Clover Biosoft accesses tailor-made business opportunities with AB InBev

Author: Manuel J. Arroyo Pulgar On 19-20 February 2020, companies supported under the European Innovation Council (EIC) had the opportunity to accelerate their business collaborating with AB InBev, the world’s leading brewer and one of Europe’s biggest food and drinks companies. AB InBev opened its doors to 32 SMEs to pitch and present their business Read more about Clover Biosoft accesses tailor-made business opportunities with AB InBev[…]

The ESKAPE bacteria group and its clinical importance

Author: Manuel J. Arroyo Pulgar Health care-associated infections (HAIs) occur when receiving health care for another condition [1]. These infections can happen in any health-care facility and can be caused by any pathogen. A bigger problem in these HAIs is when the pathogen that caused the infection has an antibiotic resistance, something we talked about Read more about The ESKAPE bacteria group and its clinical importance[…]

Alarming news in CDC’s 2019 Antibiotic Resistance Threats Report

Author: Manuel J. Arroyo Pulgar Centers for Disease Control and Prevention (CDC) just released the 2019 Antibiotic Resistance Threats Report in the United States. It includes statistics about infection due to resistant microorganisms in the U.S., an updated threats list about new antibiotic resistances and a lot of interesting complementary information about this worldwide problem, Read more about Alarming news in CDC’s 2019 Antibiotic Resistance Threats Report[…]

Health alert in Spain issued by Listeria monocytogenes

Authors: Manuel J. Arroyo Pulgar, Verónica Sánchez Mercado Listeriosis is an infection caused by a pathogenic bacterium called Listeria monocytogenes. Is one of the most virulent foodborne pathogens and in hight-risk individuals like pregnant women, older adults and people whose immune systems are compromised. In these population, the infection can be mortal and, in the Read more about Health alert in Spain issued by Listeria monocytogenes[…]

Using of MALDI-TOF in hospitals

Authors: Buyun Qi, Alfonso García Naranjo, Manuel J. Arroyo Pulgar In our first post ‘World alert: Antimicrobial resistance‘ we discussed about the problem of antimicrobial resistance and the difficulty of fighting these infections, as well as the laborious and time-consuming current methods to identify these microorganisms. On the other hand, MALDI-TOF MS is a recent Read more about Using of MALDI-TOF in hospitals[…]

World alert: Antimicrobial resistance

Authors: Alfonso García Naranjo, Buyun Qi, Manuel J. Arroyo Pulgar World Health Organization (WHO) defines the antimicrobial resistance as the change in microorganisms such as bacteria, viruses, fungi and parasites, that render ineffective the medications used to cure the infections they cause [1]. WHO states this a major concern because a resistant infection may kill, Read more about World alert: Antimicrobial resistance[…]

Bacteria characterization in ballast water using MALDI-TOF MS

Today, 22 March, is the World Water Day. It was created by the United Nations in 1993 to highlight the importance of fresh water, a resource that is not as reachable as it seems, unfortunately. It is essential for sustainable development and it plays a key role in poverty reduction, economic growth and the well-being Read more about Bacteria characterization in ballast water using MALDI-TOF MS[…]

Susceptibility testing with MALDI-TOF MS

Bacterial infections are one of the most common causes of death worldwide. That is why fast and correct therapies are a really important key for the survival of patients with such kind of diseases. Matrix-assisted laser desorption ionization time-of-flight mass spectrometry entered the microbiological field some years ago, and since then, it has become an Read more about Susceptibility testing with MALDI-TOF MS[…]

Classification and identification of proteomic biomarkers with Machine Learning

Mass spectrometry technique is already known for its targeted, non-targeted and high throughput abilities that give it a great potential as a tool for proteomics data analysis. However, the quantification and identification methods that are used generate large amounts of data. At this point, a computational approach is required, and machine learning is one of Read more about Classification and identification of proteomic biomarkers with Machine Learning[…]