Machine Learning and Personalized Medicine

Machine learning is an emerging field of computer science that utilizes artificial intelligence to learn from data and make predictions. It has revolutionized healthcare, making personalized medicine possible. Personalized medicine enables doctors to customize treatment plans for individual patients based on their unique genetic and environmental characteristics. Through machine learning, doctors can rapidly analyze large amounts of data to identify patterns in patient health, recognize potential treatments, and design preventive care strategies tailored to each patient’s unique needs. This type of personalized medicine has provided new ways for healthcare providers to improve patient outcomes, as well as allowing for the detection of conditions earlier and with more accuracy. Machine learning is also being used in a variety of other fields, such as finance, marketing, and logistics. As a result, it is providing greater efficiency and accuracy in numerous industries.

← International Journal of Personalized Medicine

Related Articles

24 article(s) found
Emerging Paradigms in Regenerative Medicine: Stem cell Therapies
Full-text HTML Download PDF Download XML
Analyzing Students’ Opinions about their Learning Environments and Study Approaches with Bayesian Modeling
Full-text HTML Download PDF Download XML
Effect of a Waterproof Device in the Noninvasive Ventilation Circuit on patient-machine Synchronization
Full-text HTML Download PDF Download XML
Appropriate Conservation Machinery for Mungbean Cultivation in the Southern Region of Bangladesh
Full-text HTML Download PDF Download XML
Journal of Sports and Exercise Medicine
Full-text HTML Download PDF Download XML
Looking for the Best Journey: Real Methodology of Research in General Medicine
Full-text HTML Download PDF Download XML
Basic Sciences. Basis of Clinical Medicine.
Full-text HTML Download PDF Download XML
Human Anatomy: An Inlet of Medicine and Surgery 
Full-text HTML Download PDF Download XML
Hypertension Today: Role of Sports and Exercise Medicine
Full-text HTML Download PDF Download XML
Measuring Availability and Prices of Locally Produced and Imported Medicines in Sudan
Full-text HTML Download PDF Download XML
pH-Sensitive Nanomedicine for Treating Gynaecological Cancers
Full-text HTML Download PDF Download XML
Practical Methods to Improve Client Compliance in General Medicine
Full-text HTML Download PDF Download XML
Study of The ID3 and C4.5 Learning Algorithms
Full-text HTML Download PDF Download XML
Heart Failure in Family Medicine
Full-text HTML Download PDF Download XML
Statistical Analysis on the Influence of Flipped Classroom Teaching on Students’ Learning Effect During the Coronavirus Disease 2019 Epidemic
Full-text HTML Download PDF Download XML
Critical Review of Teaching and Learning Methodologies for Learners with Special Educational Needs in the 21st Century and Beyond
Full-text HTML Download PDF Download XML
Tay-Sachs Disease: From Molecular Characterization to Ethical Quandaries and the Possibility of Genetic Medicine
Full-text HTML Download PDF Download XML
Biotechnological application of Cyanobacteria in, Agriculture, Medicine and Environment
Full-text HTML Download PDF Download XML
Success Driven: Student Motivation Actions in Teaching and Learning
Full-text HTML Download PDF Download XML
Comparative Study of Deep Learning Techniques for Detecting Corn Plant Leaf Diseases Using Transfer Learning
Full-text HTML Download PDF Download XML
Learning and Memory in an Animal Model of Longevity: The Ames Dwarf Mice
Full-text HTML Download PDF Download XML
Exploring the Nanomedicinal Features of Ayurvedic Bhasmas: Insights from Traditional Medicine
Full-text HTML Download PDF Download XML
Proteomic and Genomic Techniques in Medical Research: Applications in Cancer, Diagnostics, and Personalized Medicine
Full-text HTML Download PDF Download XML
The Journey from Personalized Medication to Customized Nutrition
Full-text HTML Download PDF Download XML