Distinguished in Small Cell Lung Cancer (SCLC)

Diego Signorelli

Milan, IT 
Distinguished in Small Cell Lung Cancer (SCLC)
Milan, IT 
OverviewLocationsClinical Research

Overview

Diego Signorelli practices in Milan, Italy. Mr. Signorelli is rated as a Distinguished expert by MediFind in the treatment of Small Cell Lung Cancer (SCLC). His top areas of expertise are Lung Cancer, Non-Small Cell Lung Cancer (NSCLC), Small Cell Lung Cancer (SCLC), and Lung Metastases.

His clinical research consists of co-authoring 98 peer reviewed articles and participating in 1 clinical trial. MediFind looks at clinical research from the past 15 years. In particular, he has co-authored 5 articles in the study of Small Cell Lung Cancer (SCLC).

Gender
Male

Locations

Milan, Italy
Other Locations
Rome, Italy

Clinical Research

Clinical research consists of overseeing clinical studies of patients undergoing new treatments and therapies, and publishing articles in peer reviewed medical journals. Experts who actively participate in clinical research are generally at the forefront of the fields and aware of the most up-to-date advances in treatments for their patients.

1 Clinical Trials

LIBRETTO-432: A Placebo-controlled Double-Blinded Randomized Phase 3 Study of Adjuvant Selpercatinib Following Definitive Locoregional Treatment in Participants With Stage IB-IIIA RET Fusion-Positive NSCLC
LIBRETTO-432: A Placebo-controlled Double-Blinded Randomized Phase 3 Study of Adjuvant Selpercatinib Following Definitive Locoregional Treatment in Participants With Stage IB-IIIA RET Fusion-Positive NSCLC
Enrollment Status: Active_not_recruiting
Publish Date: July 24, 2025
Intervention Type: Drug
Study Drug: Selpercatinib
Study Phase: Phase 3

98 Total Publications

Long-term outcomes from pembrolizumab monotherapy in patients with advanced NSCLC, PD-L1 expression ≥ 50 %, and poor performance status: Transformer-based AI to characterize prognostic complexity.
Long-term outcomes from pembrolizumab monotherapy in patients with advanced NSCLC, PD-L1 expression ≥ 50 %, and poor performance status: Transformer-based AI to characterize prognostic complexity.
Journal: Lung cancer (Amsterdam, Netherlands)
Published: August 17, 2025

Areas of Expertise

MediFind evaluates expertise by pulling from factors such as number of articles a doctor has published in medical journals, participation in clinical trials, speaking at industry conferences, prescribing and referral patterns, and strength of connections with other experts in their field.

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