Journal Article

Genome-wide study reveals novel roles for formin-2 in axon regeneration as a microtubule dynamics regulator and therapeutic target for nerve repair

Peripheral nerves regenerate successfully; however, clinical outcome after injury is poor. We demonstrated that low-dose ionizing radiation (LDIR) promoted axon regeneration and …

Ngan Pan Bennett Au

A Longitudinal MRI-Based Artificial Intelligence System to Predict Pathological Complete Response After Neoadjuvant Therapy in Rectal Cancer: A Multicenter Validation Study

**Background**: Accurate prediction of response to neoadjuvant chemoradiotherapy is critical for subsequent treatment decisions for patients with locally advanced rectal cancer. …

Jia Ke

A prognostic model for ovarian neoplasms established by an integrated analysis of 1580 transcriptomic profiles

**Abstract** Even after debulking surgery combined with chemotherapy or new adjuvant chemotherapy paired with internal surgery, the average year of disease free survival in …

Yanjiao Hua

Application of the Chinese Expert Consensus on Diabetes Classification in Clinical Practice

**Objective:** To evaluate the diagnostic classification of newly diagnosed diabetes patients and assess the application of the screening tests recommended by the 2022 Chinese …

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Shu-Ting YANG

Senescence-based colorectal cancer subtyping reveals distinct molecular characteristics and therapeutic strategies

Cellular senescence has been listed as a hallmark of cancer, but its role in colorectal cancer (CRC) remains unclear. We comprehensively evaluated the transcriptome, genome, …

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Min-Yi LV

An immune, stroma, and epithelial--mesenchymal transition-related signature for predicting recurrence and chemotherapy benefit in stage II--III colorectal cancer

**Background:** Debates exist on the treatment decision of the stage II/III colorectal cancer (CRC) due to the insufficiency of the current TNM stage‐based risk stratification …

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Du CAI

Editorial: Medical knowledge-assisted machine learning technologies in individualized medicine

Machine learning (ML), a powerful tool for mining quantitative disease features in large quantities of medical data, is arguably the most important method for extracting, …

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Feng GAO