Li Xie

Oct 28, 2024 | mdpi.com | Li Xie |Zhengming Chen |Sheng Yu

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Sep 8, 2024 | flipboard.com | You Wu |Li Xie |Yang Liu |Lei Xie

A new lawsuit on Monday claims that Trojan condoms are not safe because they contain toxic "forever chemicals," which have been linked to cancer. In a …

Sep 8, 2024 | nature.com | You Wu |Li Xie

AbstractMany biological problems are understudied due to experimental limitations and human biases. Although deep learning is promising in accelerating scientific discovery, its power compromises when applied to problems with scarcely labeled data and data distribution shifts. We develop a deep learning framework—Meta Model Agnostic Pseudo Label Learning (MMAPLE)—to address these challenges by effectively exploring out-of-distribution (OOD) unlabeled data when conventional transfer learning fails.

Mar 1, 2024 | biorxiv.org | You Wu |Li Xie |Yang Liu |Lei Xie

AbstractMany biological problems are understudied due to experimental limitations and human biases. Although deep learning is promising in accelerating scientific discovery, its power compromises when applied to problems with scarcely labeled data and data distribution shifts.

Feb 14, 2024 | onlinelibrary.wiley.com | Ning Zhao |Yixuan Huang |Xu Cheng |Li Xie

1 INTRODUCTION Skeletal muscle is the most abundant tissue in the human body, comprising around 40% of our overall mass.1 The contraction of skeletal muscle drives body movements via their skeletal attachments, meeting a broad range of functional demands from posture maintenance, breathing, thermogenesis to body movement and more.2 In situations of congenital diseases, traumatic injuries or tumour ablation, severe loss of skeletal muscle may occur with consequent impairments in aesthetics and...