Skip To Main Content
Marco Baroni on Muck Rack

Marco Baroni

As seen in: Medium, Nature, arXiv, Bandcamp Daily, MDPI, JAMA Network, Annual Reviews Journal, Sports Mole, Diabetes Research and Clinical Practice, hellas1903.it and
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Marco

Contact Marco, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Bone Accrual During Puberty Suppression and Gender-Affirming Therapy in Transgender Adolescents : A Systematic Review and Meta-Analysis

|
By Daniele Tienforti, Lorenzo Marinelli, Giovanni Terrana, Jeroen Vervalcke, Silvia Ciancia, Marco Baroni, Arcangelo Barbonetti, Guy T’Sjoen, Riccardo Di Geronimo, Luca Spagnolo
| JAMA Network Verified
Key Points Question What are the effects of pubertal suppression with gonadotropin-releasing hormone agonists (GnRHa) and subsequent gender-affirming hormone therapy (GAHT) on bone accrual in transgender and gender-diverse adolescents?
Open in Who Shared Issue with article?

Perotti: "Lo spareggio con la Reggina? Ecco come andò. Baroni ok per l'Hellas"

|
By Attilio Perotti, Marco Baroni
| hellas1903.it
L'ex tecnico del Verona: "Al Granillo prendemmo schiaffi tutti ma restammo in A. Marco ottima scelta" 24 giugno - 10:29 Attilio Perotti, allenatore dell'Hellas nel 1995-96, con la promozione in Serie A, e nel 2000-2001, con la salvezza colta ai playout con la Reggina, ha parlato dei gialloblù, intervistato dal "Corriere di Verona".
Open in Who Shared Issue with article?

Diagnostic performance of an artificial intelligence software for diabetic retinopathy organised screening in a pilot study

|
By Emma Altobelli, Marco Baroni, Marco Ciancaglini, Paolo Carpineto, Francesco Masedu
| Nature Verified
Abstract Diabetic retinopathy (DR) is one of the most common complications of diabetes mellitus (DM) with a prevalence that varies from 10% to 61% in different countries. From healthcare to the precise prevention, diagnosis, and management of diseases, Artificial Intelligence (AI) is progressing rapidly in interdisciplinary fields, including ophthalmology. We aimed to explore the efficacy of artificial intelligence (AI)-based screening for diabetic retinopathy in type 2 DM patients.
Open in Who Shared Issue with article?
See all 31 articles