Diagnostic accuracy of case-identification algorithms for heart failure in the general population using routinely collected health data: a systematic review.

Autor: Andreano, Anita¹ (AUTHOR) aandreano@ats-milano.it, Lepore, Vito² (AUTHOR) leporevito792@gmail.com, Magnoni, Pietro¹ (AUTHOR) pmagnoni@ats-milano.it, Milanese, Alberto¹ (AUTHOR) amilanese@ats-milano.it, Fanizza, Caterina² (AUTHOR) c.fanizza@aress.regione.puglia.it, Testa, Deborah¹ (AUTHOR) dtesta@ats-milano.it, Musa, Alessandro² (AUTHOR) a.musa@aress.regione.puglia.it, Zanfino, Adele¹ (AUTHOR) azanfino@ats-milano.it, Rebora, Paola³ (AUTHOR) paola.rebora@unimib.it, Bisceglia, Lucia² (AUTHOR) l.bisceglia@aress.regione.puglia.it, Russo, Antonio Giampiero¹ (AUTHOR) agrusso@ats-milano.it, the PROPHET-I study group (AUTHOR), Bussa, Martino (AUTHOR), Mazzali, Cristina (AUTHOR), Occhino, Giuseppe (AUTHOR), Petrosino, Matteo (AUTHOR), Valsecchi, Maria Grazia (AUTHOR)

Publikováno v: Systematic Reviews. 12/24/2024, Vol. 13 Issue 1, p1-17. 17p.

Envision Healthcare Announces Dominic Andreano as General Counsel

Autor: Envision Healthcare

Publikováno v: Business Wire (English). 06/24/2024.

Deep-learning image analysis for high-throughput screening of opsono-phagocytosis-promoting monoclonal antibodies against Neisseria gonorrhoeae

Autor: Fabiola Vacca, Dario Cardamone, Emanuele Andreano, Duccio Medini, Rino Rappuoli, Claudia Sala

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)

Abstract Antimicrobial resistance (AMR) is nowadays a global health concern as bacterial pathogens are increasingly developing resistance to antibiotics. Monoclonal antibodies (mAbs) represent a powerful tool for addressing AMR thanks to their high s

Externí odkaz: https://doaj.org/article/c6d3d60736d248f3a21ffb09fcea915a

Functional diversification of innate and inflammatory immune responses mediated by antibody fragment crystallizable activities against SARS-CoV-2

Autor: Martina Severa, Marilena Paola Etna, Emanuele Andreano, Daniela Ricci, Giada Cairo, Stefano Fiore, Andrea Canitano, Andrea Cara, Paola Stefanelli, Rino Rappuoli, Anna Teresa Palamara, Eliana Marina Coccia

Publikováno v: iScience, Vol 27, Iss 5, Pp 109703- (2024)

Summary: Monoclonal antibodies (mAb) targeting the SARS-CoV-2 Spike (S) glycoprotein have been exploited for the treatment of severe COVID-19. In this study, we evaluated the immune-regulatory features of two neutralizing anti-S mAbs (nAbs), named J0

Externí odkaz: https://doaj.org/article/36527309821042d4bfdb8dadf3e37891

Machine Learning Assisted Tensile Strength Prediction and Optimization of Ti Alloy

Autor: Jaka Fajar Fatriansyah, Muhamad Rafi Aqila, Iping Suhariadi, Andreas Federico, Dzaky Iman Ajiputro, Agrin Febrian Pradana, Yossi Andreano, Muhammad Ali Yafi Rizky, Donanta Dhaneswara, Zainovia Lockman, Su-Mi Hur

Publikováno v: IEEE Access, Vol 12, Pp 119660-119670 (2024)

Understanding the link between material composition and mechanical properties is crucial for material design and optimization. This study utilized four machine learning models—K-Nearest Neighbor (KNN), Support Vector Regression (SVR), Extreme Gradi

Externí odkaz: https://doaj.org/article/d494352c5b124f51befae9325641fd1c