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Toward explainable artificial intelligence for precision pathology
The rapid development of precision medicine in recent years has started to challenge
diagnostic pathology with respect to its ability to analyze histological images and …
diagnostic pathology with respect to its ability to analyze histological images and …
Multi-omics data integration, interpretation, and its application
I Subramanian, S Verma, S Kumar… - … and biology insights, 2020 - journals.sagepub.com
To study complex biological processes holistically, it is imperative to take an integrative
approach that combines multi-omics data to highlight the interrelationships of the involved …
approach that combines multi-omics data to highlight the interrelationships of the involved …
Molecular map of chronic lymphocytic leukemia and its impact on outcome
Recent advances in cancer characterization have consistently revealed marked
heterogeneity, impeding the completion of integrated molecular and clinical maps for each …
heterogeneity, impeding the completion of integrated molecular and clinical maps for each …
Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets
Multi‐omics studies promise the improved characterization of biological processes across
molecular layers. However, methods for the unsupervised integration of the resulting …
molecular layers. However, methods for the unsupervised integration of the resulting …
Ex vivo drug response heterogeneity reveals personalized therapeutic strategies for patients with multiple myeloma
Multiple myeloma (MM) is a plasma cell malignancy defined by complex genetics and
extensive patient heterogeneity. Despite a growing arsenal of approved therapies, MM …
extensive patient heterogeneity. Despite a growing arsenal of approved therapies, MM …
Interleukin-10 receptor signaling promotes the maintenance of a PD-1int TCF-1+ CD8+ T cell population that sustains anti-tumor immunity
T cell exhaustion limits anti-tumor immunity and responses to immunotherapy. Here, we
explored the microenvironmental signals regulating T cell exhaustion using a model of …
explored the microenvironmental signals regulating T cell exhaustion using a model of …
Venetoclax synergizes with gilteritinib in FLT3 wild-type high-risk acute myeloid leukemia by suppressing MCL-1
M Janssen, C Schmidt, PM Bruch… - Blood, The Journal …, 2022 - ashpublications.org
BCL-2 inhibition has been shown to be effective in acute myeloid leukemia (AML) in
combination with hypomethylating agents or low-dose cytarabine. However, resistance and …
combination with hypomethylating agents or low-dose cytarabine. However, resistance and …
Machine learning and feature selection for drug response prediction in precision oncology applications
In-depth modeling of the complex interplay among multiple omics data measured from
cancer cell lines or patient tumors is providing new opportunities toward identification of …
cancer cell lines or patient tumors is providing new opportunities toward identification of …
Phenotype-based drug screening reveals association between venetoclax response and differentiation stage in acute myeloid leukemia
The treatment of AML with high-dose cytarabine and anthracycline-based intensive
chemotherapy has remained the standard of care for the last four decades. 1 Despite the …
chemotherapy has remained the standard of care for the last four decades. 1 Despite the …
Dissecting intratumour heterogeneity of nodal B-cell lymphomas at the transcriptional, genetic and drug-response levels
Tumour heterogeneity encompasses both the malignant cells and their microenvironment.
While heterogeneity between individual patients is known to affect the efficacy of cancer …
While heterogeneity between individual patients is known to affect the efficacy of cancer …