Area of research
Infectious Diseases · Molecular Biology
Research interest
Research interests include Medicine, Biology, Induced pluripotent stem cell, Computational biology, Oncology, and Phenotype.
Real world federated learning with a knowledge distilled transformer for cardiac CT imaging
Multi-modal dataset creation for federated learning with DICOM-structured reports
Safety, tolerability, and efficacy of fasudil in amyotrophic lateral sclerosis (ROCK-ALS): a phase 2, randomised, double-blind, placebo-controlled trial
Interdependencies of cellular and humoral immune responses in heterologous and homologous SARS‐CoV‐2 vaccination
Long‐term effects of homologous and heterologous <scp>SARS‐CoV</scp>‐2 vaccination on humoral and cellular immune responses
Influence of Shear Stress, Inflammation and BRD4 Inhibition on Human Endothelial Cells: A Holistic Proteomic Approach
Single-cell RNA-sequencing of differentiating iPS cells reveals dynamic genetic effects on gene expression
Population-scale proteome variation in human induced pluripotent stem cells
Fibroblast growth factor receptor 4 as a prognostic indicator in triple-negative breast cancer
Publisher Correction: Single-cell RNA-sequencing of differentiating iPS cells reveals dynamic genetic effects on gene expression
Fibroblast Growth Factor Receptor 4 as A Prognostic Indicator in Triple-Negative Breast Cancer
Epidermal Growth Factor Signaling Promotes Sleep through a Combined Series and Parallel Neural Circuit
A machine learning approach for the prediction of pulmonary hypertension
Proteomic analysis of tear fluid reveals disease-specific patterns in patients with Parkinson's disease – A pilot study
ROCK-ALS: Protocol for a Randomized, Placebo-Controlled, Double-Blind Phase IIa Trial of Safety, Tolerability and Efficacy of the Rho Kinase (ROCK) Inhibitor Fasudil in Amyotrophic Lateral Sclerosis
Identifying Extrinsic versus Intrinsic Drivers of Variation in Cell Behavior in Human iPSC Lines from Healthy Donors
Common genetic variation drives molecular heterogeneity in human iPSCs
A high-content platform to characterise human induced pluripotent stem cell lines
Identification of a DNA methylation signature to predict disease-free survival in locally advanced rectal cancer
Abstract 75: CpG methylation signature to predict outcome in preoperatively treated rectal cancer.