Jan Baumbach

Chair and full professor

Universität Hamburg

Germany

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About

Jan Baumbach is a Chair and full professor at Universität Hamburg, Germany. His research encompasses Artificial Intelligence, Network Medicine, and Precision Medicine, as highlighted in his recent publications. He has contributed to advancing understanding in areas such as differential splicing, network pharmacology, and personalized prognostic models.

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2023

Collaborators (21)

Linda Baumbach

Universität Hamburg

GERMANY

Jan Baumbach

Research Interests

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About

Articles (20)

DIGGER 2.0: digging into the functional impact of differential splicing on human and mouse disorders

Systematic evaluation of normalization approaches in tandem mass tag and label-free protein quantification data using PRONE

Artificial Intelligence and Network Medicine: Path to Precision Medicine

Meta-analysis of genomic characteristics for antiviral influenza defective interfering particle prioritization

Synergistic Network Pharmacology: Preclinical Validation and Clinical Safety in Acute Ischemic Stroke

To Implement or Not to Implement? A Commentary on the Pitfalls of Judging the Value and Risks of Personalized Prognostic Statistical Models

Personalized Predictions for Changes in Knee Pain Among Patients With Osteoarthritis Participating in Supervised Exercise and Education: Prognostic Model Study

Transfer Learning of Human Activities Based on IMU Sensors: A Review

DysRegNet: Patient‐specific and confounder‐aware dysregulated network inference towards precision therapeutics

Transcription factor prediction using protein 3D secondary structures

Alternative splicing impacts microRNA regulation within coding regions

Alternative splicing analysis benchmark with DICAST

Laminarin-triggered defence responses are geographically dependent in natural populations of Solanum chilense

Multi-scale systems genomics analysis predicts pathways, cell types, and drug targets involved in normative variation in peri-adolescent human cognition

Democratizing knowledge representation with BioCypher

Online bias-aware disease module mining with ROBUST-Web

CTCF and Its Multi-Partner Network for Chromatin Regulation

spongEffects: ceRNA modules offer patient-specific insights into the miRNA regulatory landscape

Federated Machine Learning, Privacy-Enhancing Technologies, and Data Protection Laws in Medical Research: Scoping Review

Federated machine learning in data-protection-compliant research

Collaborators (21)

Linda Baumbach

Elias Farr

Anil Wipat

Gary Bader

Alexander Gress

Julio Saez-Rodriguez

Ralph Huckelhoven

Olga Tsoy

Marcus Hacker

Jean-Luc BALLIGAND

Chit Tong Lio

Remco Stam

Rebecca Dorothee Szepanowski

David Benjamin Blumenthal

Michael Hartung

Dorte Thalund Grønne

Olga Zolotareva

Markus List

Judith AH Wodke

Tim Kacprowski

Alissa Brauneck

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