Digestive system cancers, including hepatobiliary and gastrointestinal malignancies, remain a major global oncological burden ...
Deep generative model of macrophage immune response for hepato-intestinal tumor therapy optimization
(a) the use of a hierarchical, variational encoder to encode multimodal (multiple types of) data through modality-specific encoders (graph attention network [GAT], convolutional neural network ...
Spatial biology technologies such as highly multiplexed imaging and spatial transcriptomics generate extremely high-dimensional data, with spatial locations encoding a rich molecular profile. While ...
(UroToday.com) The 2026 American Society of Clinical Oncology Genitourinary (ASCO) Annual Meeting held in Chicago, IL, was host to the Prostate, Testicular, and Penile Cancer - Oral Abstracts. Mr.
The explosion of high-throughput sequencing technologies has democratized genomic research, enabling investigators to generate comprehensive ‘omics datasets ...
Computational models are mathematical models that are simulated using computation to study complex systems. In biology, one example is the use of a computational model to study an outbreak of an ...
Peptide-spectrum match (PSM) rescoring is crucial for accurate peptide identification in DDA proteomics. Here, the authors introduce DDA-BERT, an end-to-end transformer-based deep learning model that ...
1Laura and Isaac Perlmutter Cancer Center, Department of Medicine, New York University Grossman School of Medicine, NYU Langone Health, New York, New York. 9Department of Pathology, New York ...
Unravelling immune–inflammatory regulation within tissue microenvironments in chronic inflammatory disorders ...
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