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Daniela Matei on Muck Rack

Daniela Matei

As seen in: Nature, MDPI, NEJM Clinician, The Lancet, Cell Press, EIN News, HemOnc Today, NewsBreak, The Journal of Clinical Investigation, EIN Presswire and
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Articles

Phase Ib trial of SL-172154, a bispecific CD47 inhibitor and CD40 agonist Fc-fusion protein, in combination with mirvetuximab soravtansine or pegylated liposomal doxorubicin in patients with platinum-resistant ovarian cancer

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By Yvette Drew, Lucy Gilbert, Alejandro Bueno, Ana Oaknin, Victor Moreno, Lydia Garcia, Gordon C Jayson, Rebecca S Kristeleit, Nehal Lakhani, Susana Banerjee, Daniela Matei, Amit M Oza, Rowan Miller, Dennis Yiannakis, Jerónimo García, Guanfang Wang, Debra Richardson, Maria-Pilar Barretina-Ginesta, Jayalakshmi Miriyala, Amy Franke, Elisa Galvez, Lini Pandite
| Nature Verified
Abstract Platinum resistant ovarian cancer (PROC) is associated with poor survival. This clinical trial sought to determine whether the bispecific CD47 inhibitor and CD40 agonist, SL-172154, could be combined safely and improve the efficacy of mirvetuximab (MIRV) or pegylated liposomal doxorubicin (PLD) through enhanced tumor cell phagocytosis and antigen presentation to T cells.
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The Use of Artificial Intelligence (AI) in the Management of Medical Rehabilitation Programs

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By Catalina Mihaela Luca, Ilie Onu, Daniela Matei, Sardaru Dragos
| Preprints.org
Submitted: 03 February 2026 You are already at the latest version The adoption of AI technologies in rehabilitation is transforming physiotherapy, enabling more accurate, streamlined, and personalized treatment strategies. While virtual reality (VR) and robotics have already brought significant advancements to the field, AI elevates rehabilitation by offering data-driven insights, real-time patient monitoring, and adaptive treatment plans.
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Intrauterine Adhesions and Asherman Syndrome: A Retrospective Dive into Predictive Risk Factors, Diagnosis, and Surgical Perspectives

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By Loredana Toma, Demetra Socolov, Daniela Matei, Sorana Anton
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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