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期刊名:Nature biomedical engineering

缩写:NAT BIOMED ENG

ISSN:2157-846X

e-ISSN:2157-846X

IF/分区:26.6/Q1

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共收录本刊相关文章索引1496
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Juan Shu,Rong Zheng,Julio Chirinos et al. Juan Shu et al.
Understanding the complex relationships among major clinical outcomes and the interplay among multiple organs remains a considerable challenge. By using imaging phenotypes, we can characterize the functional and structural architecture of m...
Ziyi Jin,Sihui Chen,Xiaoyan Dong et al. Ziyi Jin et al.
Radical prostatectomy is a standard curative approach for high-risk prostate cancer, yet accurately defining tumour margins during surgery remains a major challenge. Intraoperative assessment of prostate tumour malignancy-particularly those...
Wenguang Wang,Ya Chu,Lili Zhao et al. Wenguang Wang et al.
It is challenging for cancer vaccines to identify immunogenic antigens that are specifically and uniformly expressed on heterogeneous solid tumours and that can elicit production of T cells to lyse antigen-positive tumour cells and expand w...
Jack Chen,Patricia Jastrzebska-Perfect,Peter Chai et al. Jack Chen et al.
While treatment remains essential, disease prevention often proves more effective in improving outcomes, enhancing well-being and reducing healthcare costs. Despite this understanding, preventative medical practices are still underutilized....
Liangdi Ma,Hengrui Liang,Yuwei He et al. Liangdi Ma et al.
General artificial intelligence models have unique challenges in clinical practice when applied to diverse modalities and complex clinical tasks. Here we present MedMPT, a versatile, clinically oriented pretrained model tailored for respira...
Linjing Liu,Wei Li,Fang Wang et al. Linjing Liu et al.
Measuring protein abundance at the single-cell level can facilitate a high-resolution understanding of biological mechanisms in cellular processes and disease progression. However, current single-cell proteomic technologies face challenges ...