output
20052025
most citedReliability assessment in advanced nanocomposite materials for orthopaedic applications

77 citations

9 papers

physics.med-ph2025

Spectral micro-CT for quantitative analysis of calcification in fibrocartilage

Vittoria Mazzini, Paolo Cardarelli, Andrew L. Coathup +6

This work introduces a quantitative method for assessing calcification in fibrocartilage using spectral micro-computed tomography (CT). Tissue samples of hip acetabular labrum f…

physics.med-ph2025

Contrast-enhanced X-ray imaging of articular cartilage: reliability of a cationic contrast agent in combination with high-resolution peripheral quantitative computed tomography system

S. Fantoni, M. Berni, R. Fognani +4

Articular cartilage showcases distinctive mechanical behaviour, attributable to its biphasic composition and hierarchical organization. Proteoglycans, essential constituents of the…

physics.med-ph2025

Advanced X-rays techniques for research-oriented high-resolution imaging of articular cartilage: a scoping review

Simone Fantoni, Luca Brombal, Paolo Cardarelli +1

Articular cartilage is a musculoskeletal soft tissue renowned for its unique mechanical properties. Understanding both its hierarchical structure and the interplay between its cons…

q-bio.QM2025★ 7 cited

Consensus statement on the credibility assessment of ML predictors

Alessandra Aldieri, Thiranja Prasad Babarenda Gamage, Antonino Amedeo La Mattina +4

The rapid integration of machine learning (ML) predictors into in silico medicine has revolutionized the estimation of quantities of interest (QIs) that are otherwise challenging t…

physics.bio-ph2021★ 64 cited

Possible Contexts of Use for In Silico trials methodologies: a consensus-based review

Marco Viceconti, Luca Emili, Payman Afshari +15

The term "In Silico Trial" indicates the use of computer modelling and simulation to evaluate the safety and efficacy of a medical product, whether a drug, a medical device, a diag…

q-bio.QM2021★ 1 cited

Verification of an agent-based disease model of human mycobacterium tuberculosis infection

Cristina Curreli, Francesco Pappalardo, Giulia Russo +5

Agent-Based Models are a powerful class of computational models widely used to simulate complex phenomena in many different application areas. However, one of the most critical asp…