Toward explainable artificial intelligence for precision pathology

F Klauschen, J Dippel, P Keyl… - Annual Review of …, 2024 - annualreviews.org
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 …

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 …

Molecular map of chronic lymphocytic leukemia and its impact on outcome

BA Knisbacher, Z Lin, CK Hahn, F Nadeu… - Nature …, 2022 - nature.com
Recent advances in cancer characterization have consistently revealed marked
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

R Argelaguet, B Velten, D Arnol, S Dietrich… - Molecular systems …, 2018 - embopress.org
Multi‐omics studies promise the improved characterization of biological processes across
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

K Kropivsek, P Kachel, S Goetze, R Wegmann, Y Festl… - Nature cancer, 2023 - nature.com
Multiple myeloma (MM) is a plasma cell malignancy defined by complex genetics and
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

BS Hanna, L Llao-Cid, M Iskar, PM Roessner, LC Klett… - Immunity, 2021 - cell.com
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 …

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 …

Machine learning and feature selection for drug response prediction in precision oncology applications

M Ali, T Aittokallio - Biophysical reviews, 2019 - Springer
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 …

Phenotype-based drug screening reveals association between venetoclax response and differentiation stage in acute myeloid leukemia

H Kuusanmäki, AM Leppä, P Pölönen… - …, 2019 - pmc.ncbi.nlm.nih.gov
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 …

Dissecting intratumour heterogeneity of nodal B-cell lymphomas at the transcriptional, genetic and drug-response levels

T Roider, J Seufert, A Uvarovskii, F Frauhammer… - Nature cell …, 2020 - nature.com
Tumour heterogeneity encompasses both the malignant cells and their microenvironment.
While heterogeneity between individual patients is known to affect the efficacy of cancer …