Applications of Aritificial Immune Systems

Causes of death in patients with complete heart block and aritificial pacemakers.

Semantic Preserving Data Reduction using Artificial Immune Systems

Artificial Immune Systems (AIS) can be defined as soft computing systems inspired by immune system of vertebrates. Immune system is an adaptive pattern recognition system. AIS have been used in pattern recognition, machine learning, optimization and clustering. Feature reduction refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encoun...

CRISPR-Cas: the effective immune systems in the prokaryotes

Approximately all sequenced archaeal and half of eubacterial genomes have some sort of adaptive immune system, which enables them to target and cleave invading foreign genetic elements by an RNAi-like pathway. CRISPR–Cas (clustered regularly interspaced short palindromic repeats–CRISPR-associated proteins) systems consist of the CRISPR loci with multiple copies of a short repeat sequence separa...

The application and mechanism of CRISPR-Cas systems in the treatment of infectious diseases

Infectious diseases remain a global threat with many people annually contracting the epidemic diseases. Improved understanding of the pathogenesis of bacteria, viruses, fungi, and parasites, along with rapid diagnosis and treatment of human infections are essential to improving infectious diseases outcomes worldwide. In many genomic loci in bacteria and archea, termed Clustered Regularly Inters...

STLR: a novel danger theory based structural TLR algorithm

Artificial Immune Systems (AIS) have long been used in the field of computer security and especially in Intrusion Detection systems. Intrusion detection based on AISs falls into two main categories. The first generation of AIS is inspired from adaptive immune reactions but, the second one which is called danger theory focuses on both adaptive and innate reactions to build a more biologically-re...