Alexander Brobeil

Bone marrow breakout lesions act as key sites for tumor-immune cell diversification in multiple myeloma

Rethinking cancer of unknown primary: from diagnostic challenge to targeted treatment

A Unique Signature for Cancer‐Associated Fibroblasts in Melanoma Metastases

Methylation-based smoking signatures in blood and tissue samples for the prediction of self-reported smoking status and mortality in patients with colorectal cancer

DNA methylation patterns facilitate tracing the origin of neuroendocrine neoplasms

Expression of Bovine Meat and Milk Factor in Hepatocellular Carcinoma and Colorectal Liver Metastasis Patients

Validation of novel low-dose CT methods for quantifying bone marrow in the appendicular skeleton of patients with multiple myeloma: initial results from the [18F]FDG PET/CT sub-study of the Phase 3 GMMG-HD7 Trial

Identification and external validation of tumor DNA methylation panel for the recurrence risk stratification of stage II colon cancer

Regression-based Deep-Learning predicts molecular biomarkers from pathology slides

Multimodal and spatially resolved profiling identifies distinct patterns of T cell infiltration in nodal B cell lymphoma entities

Deep learning for dual detection of microsatellite instability and POLE mutations in colorectal cancer histopathology

Automated curation of large‐scale cancer histopathology image datasets using deep learning

PITX2 as a Sensitive and Specific Marker of Midgut Neuroendocrine Tumors: Results from a Cohort of 1157 Primary Neuroendocrine Neoplasms

N‐cadherin: A diagnostic marker to help discriminate primary liver carcinomas from extrahepatic carcinomas

Large-scale external validation and meta-analysis of gene methylation biomarkers in tumor tissue for colorectal cancer prognosis

Differential Immunoexpression of Inhibitory Immune Checkpoint Molecules and Clinicopathological Correlates in Keratoacanthoma, Primary Cutaneous Squamous Cell Carcinoma and Metastases

Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric study

End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study

Encrypted federated learning for secure decentralized collaboration in cancer image analysis

Functionally distinct cancer-associated fibroblast subpopulations establish a tumor promoting environment in squamous cell carcinoma

Resolving the spatial architecture of myeloma and its microenvironment at the single-cell level

Deep Learning–Enabled Diagnosis of Liver Adenocarcinoma

Bovine meat and milk factor protein expression in tumor‐free mucosa of colorectal cancer patients coincides with macrophages and might interfere with patient survival

Spatial Dissection of the Bone Marrow Microenvironment in Multiple Myeloma By High Dimensional Multiplex Tissue Imaging

High-throughput electron tomography identifies centriole over-elongation as an early event in plasma cell disorders

CpG-biomarkers in tumor tissue and prediction models for the survival of colorectal cancer: A systematic review and external validation study

Validation of the prognostic value of <scp>CD3</scp> and <scp>CD8</scp> cell densities analogous to the Immunoscore® by stage and location of colorectal cancer: an independent patient cohort study

IgE type multiple myeloma exhibits hypermutated phenotype and tumor reactive T cells

Multimodal and spatially resolved profiling identifies distinct patterns of T-cell infiltration in nodal B-cell lymphoma entities

Spatiotemporal analysis of tumour-infiltrating immune cells in biliary carcinogenesis