Lorenzo Veschini
Biochemistry, Genetics and Molecular Biology · Indiana University
Publications
35
Citations
957
Est. group size
—
Recurring co-author estimate
Active years
23
Publishing since 2004
Lorenzo Veschini studies blood vessel formation (angiogenesis) and how cells behave in tissues, combining laboratory models with computer-based image analysis. Much of the work focuses on the vasculature in cancer, engineering tissues such as bone, and building lab-on-a-chip and 3D models as alternatives to animal testing. A recurring theme is using automated image analysis and computational modelling to interpret cell and tissue data.
Publication activity has been steady over the last five years, averaging roughly three to four outputs per year with a peak in 2022.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Endothelial NOTCH Model - Original Model and Data
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Endothelial NOTCH Model - Original Model and Data
Zenodo (CERN European Organization for Nuclear Research) · 2026
- User-driven development and evaluation of an agentic framework for analysis of large pathway diagrams
bioRxiv (Cold Spring Harbor Laboratory) · 2026
- Non-Animal Technologies to Study and Target the Tumour Vasculature and Angiogenesis
Preprints.org · 2025
- Non-Animal Technologies to Study and Target the Tumour Vasculature and Angiogenesis
Organoids · 2025
- A Novel Metastatic Propensity Grading System as a Research Tool in Head & Neck Squamous Cell Carcinomas (HNSCC)
International Journal of Oral and Maxillofacial Surgery · 2025
- Continuously perfusable, customisable, and matrix-free vasculature on a chip platform
Lab on a Chip · 2023
- Multifactorial estimation of clinical outcome in HPV-associated oropharyngeal squamous cell carcinoma via automated image analysis of routine diagnostic H&E slides and neural network modelling
Oral Oncology · 2023
- Assessing biocompatibility & mechanical testing of 3D-printed PEEK versus milled PEEK
Heliyon · 2022
- 3D Models as a Tool to Assess the Anti-Tumor Efficacy of Therapeutic Antibodies: Advantages and Limitations
Antibodies · 2022
- DAR 16-II Primes Endothelial Cells for Angiogenesis Improving Bone Ingrowth in 3D-Printed BCP Scaffolds and Regeneration of Critically Sized Bone Defects
Biomolecules · 2022
- High-content image analysis to study phenotypic heterogeneity in endothelial cell monolayers
Journal of Cell Science · 2022
- Continuously perfusable, customisable and matrix-free vasculature on a chip platform
bioRxiv (Cold Spring Harbor Laboratory) · 2022
- High content image analysis in routine diagnostic histopathology predicts outcomes in HPV-associated oropharyngeal squamous cell carcinomas
medRxiv · 2022
- 390 Assessing Biocompatibility & Mechanical Testing of 3D-Printed PEEK Versus Milled PEEK in Maxillofacial Surgical Applications
British journal of surgery · 2022
- bioRxiv (Cold Spring Harbor Laboratory)×4
- Zenodo (CERN European Organization for Nuclear Research)×2
- Journal of Tissue Engineering×1
- npj Systems Biology and Applications×1
- Heliyon×1
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
Claim or correct this profile