====== ONCOhabitats ======

https://www.oncohabitats.upv.es/

ONCOhabitats want to help health professionals, researchers, and companies discover the potential of [[artificial intelligence]].

The [[Biomedical Data Science Lab]] (BDSLab) is an interdisciplinary research line of the ITACA Institute at Universitat Politècnica de [[Valencia]] (UPV) committed to biomedical [[computer science]] since its creation in [[2000]]. With more than 13 years of experience, the BDSLab focuses its research on fundamental problems in biomedical [[data mining]] by means of the advanced pattern [[recognition]] and [[machine learning]] techniques, computational [[prediction]], and the development of tools to support healthcare professionals and their [[patient]]s.

The services have been retrospectively evaluated in hospitals in [[Spain]], [[Italy]], [[Belgium]], and [[Norway]] in the  [[NCT03439332]] [[Clinical Study]]. 
Robust association between vascular habitats and patient prognosis in glioblastoma: An international multicenter study
((Alvarez-Torres, Maria del Mar. et al. (2020) ‘Robust association between vascular habitats and patient prognosis in glioblastoma: An international multicenter study’, Journal of Magnetic Resonance Imaging, 51(5), pp. 1478–1486. Available at: https://doi.org/10.1002/jmri.26958.)).

see [[Glioblastoma pathology]].

see [[Vascular habitats]]
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ONCOhabitats have been carried out within the ALBATROSS (PID2019-104978RB-I00) and SINUE (INNEST/2022/87) projects.
 

Currently, ONCOhabitats is being validadated by the clinical study “Evaluación de la viabilidad de ONCOhabitats para ayudar a la planificación de la cirugía y el tratamiento en pacientes con Glioblastoma, tipo IDH-wild (INNEST/2022/87)”. This clinical validation has been funded by ALBATROSS project (PID2019-104978RB-100 – Agencia Estatal de Investigación) and SINUÉ project (INNEST/2022/87 – Agencia Valenciana de la Innovación).

===== Segmentation services =====

[[MRI]] preprocessing in combination with automated [[segmentation]] of enhancing [[tumor]], necrotic core, and [[edema]] based on [[Convolutional Neural Network]]s.


===== Biomarker quantification services =====

Functional assessment of biological imaging markers from perfusion and diffusion magnetic resonance sequences for the quantitative evaluation of tumor physiological features.


===== Vascular Heterogeneity Assessment =====

Delineation of functional habitats within the glioblastoma that describe the biomarker heterogeneity of the tumor. Includes all the modules of the Anatomical service

ONCOhabitats is totally FREE