![Sana Kandasamy's cover illustration](https://dpl6hyzg28thp.cloudfront.net/media/1678947523351_od76f6c.png)
![Sana Kandasamy's profile](https://dpl6hyzg28thp.cloudfront.net/media/b6ccc545-4049-4917-a4e9-09f8c145c265.jpg)
Sana Kandasamy
Class of 2029Hopkinton, MA
About
Hello! My name is Sana Kandasamy, and my Polygence project is focused on AI in personalized medicine. When I first saw how AI is dominating many careers, I was fascinated. All the latest news about AI really encouraged me to conduct my own research. After wrapping up my project, I would like to continue writing and pursue my writing passion.Projects
- "AI's Role in Personalized Medicine" with mentor Kelli (Dec. 1, 2024)
Project Portfolio
AI's Role in Personalized Medicine
Started July 5, 2024
![Portfolio item's cover image](/_next/image?url=https%3A%2F%2Fdpl6hyzg28thp.cloudfront.net%2Fmedia%2Fprecision_medicine_body_hSpVI3u.jpg&w=3840&q=75)
Abstract or project description
Personalized medicine, the adaptation of medical treatment to a patient's unique genetic makeup, requires a complex series of procedures. These processes encompass genetic profiling, biomarker discovery, genomic analysis, patient-centered drug development, precise gene editing, treatment response monitoring, and therapeutic regimen modification. Because they are time-intensive, they face significant hurdles, leaving room for human-introduced error. The findings suggest that artificial intelligence has progressed in recent years and now dominates numerous steps while saving time and money. From documenting a patient's genetic information to influencing crucial treatment decisions, AI in healthcare is paving the way for a promising future for patients. Streamlining AI provides ongoing support and enhancement to conventional methodologies despite its limitations. This review highlights the potential of artificial intelligence in personalized medicine, demonstrating its significant impact on improving patient outcomes and addressing the limitations that must be considered.