Paola M.V. Rancoita

Assiociate Professor in Medical Statistics

Università Vita Salute San Raffaele

Italy

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About

Paola M.V. Rancoita is an Associate Professor in Medical Statistics at Università Vita-Salute San Raffaele, Italy. Her research focuses on advanced statistical methods in medical imaging, the immunological reprogramming of tumors, and the evaluation of treatment responses in cancer patients. Recent publications include studies on glioblastoma microenvironments, CT-derived predictive markers for COVID-19 patient survival, and the personalization of radiotherapy for breast cancer patients.

Articles (10)

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2022

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2021

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2021

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Collaborators (6)

Chiara Brombin

Assistant Professor in Statistics SECS-S/01 (RTD-B)

Università Vita Salute San Raffaele

ITALY

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Mario Leonardo Squadrito

Vita-Salute San Raffaele University

ITALY

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Andrea Annoni

San Raffaele Telethon Institute for Gene Therapy

ITALY

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Stefano Beretta

San Raffaele Telethon Institute for Gene Therapy

ITALY

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andrea falini

Professor of Neuroradiology

Università Vita Salute San Raffaele

ITALY

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Lorenzo Bello

Università degli Studi di Torino

ITALY

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Paola M.V. Rancoita

Research Interests

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About

Articles (10)

Targeted inducible delivery of immunoactivating cytokines reprograms glioblastoma microenvironment and inhibits growth in mouse models

Along-tract statistics of neurite orientation dispersion and density imaging diffusion metrics to enhance MR tractography quantitative analysis in healthy controls and in patients with brain tumors

Impact of molecular subtype on 1325 early-stage breast cancer patients homogeneously treated with hypofractionated radiotherapy without boost: Should the indications for radiotherapy be more personalized?

Laboratory-Scale Lentiviral Vector Production and Purification for Enhanced <i>Ex Vivo</i> and <i>In Vivo</i> Genetic Engineering.

Chest CT-derived pulmonary artery enlargement at the admission predicts overall survival in COVID-19 patients: insight from 1461 consecutive patients in Italy.

Hematopoietic Tumors in a Mouse Model of X-linked Chronic Granulomatous Disease after Lentiviral Vector-Mediated Gene Therapy.

Feature tracking and mapping analysis of myocardial response to improved perfusion reserve in patients with refractory angina treated by coronary sinus Reducer implantation: a CMR study.

MRI prediction of pathological response in locally advanced rectal cancer: when apparent diffusion coefficient radiomics meets conventional volumetry.

Modelling centralization of pancreatic surgery in a nationwide analysis.

Dual tracer 68Ga-DOTATOC and 18F-FDG PET/computed tomography radiomics in pancreatic neuroendocrine neoplasms: an endearing tool for preoperative risk assessment.

Collaborators (6)

Chiara Brombin

Mario Leonardo Squadrito

Andrea Annoni

Stefano Beretta

andrea falini

Lorenzo Bello

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