Michael Hoffmeister - Epidemiology

Author Information

Michael Hoffmeister is affiliated with the Division of Clinical Epidemiology and Aging Research at the German Cancer Research Center (DKFZ) in Heidelberg, Germany. His research focuses primarily on epidemiology, with a strong emphasis on cancer research, particularly colorectal cancer.

Research Contributions

Michael Hoffmeister has made significant contributions to the field of cancer epidemiology. His recent research includes studies on the application of artificial intelligence in cancer histopathology, prognostic DNA methylation biomarkers, and microsatellite instability in colorectal cancer. Hoffmeister also explores the genetic and environmental factors influencing cancer survival and the efficacy of screening methods. His work often integrates advanced computational techniques, including swarm learning and polygenic risk prediction, to improve cancer diagnosis and prognosis.

Aliases

M Hoffmeister, M. Hoffmeister, Michael Hoffmeister

Publication and Citation Metrics

Metric	Value
Citation Count	18456
h-index	66
Paper Count	522

Publications:

Response to Hawwash et al.

DOI: 10.14309/ajg.0000000000001714

Year: 2022

Swarm learning for decentralized artificial intelligence in cancer histopathology.

DOI: 10.1038/s41591-022-01768-5

Year: 2022

Artificial intelligence in the identification of prognostic DNA methylation biomarkers among patients with cancer: a scoping review of epigenome-wide studies

DOI: 10.21203/rs.3.pex-1738/v1

Year: 2022

Artificial intelligence for detection of microsatellite instability in colorectal cancer-a multicentric analysis of a pre-screening tool for clinical application.

DOI: 10.1016/j.esmoop.2022.100400

Year: 2022

Genome-wide association study identifies tumor anatomical site-specific risk variants for colorectal cancer survival

DOI: 10.1038/s41598-021-03945-x

Year: 2022

Variation of Positive Predictive Values of Fecal Immunochemical Tests by Polygenic Risk Score in a Large Screening Cohort

DOI: 10.14309/ctg.0000000000000458

Year: 2022

Incorporation of functional status, frailty, comorbidities, and co-medication in prediction models for colorectal cancer survival.

DOI: 10.1002/ijc.34036

Year: 2022

Higher vitamin B6 status is associated with improved survival among patients with stage I-III colorectal cancer.

DOI: 10.1093/ajcn/nqac090

Year: 2022

Beyond GWAS of Colorectal Cancer: Evidence of Interaction with Alcohol Consumption and Putative Causal Variant for the 10q24.2 Region.

DOI: 10.1158/1055-9965.EPI-21-1003

Year: 2022

Learning High-Order Interactions for Polygenic Risk Prediction

DOI: 10.1101/2022.04.22.489134

Year: 2022

How Important is Physical Activity?

What Skills Are Needed in Epidemiology?

What are Medical Foods?

What Are Some Notable Achievements of GOARN?

What is Chronic Inflammation?

What are Counts in Epidemiology?

Why is Blood Pressure Important?

How Do Large Population Studies Address Health Disparities?

Why are Falls a Public Health Concern?

What is the Importance of Evaluation?

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