• Merin Meleet
• G.N. Srinivasan
• Nagaraj G.Cholli

Modern machine learning tools and techniques are playing a pivotal role in the advancements in the area of Personalized medicine because of its ability in dealing with a huge amount of unstructured data that is complex and heterogeneous in nature. Personalized medicine refers to providing customised or tailored medication or treatment to individuals by identifying and considering the features like their genomic structure, lifestyle, symptoms, vital statistics, etc. A lot of research are going on in this area in the past few years. This paper intends to provide an overview of the research works happening in this area as applications of deep learning techniques. The main focus has been on major applications like the development of new drugs, prediction of therapeutic drugs, and identification of disease characteristics. The more popular deep learning techniques that are commonly applied in this domain for specific tasks are also analysed. Successful research works and the research challenges that this area is facing is also discussed which will provide clarity for future research directions.

Personalised Medicine, Deep learning, Drug discovery and development, Adverse drug reaction, Recurrent Neural Network, Electronic Health records, Long-Short Term Memory

"Deep Learning Techniques in Personalization of Medicines and Treatments ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.d759-d763, August-2022, Available :http://www.jetir.org/papers/JETIR2208382.pdf

"Deep Learning Techniques in Personalization of Medicines and Treatments ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. ppd759-d763, August-2022, Available at : http://www.jetir.org/papers/JETIR2208382.pdf