Daniela Bernardi

Associate Professor of Radiology

Humanitas University

Italy

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About

Dr. Daniela Bernardi is an Associate Professor of Radiology at Humanitas University, Italy. Her research focuses on early breast cancer, including the use of bone-modifying agents, MRI models for presurgical assessments, and ultrasound-guided biopsies. She has contributed to several recent articles addressing topics such as radiomics, prognosis after chemotherapy, and advancements in breast imaging techniques.

Articles (10)

Year:

2025

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2025

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2025

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2024

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2024

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2024

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2023

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2023

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2023

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2022

Collaborators (5)

Anna Lene Seidler

AUSTRALIA

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Rubina Manuela Trimboli

Humanitas University

ITALY

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Marco Ettore Attilio Klinger

Università degli Studi di Torino

ITALY

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Icro Meattini

Associate Professor

University of Florence

ITALY

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Gianluigi Tiberi

London South Bank University

UNITED KINGDOM

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Daniela Bernardi

Research Interests

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Articles (10)

The use of bone-modifying agents in early breast cancer: AIOM Guidelines update and perspectives

Incorporating radiomic MRI models for presurgical response assessment in patients with early breast cancer undergoing neoadjuvant systemic therapy: Collaborative insights from breast oncologists and radiologists

Pectoralis Major Muscle 3D Volumetric Reconstruction in the Tuberous Breast: Anatomical and Radiomics Differences With Potential Surgical Impact

Follow-up of early breast cancer in a public health system: A 2024 AIGOM consensus project.

Role of ultrasound-guided vacuum-assisted breast biopsy in the management of radiologic-pathologic discordance: a retrospective single-centre study

Performance of dual-energy subtraction in contrast-enhanced mammography for three different manufacturers: a phantom study

Reply to "Contrast-Enhanced Mammography, a Diagnostic and Follow-Up Method With Potential Research Opportunities"

A multicentric, single arm, prospective, stratified clinical investigation to evaluate MammoWave’s ability in breast lesions detection

Pathologic response and residual tumor cellularity after neo-adjuvant chemotherapy predict prognosis in breast cancer patients

An individual participant data meta-analysis of breast cancer detection and recall rates for digital breast tomosynthesis versus digital mammography population screening

Collaborators (5)

Anna Lene Seidler

Rubina Manuela Trimboli

Marco Ettore Attilio Klinger

Icro Meattini

Gianluigi Tiberi

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