System based on an algorithm that allows for highly accurate diagnosis of breast cancer through the analysis of stochastic intracellular fluctuations of tumor cells, using images obtained through digital microscopy.
Live attenuated vaccine incorporating a variant of the Rift Valley Fever virus obtained in the laboratory by serial passages in the presence of a mutagenic agent, that could be the basis of a new vaccine strain with safety parameters not previously described.
In vitro method to assess the fertilizing capacity of spermatozoa and select those of better quality and with the ability to penetrate the zona pellucida (ZP) of the oocyte and fertilize it.
New carbon nanocapsules filled with enriched lithium compounds that can be applied in NCT for cancer treatment
A conjugate of fatty acids and amino acids has been found to protect neurons and facilitate the removal of protein aggregates that cause the most common neurodegenerative diseases. This opens the possibility of new, more effective and cheap treatments.
Novel polysaccharides that are effective in treatment and prevention of viral infections. These compounds are mimics of heparan sulfates present in cells. They act as decoy trap preventing the virus from adhering to epithelial cells, thus slowing down the process of infection.
Alkali-activated cement with a low carbon footprint as sustainable alternative to Portland cement for the immobilization of low and intermediate level radioactive waste. It could also be implemented for the management of toxic and/or hazardous waste.
A signal amplification method for the simultaneous detection of respiratory RNA viruses in complex samples. The combination of molecular beacon technology and enzymatic digestion has proved to be a highly specific, cost-effective and fast alternative for detecting viral pathogens.
Low-cost method with high effectiveness for the diagnosis and prognosis of thyroid cancers that are difficult to resolve during preoperative evaluation. It provides a malignancy score measuring the methylation level of various CpG sites determined by a machine learning classification system.