This project, promoted by Coresys Health, aims to enhance the capabilities of medical monitors to monitor the inflammatory response, through the analysis of heart rate variability (HRV) de- rived from the electrocardiogram ...

In recent years, the demand for alternative medical diagnostics of the human kidney or renal is growing, and some of the reasons behind this relate to its non-invasive, early, real-time, and pain-free mechanism. The chronic ...

On the one hand, clinical trials are of great importance in discovering new treatments for diseases. They teach research things that cannot be learned in the laboratory, that is, what does and does not work in humans. ...

Modern clinical environments are laden with technology devices continuously gathering physiological data from patients. This is especially true in critical care environments, where life-saving decisions may have to be made ...

Skin cancer is a major public health issue with millions of cases diagnosed around the world. Melanoma is the most mortal form of skin cancer and causes the highest percentage of deaths. Although the mortality rate for ...

Unas décadas atrás, nació Deep Learning, una técnica que revolucionó el mundo de la Inteligencia Artificial tal y como se conocía. Esta imita el funcionamiento neuronal de un cerebro humano para clasificar conjuntos de ...

Sentinel lymph node status is a crucial prognosis factor for melanomas; nonetheless, the invasive surgery required to obtain it always puts the patient at risk. In this study, we develop a Deep Learning-based approach to ...

Traditional psychiatric hospitalization models have been criticized for being restrictive and for violating fundamental rights, which can be counterproductive for long-term patient recovery. In response to this situation, ...

Technological and medical advances in recent decades have promoted a lengthening of life expectancy, leading to an increase in age-associated cognitive diseases. As a result, there is a growing interest in efficient and ...