Cesare Rollo
Overview
Explore the profile of Cesare Rollo including associated specialties, affiliations and a list of published articles.
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Articles
9
Citations
20
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0
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Recent Articles
1.
The specification game: rethinking the evaluation of drug response prediction for precision oncology
Codice F, Pancotti C, Rollo C, Moreau Y, Fariselli P, Raimondi D
J Cheminform
. 2025 Mar;
17(1):33.
PMID: 40087708
Precision oncology plays a pivotal role in contemporary healthcare, aiming to optimize treatments for each patient based on their unique characteristics. This objective has spurred the emergence of various cancer...
2.
Rollo C, Pancotti C, Sartori F, Caranzano I, DAmico S, Carota L, et al.
Comput Methods Programs Biomed
. 2025 Jan;
261:108605.
PMID: 39874934
Background And Objectives: Several computational pipelines for biomedical data have been proposed to stratify patients and to predict their prognosis through survival analysis. However, these analyses are usually performed independently,...
3.
Giannino G, Giacobbe F, Annone U, Ravetti E, Rollo C, Nebiolo M, et al.
J Cardiovasc Pharmacol
. 2024 Sep;
84(6):581-589.
PMID: 39259210
Beta-blockers are a crucial part of post-myocardial infarction (MI) pharmacological therapy. Recent studies have raised questions about their efficacy in patients without reduced left ventricular ejection fraction (LVEF). This study...
4.
DAmico S, DallOlio L, Rollo C, Alonso P, Prada-Luengo I, DallOlio D, et al.
JCO Clin Cancer Inform
. 2024 Jun;
8:e2400008.
PMID: 38875514
Purpose: Rare cancers constitute over 20% of human neoplasms, often affecting patients with unmet medical needs. The development of effective classification and prognostication systems is crucial to improve the decision-making...
5.
Pancotti C, Rollo C, Codice F, Birolo G, Fariselli P, Sanavia T
Bioinformatics
. 2024 May;
40(5).
PMID: 38754097
Motivation: Mutational signatures are a critical component in deciphering the genetic alterations that underlie cancer development and have become a valuable resource to understand the genomic changes during tumorigenesis. Therefore,...
6.
Rollo C, Pancotti C, Birolo G, Rossi I, Sanavia T, Fariselli P
Comput Biol Med
. 2024 Mar;
172:108288.
PMID: 38503094
Data sharing among different institutions represents one of the major challenges in developing distributed machine learning approaches, especially when data is sensitive, such as in medical applications. Federated learning is...
7.
Giacobbe F, Giannino G, Annone U, Morena A, Di Vita U, Carmagnola L, et al.
Int J Cardiol
. 2024 Mar;
405:131933.
PMID: 38437950
Background: The impact of statin therapy on cardiovascular outcomes after ST-elevation acute myocardial infarction (STEMI) in real- world patients is understudied. Aims: To identify predictors of low adherence and discontinuation...
8.
Influence of Model Structures on Predictors of Protein Stability Changes from Single-Point Mutations
Rollo C, Pancotti C, Birolo G, Rossi I, Sanavia T, Fariselli P
Genes (Basel)
. 2023 Dec;
14(12).
PMID: 38137050
Missense variation in genomes can affect protein structure stability and, in turn, the cell physiology behavior. Predicting the impact of those variations is relevant, and the best-performing computational tools exploit...
9.
Ferrini S, Rollo C, Bellino C, Borriello G, Cagnotti G, Corona C, et al.
J Vet Intern Med
. 2023 Mar;
37(2):766-773.
PMID: 36896810
Background: Central nervous system (CNS) infections in cattle are a major cause of economic loss and mortality. Machine learning (ML) techniques are gaining widespread application in solving predictive tasks in...
10.
Pancotti C, Rollo C, Birolo G, Benevenuta S, Fariselli P, Sanavia T
Front Genet
. 2023 Jan;
13:1049501.
PMID: 36685831
The high cosine similarity between some single-base substitution mutational signatures and their characteristic flat profiles could suggest the presence of overfitting and mathematical artefacts. The newest version (v3.3) of the...