Gemma Fuster

Unlocking DCIS lesions progression to prevent women overtreatment and improving their sexual and reproductive health impact

Research team Gemma Fuster, Laia Bosch-Pressegué, Cristina Martín, Antoni Parcerisas, Neus Carbó, Patrícia-Fernàndez-Nogueira, Èric Calatayud, Mónica Marro and Clara Martínez in the UVIC-UCC and IRIS-CC. Also Researcher at Vall Hebrón Research Institute leaded by Dr. Vicente Peg, and in Hospital Germans Trias i Pujol, leaded by Dr. Aintzane [...]

Role of semaphorins, neuropilins and plexins in cancer progression

Role of semaphorins, neuropilins and plexins in cancer progression Authors: Patricia Fernández-Nogueira, Paula Linzoain-Agos, M. Cueto-Remacha, I. De la Guia-Lopez, Leire Recalde-Percaz, Antoni Parcerisas, Pere Gascón, Neus Carbó, Álvaro Gutiérrez-Uzquiza, Gemma Fuster, Paloma Bragado,. Abstract SEMAs and their receptors PLXNs and NRPs are implicated [...]

2024-12-20T09:27:10+01:00November 13, 2024|2024, Articles, Articles 2024, Gemma Fuster|

The SEMA3F-NRP1/NRP2 axis is a key factor in the acquisition of invasive traits in in situ breast ductal carcinoma

The SEMA3F-NRP1/NRP2 axis is a key factor in the acquisition of invasive traits in in situ breast ductal carcinomaintegrated care Authors: Núria Moragas, Patricia Fernandez-Nogueira, Leire Recalde-Percaz, Jamie L. Inman, Anna López-Plana, Helga Bergholtz, Aleix Noguera-Castells, Pedro J. del Burgo, Xieng Chen, Therese Sorlie, Pere Gascón, Paloma Bragado, [...]

2024-12-20T09:27:52+01:00October 31, 2024|2024, Articles 2024, Gemma Fuster|

Predictive capacity for local disease control of neogenin-1 (NEO1) transcriptional expression in patients with head and neck squamous cell carcinoma

Gemma Fuster has just published a research article in collaboration with Hospital de Sant Pau and Hospital Clínic where the researchers analyse the predictive capacity for local disease control of the transcriptional expression of the neogenin-1 (NEO1) gene in patients with head and neck squamous cell carcinoma (HNSCC). [...]

The metamaterial formalism approach to recognize cancer (TETRA)

Original Title (English): "The metamaterial formalism approach to recognize cancer (TETRA)" Objective: establish the material formalism approach as a standardized and accepted method for the detection of cancer without the need for human intervention. Key words: Metamaterial, Cancer, Artificial Intelligence,Machine Learning, Permittivity TR2Lab research team members: Gemma Fuster [...]

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