The medicine of the future is in artificial intelligence and CRISPR technology!

Artificial intelligence has entered the field of biotechnology and genetic engineering, as well as every field of life. Describing the integration of artificial intelligence and CRISPR technology as a biotechnological revolution, Head of the Department of Biosafety Assoc. Prof. Kaan Yılancıoğlu stated that "Artificial intelligence can be used in the discovery of new CRISPR systems, and it can identify more effective CRISPR enzymes by scanning existing genetic databases."

Assoc. Prof. Kaan Yılancıoğlu stated that "AI-supported CRISPR technology can open new ways in the treatment of rare genetic diseases in the future and prevent aging-related diseases through genetic editing."

Üsküdar University Graduate School of Addiction and Forensic Sciences Biosafety Department Head Assoc. Prof. Kaan Yılancıoğlu gave information about how artificial intelligence is integrated with CRISPR (a gene editing method) technology.

The relationship between artificial intelligence and CRISPR technology

Stating that "Artificial intelligence (AI) and CRISPR technology are two important innovations that revolutionize the fields of biotechnology and genetic engineering," Assoc. Prof. Kaan Yılancıoğlu said that artificial intelligence plays an important role in processes such as identifying target genes, guide RNA (gRNA) design used to target genes, data analysis and interpretation to increase the effectiveness of CRISPR technology.

Artificial intelligence-based tools minimize unwanted side effects...

Stating that artificial intelligence algorithms can identify genes and mutations associated with diseases by analyzing large biological data; therefore, it enables CRISPR to be directed to more specific targets, Assoc. Prof. Kaan Yılancıoğlu expressed that "Moreover, artificial intelligence-based tools can design more sensitive guide gRNAs by minimizing unwanted side effects and analyze the results of gene editing experiments with CRISPR quickly and accurately."

It is also used in the planning of CRISPR experiments...

Pointing out that artificial intelligence is also used in the planning and optimization of CRISPR experiments, Assoc. Prof. Kaan Yılancıoğlu stated that "Machine learning algorithms learn from previous experiments and recommend the most effective experimental protocols and conditions, which accelerates the experimental process and reduces costs. Artificial intelligence also has an important contribution in developing personalized treatments based on the genetic profiles of individuals. For example, AI-based tools such as DeepCRISPR use deep learning techniques to predict the effectiveness and specificity of CRISPR guide RNAs. This integration contributes to the acceleration of genetic research, the reduction of costs and the expansion of treatment opportunities."

The effects of artificial intelligence-based tools on the development of CRISPR systems...

Noting that artificial intelligence-based tools can provide significant innovations and improvements in the development of CRISPR systems, Assoc. Prof. Kaan Yılancıoğlu stated that "Artificial intelligence algorithms help CRISPR systems identify and target genes more precisely, reducing the mistargeting of genes and preventing unwanted mutations. By designing the most effective guide RNA (gRNA) sequences, CRISPR can increase its effectiveness and minimize potential mistarget effects. Moreover, AI can quickly and effectively analyze large and complex data sets, predicting the success rate of edits and interpreting the results. This helps researchers optimize experiments and achieve better results."

Identify more effective CRISPR enzymes

Assoc. Prof. Kaan Yılancıoğlu stated that "Artificial intelligence can be used in the discovery of new CRISPR systems, it can identify more effective CRISPR enzymes by scanning existing genetic databases," and Yılancıoğlu said that "By targeting more than one gene at the same time, it can develop combinatorial gene editing strategies and improve experimental design and optimization processes. While it assists CRISPR technology in developing personalized gene therapies, it provides highly efficient gene editing processes thanks to automated systems."

It can be used in the treatment of genetic diseases

Yılancıoğlu stated that "AI-powered CRISPR technology has great potential in the treatment of various diseases in the field of medicine. The integration of artificial intelligence with CRISPR technology makes gene editing processes more sensitive and effective," and explained which diseases can be used in the treatment of as follows:

"The application areas of this technology include the treatment of genetic diseases (sickle cell anemia, cystic fibrosis, Duchenne muscular dystrophy), cancer treatment (T-cell modification and oncolytic viruses), infectious diseases (viral infections such as HIV and hepatitis B), neurological diseases (Huntington's disease and ALS) and cardiovascular diseases (hypercholesterolemia and atherosclerosis). For example, CRISPR can be used to treat diseases such as beta-thalassemia, retinitis pigmentosa, and spinal muscular atrophy (SMA).

It can open up new avenues in the treatment of rare genetic diseases!

Underlining that artificial intelligence-supported CRISPR technology can provide advantages such as sensitivity and specificity, speed and efficiency, and personalized medicine, Yılancıoğlu expressed that "Artificial intelligence algorithms analyze large data sets, recommend the most effective gene editing strategies and develop personalized treatments. In the future, it could open up new avenues in the treatment of rare genetic diseases and prevent aging-related diseases through genetic editing, and the combination of CRISPR technology could revolutionize the treatment of a wide range of diseases in the medical field and enable the emergence of more precise, effective treatment methods."

It also accelerates genetic research processes...

Emphasizing that the combined use of artificial intelligence and CRISPR technology offers many innovations and advancement potentials that will deeply shape the future of genetic research, Yılancıoğlu said that "AI-supported CRISPR increases the sensitivity of gene editing processes, reduces problems such as mistargeting, and increases the effectiveness of CRISPR by designing the most appropriate guide RNAs. By analyzing large genomic data sets, AI plays an important role in identifying genetic variants associated with diseases and discovering new genetic targets. This allows for the development of new approaches in the treatment of genetic diseases. Moreover, artificial intelligence and CRISPR technologies develop personalized treatment strategies based on the genetic profiles of individuals, accelerate genetic research processes and increase efficiency."

It also helps with previously unimaginable discoveries in the science of genetics

Assoc. Prof. Kaan Yılancıoğlu stated that artificial intelligence can also be used to simulate and model the effects of genetic regulations, to evaluate the possible risks and ethical problems of genetic regulations, and concluded his remarks as follows:

"This ensures that genetic research is carried out more safely and in accordance with ethical standards. The combined use of AI and CRISPR could help to better understand the genetic underpinnings of complex diseases and to develop previously unimaginable discoveries and treatments in genetics. These technologies bring revolutionary innovations in the treatment of genetic diseases, while at the same time increasing the scope and depth of genetic research."

 

Üsküdar News Agency (ÜNA)