Artificial intelligence for digital and computational pathology
Advances in digitizing tissue slides and the fast-paced progress in artificial intelligence,
including deep learning, have boosted the field of computational pathology. This field holds …
including deep learning, have boosted the field of computational pathology. This field holds …
[HTML][HTML] Integrative multi-omics and systems bioinformatics in translational neuroscience: A data mining perspective
Bioinformatic analysis of large and complex omics datasets has become increasingly useful
in modern day biology by providing a great depth of information, with its application to …
in modern day biology by providing a great depth of information, with its application to …
[HTML][HTML] Single-cell spatial metabolomics with cell-type specific protein profiling for tissue systems biology
Metabolic reprogramming in cancer and immune cells occurs to support their increasing
energy needs in biological tissues. Here we propose Single Cell Spatially resolved …
energy needs in biological tissues. Here we propose Single Cell Spatially resolved …
Computational cell–cell interaction technologies drive mechanistic and biomarker discovery in the tumor microenvironment
Highlights•Tumor-immune CCIs can be investigated using scRNA-seq and ST
strategies.•CCI studies elucidate fundamental mechanisms in disease state.•Open-source …
strategies.•CCI studies elucidate fundamental mechanisms in disease state.•Open-source …
Hypoxia coordinates the spatial landscape of myeloid cells within glioblastoma to affect survival
Myeloid cells are highly prevalent in glioblastoma (GBM), existing in a spectrum of
phenotypic and activation states. We now have limited knowledge of the tumor …
phenotypic and activation states. We now have limited knowledge of the tumor …
[HTML][HTML] Spatial transcriptomic analysis of Sonic hedgehog medulloblastoma identifies that the loss of heterogeneity and promotion of differentiation underlies the …
T Vo, B Balderson, K Jones, G Ni, J Crawford, A Millar… - Genome Medicine, 2023 - Springer
Background Medulloblastoma (MB) is a malignant tumour of the cerebellum which can be
classified into four major subgroups based on gene expression and genomic features …
classified into four major subgroups based on gene expression and genomic features …
SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology
Introducing interpretability and reasoning into Multiple Instance Learning (MIL) methods for
Whole Slide Image (WSI) analysis is challenging given the complexity of gigapixel slides …
Whole Slide Image (WSI) analysis is challenging given the complexity of gigapixel slides …
Artificial intelligence-quantified tumour-lymphocyte spatial interaction predicts disease-free survival in resected lung adenocarcinoma: A graph-based, multicentre …
Z Feng, H Lin, Z Liu, L Yan, Y Wang, B Li, E Liu… - Computer Methods and …, 2023 - Elsevier
Background and Objective A high degree of lymphocyte infiltration is related to superior
outcomes amongst patients with lung adenocarcinoma. Recent evidence indicates that the …
outcomes amongst patients with lung adenocarcinoma. Recent evidence indicates that the …
Disease trajectories in hospitalized COVID-19 patients are predicted by clinical and peripheral blood signatures representing distinct lung pathologies.
Linking clinical biomarkers and lung pathology still is necessary to understand COVID-19
pathogenesis and the basis of progression to lethal outcomes. Resolving these knowledge …
pathogenesis and the basis of progression to lethal outcomes. Resolving these knowledge …
Computational methods and biomarker discovery strategies for spatial proteomics: a review in immuno-oncology
Advancements in imaging technologies have revolutionized our ability to deeply profile
pathological tissue architectures, generating large volumes of imaging data with …
pathological tissue architectures, generating large volumes of imaging data with …