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Biomedical subjects

Alessandro Rizzo

Publications and source records attributed to Alessandro Rizzo.

3 recordsLinked to original sources

Liquid biopsy for biliary tract cancer: available evidence and future research directions.

INTRODUCTION: Biliary tract cancers (BTCs) are molecularly heterogeneous, and early genomic profiling is becoming increasingly important for treatment decisions. Because tissue sampling is often limited or inadequate, there is a clear need for minimally invasive biomarkers that can support treatment selection and longitudinal disease assessment. AREAS COVERED: This narrative review summarizes current and emerging liquid-biopsy (LB) applications in BTC, with a primary focus on plasma circulating tumor DNA (ctDNA). The evidence base was assembled through targeted searches of PubMed/MEDLINE and Embase up to 1 February 2026, supported by selective ClinicalTrials.gov searches for ongoing biomarker-driven studies. We discuss ctDNA-based molecular profiling for actionable alterations, its prognostic role including minimal residual disease assessment, and its use in serial monitoring of treatment response and acquired resistance. We also consider how LB may support clinical-trial enrichment and biomarker-guided endpoints, and briefly review complementary approaches using bile and other analytes, while highlighting current evidence gaps. EXPERT OPINION: In BTC, ctDNA is best viewed as a complement to tissue-based profiling, especially when tissue is inadequate or when rapid genotyping is needed. Its broader clinical impact will depend on assay standardization, clearer interpretation frameworks for low-shedding disease, and prospective studies showing that ctDNA-guided decisions improve patient outcomes.

Humans↗

Dynamical network model of infective mobile agents.

A dynamical network (consisting of a time-evolving wiring of interactions among a group of random walkers) is introduced to model the spread of an infectious disease in a population of mobile individuals. We investigate the main properties of this model, and show that peculiar features arise when individuals are allowed to perform long-distance jumps. Such peculiarities are captured and conveniently quantified by a series of appropriate parameters able to highlight the structural differences emerging in the networks when long-distance jumps are combined with local random walk processes.

Journal Article↗

Dynamical network interactions in distributed control of robots.

In this paper the dynamical network model of the interactions within a group of mobile robots is investigated and proposed as a possible strategy for controlling the robots without central coordination. Motivated by the results of the analysis of our simple model, we show that the system performance in the presence of noise can be improved by including long-range connections between the robots. Finally, a suitable strategy based on this model to control exploration and transport is introduced.

Algorithms↗