Li, Mei Zhang, Likun Wang, Yingcui Xu, Xiaohong
Published in
SLAS technology
In order to evaluate the relationship between coronary heart disease (CHD) and fractional flow reservation (FFR) in patients with different levels of CHD and diabetes, this paper used AI (artificial intelligence) post-processing technology to detect CHD and FFR. In this paper, 94 patients suspected of CHD who underwent coronary arteriography (CAG) ...
LIU, YONGKANG AL KALAA, MOHAMAD OMAR
Published in
IEEE access : practical innovations, open solutions
The fifth-generation (5G) cellular communication technology introduces technical advances that can expand medical device access to connectivity services. However, assessing the safety and effectiveness of emerging 5G-enabled medical devices is challenging as relevant evaluation methods have not yet been established. In this paper, we propose a desi...
Gaschi, Félix Rastin, Parisa Toussaint, Yannick
Previous literature has shown that it is possible to align word embeddings from different languages with unsupervised methods based on a distance-preserving mapping, with the assumption that the embeddings are isometric. However, these methods seem to work only when both embeddings are trained on the same domain. Nonetheless, we hypothesize that th...
Krallinger, Martin Krithara, Anastasia Nentidis, Anastasios Paliouras, Georgios Villegas, Marta
Published in
Advances in Information Retrieval
This paper describes the eighth edition of the BioASQ Challenge, which will run as an evaluation Lab in the context of CLEF2020. The aim of BioASQ is the promotion of systems and methods for highly precise biomedical information access. This is done through the organization of a series of challenges (shared tasks) on large-scale biomedical semantic...
Zhang, Qi Peters, Terry Fenster, Aaron
Published in
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Modern microscopes can acquire multi-channel large histological data from tissues of human beings or animals, which contain rich biomedical information for disease diagnosis and biological feature analysis. However, due to the large size, fuzzy tissue structure, and complicated multiple elements integrated in the image color space, it is still a ch...
COMBES, François MENTRE, France
FR
COMBES, François MENTRE, France
Les modèles non-linéaires à effets mixtes sont très utilisés en pharmacométrie. Ils permettent entre autres d'estimer les paramètres individuels par la méthode Bayésienne du maximum a posteriori. Le protocole, c'est-à-dire le nombre de prélèvements par patient et l'heure des prélèvements, influe sur la précision d'estimation des paramètres individu...
GAYAT, Etienne PORCHER, Raphaël
FR
MATHIEU, Sylvain RAVAUD, Philippe
FR
POELS-ESTELLAT, Candice RAVAUD, Philippe TUBACH, Florence
Le choix du traitement comparateur dans un essai clinique (EC) influence son intérêt scientifique et son acceptabilité éthique liée aux risques auxquels sont exposés les patients du groupe contrôle. A partir de l'exemple de l'évaluation des biothérapies dans la polyarthrite rhumatoïde, l'analyse des comparateurs utilisés dans les EC lorsqu'il exist...