Due to the misuse and abuse of antibiotics, antimicrobial resistance (AMR) is a worldwide epidemic, with a projection of 10 million deaths annually, by 2050. AMR leads to longer hospitalizations andhigher medical costs. Bacterial cultures, the staple diagnostic method of AMR, present important drawbacks, such as a long turnaround time, low sensitivity, and the requirement to have prior information on the causative bacteria; leading to inefficient treatment, antibiotic changes and AMR.
Hence, it is critical to develop novel diagnostic methods offering a faster, high-sensitive alternative to bacterial cultures. While several systems are currently being developed, they require costly equipment and specialized training, limiting its use.
Thus, the ResisChip project aims at developing a high-sensitive AMR detection approach that will allow the fast identification of a wide range of clinically-relevant pathogens and resistance genes without the need of prior knowledge on the pathogen. The ResisChip project has focused on validating the first prototype of the detection system, and to identify the market potential of this disruptive approach. Once developed, the ResisChip technology can represent a breakthrough in the fight against AMR, allowing to precisely define the antibiotic of choice for the treatment of infections.