's Research and Therapy, JAMA (The Journal of the American Medical Association), Science Magazine, The Star (Malaysia), Cell Press, EClinicalMedicine, MSN China and
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Articles

Systematically decoding pathological morphologies and molecular profiles with unified multimodal embedding

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By Peng Zhang, Chaofei Gao, Kui Hua, Zhuoyu Zhang, Shao Li
| Nature Verified
Abstract Systematic cross-modality inference and integration of pathological morphologies and multilayer molecular profiles have advanced disease biology; however, methodological challenges remain in multimodal learning. Here, we present Multi-Embed, a unified and interpretable framework for multimodal learning between multilevel morphologies and multilayer molecular profiles.
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Development and validation of an interpretable machine learning model for non-invasive screening of precancerous gastric lesions using symptom and lifestyle data: a multicentre cohort study

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By Chaoyang District, Shao Li
| EClinicalMedicine Verified
Keywords Precancerous gastric lesions Machine learning Screening tool Symptom and lifestyle Evidence before this study Gastric cancer (GC) remains one of the most burdensome malignancies worldwide.
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Chronic meningoencephalomyelitis caused by Nocardia nova infection: a case report and literature review

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By Shao Li, Qianqian Tian, Xixi Yang, Mengyao Zhang, Dawei Li, Zhihui Duan, Zhandong Qiu, Zheng Liu, Menghan Zheng
| Frontiers
CASE REPORT article Volume 12 - 2025 | https://doi.org/10.3389/fmed.2025.1680771 Introduction Nocardia is an aerobic, Gram-positive, and partially acid-fast pyogenic bacterium (1). Involvement of the central nervous system (CNS) represents a critical clinical event in disseminated infections, associated with high mortality and recurrence rates, especially in immunocompromised patients (2).
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