ItemConference Paper

Personalized Medicine Recommendation Through Genomics AI

Title
Personalized Medicine Recommendation Through Genomics AI
Creator
Chaudhuri, Upasana; Chanda, Rishav; Sharma, Vandana; Mishra, Sushruta; Alkhyyat, Ahmed; Mishra, Nilamadhab
Description
Every individual is genetically different. This highlights the importance of exploring the possibility of personalized medicine tailored for each persons unique genetic profile. Due to this genetic variability, people have varied responses to the same medication. Thus, it is all the more necessary to withdraw from traditional medication and adopt personalized medicine. Using genomic data analysis techniques, healthcare specialists will be able to distinguish the minute genetic differences to produce unique therapies for each patient. This paper traverses the development of an algorithm to integrate the patients genomic data with his medical history. Personalized treatment can be recommended based on the inferences using genomic AI. These insights derived from the algorithm can be scrutinized by decision support systems. This step ensures the reliability of the prescribed personalized treatment and confidence of patients on the medication. Each time the model predicts medication compositions and dosages using genomic data, it becomes more accurate improving therapeutic results. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.
Source
Lecture Notes in Networks and Systems;Volume;1386 LNNS;pp.39-53
Date
01-01-2026
Publisher
Springer Science and Business Media Deutschland GmbH
Subject
Data analysis; Genomic AI; Genomic data analysis; Machine learning; Personalized medicine
Coverage
Chaudhuri U., Kalinga Institute of Industrial Technology, Bhubaneswar, India; Chanda R., Kalinga Institute of Industrial Technology, Bhubaneswar, India; Sharma V., Computer Science Department, CHRIST University, Bengaluru, India; Mishra S., Kalinga Institute of Industrial Technology, Bhubaneswar, India; Alkhyyat A., College of Technical Engineering, The Islamic University, Najaf, Iraq; Mishra N., VIT Bhopal University, Madhya Pradesh, Sehore, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISSN: 23673370; ISBN: 978-981966052-0;
Format
online
Language
English
Type
Conference paper

Citation

Chaudhuri, Upasana; Chanda, Rishav; Sharma, Vandana; Mishra, Sushruta; Alkhyyat, Ahmed; Mishra, Nilamadhab, “Personalized Medicine Recommendation Through Genomics AI,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 20, 2026, https://archives.christuniversity.in/items/show/25577.

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