Area of research
Computational Theory and Mathematics · Molecular Biology
Research interest
Research interests include Cancer, Medicine, Biology, Computational biology, Personalized medicine, and Glioblastoma.
Effective head and neck cancer treatment combines radiation and local extended cisplatin release
The responses of HNSCC patients to immunotherapy are shown by two novel co-expression patterns
Molecular Changes in Breast Cancer Induced by Radiation Therapy
Patient-specific signaling signatures predict optimal therapeutic combinations for triple negative breast cancer
Transcriptome free energy can serve as a dynamic patient-specific biomarker in acute myeloid leukemia
Understanding Glioblastoma Signaling, Heterogeneity, Invasiveness, and Drug Delivery Barriers
Paclitaxel Delivery to the Brain for Glioblastoma Treatment
The immunogenic radiation and new players in immunotherapy and targeted therapy for head and neck cancer
Overexpressed kinetochore genes are used by cancer cells as genome destabilizers and transformation catalysts
Overcoming resistance to EGFR monotherapy in HNSCC by identification and inhibition of individualized cancer processes
Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance
Prescriptomics: the next frontier in medicine
Overcoming resistance to BRAFV600E inhibition in melanoma by deciphering and targeting personalized protein network alterations
Drug-Induced Resistance and Phenotypic Switch in Triple-Negative Breast Cancer Can Be Controlled via Resolution and Targeting of Individualized Signaling Signatures
Heparanase: a potential marker of worse prognosis in estrogen receptor-positive breast cancer
Explant Modeling of the Immune Environment of Head and Neck Cancer
Dissecting the role of crosstalk between glioblastoma subpopulations in tumor cell spreading
Translating Cancer Molecular Variability into Personalized Information Using Bulk and Single Cell Approaches
HU308 Mitigates Osteoarthritis by Stimulating Sox9-Related Networks of Carbohydrate Metabolism
Exploring Alzheimer’s Disease Molecular Variability via Calculation of Personalized Transcriptional Signatures
Decoding cancer heterogeneity: studying patient-specific signaling signatures towards personalized cancer therapy
Personalized disease signatures through information-theoretic compaction of big cancer data
A thermodynamic-based approach for the resolution and prediction of protein network structures
Intercellular signaling through secreted proteins induces free-energy gradient-directed cell movement
Critical Points in Tumorigenesis: A Carcinogen‐Initiated Phase Transition Analyzed via Single‐Cell Proteomics
A Thermodynamic-Based Interpretation of Protein Expression Heterogeneity in Different Glioblastoma Multiforme Tumors Identifies Tumor-Specific Unbalanced Processes
Glioblastoma cellular architectures are predicted through the characterization of two-cell interactions
Heterogeneity of Gene Expression in Murine Squamous Cell Carcinoma Development—The Same Tumor by Different Means
On a fundamental structure of gene networks in living cells