Franco Locatelli

clinTALL: machine learning-driven multimodal subtypeclassification and treatment outcome prediction in pediatric T-ALL

clinTALL is a deep learning framework that classifies pediatric T-ALL subtypes and predicts treatment outcomes using multimodal data, achieving high accuracy and concordance indices.

Systemic-to-mucosal trafficking of memory B cells contributes to humoral immunity in the upper respiratory tract

The paper shows that systemic memory B cells traffic to mucosal sites in the upper respiratory tract, contributing to local immunity, and that antigen-specific B cells accumulate there only during local inflammation.

Single-cell multiomic profiling reveals lineage plasticity in pediatric B-lineage Acute Lymphoblastic Leukemia during the early phase of treatment

This study identifies lineage plasticity in pediatric B-lineage ALL during treatment by analyzing single-cell multiomic data from mmSW-positive and negative cases.

Ubiquitin-dependent degradation of p21Waf1/Cip1 is mediated by AMBRA1 to limit DNA replication stress

This study shows that AMBRA1 promotes the ubiquitin-dependent degradation of p21Waf1/Cip1 to prevent DNA replication stress and supports its role as a prognostic marker in medulloblastoma.

Leukemic Cells Manipulate MSCs Bioelectrical Signals to Reshape the Bone Marrow Niche

This study shows that AML blasts alter MSC bioelectrical properties, leading to a pro-leukemic niche, and suggests targeting CaV1.2 could restore normal function.

COVID-19: Viral-host interactome analyzed by network based-approach model to study pathogenesis of SARS-CoV-2 infection.

The paper analyzes the viral-host interactome of SARS-CoV, MERS-CoV, and HCoV-229E using a network-based approach to predict SARS-CoV-2 pathogenesis.