The book explores the cutting-edge intersection of artificial intelligence, computational physics, digital twin technology, and regenerative biology in managing and treating aortic aneurysms. It outlines a paradigm shift from traditional, reactive surgical methods to highly personalized, predictive, and biologically integrated approaches.



Autorentext

Sakshi Kesharwani is a Pharm. D student at Shambhunath Institute of Pharmacy, currently pursuing her doctoral degree in pharmacy. She has a strong academic interest in research and development, with a particular focus on cardiology and innovative healthcare solutions. She has actively participated in hospital training programs, gaining practical exposure to clinical pharmacy practices. Sakshi has been recognized for her academic excellence through multiple awards in poster presentations, model presentations, quizzes, spotting, and debates, along with certifications in these areas.

Her article explores the integration of artificial intelligence in healthcare, specifically in stem cell research and aneurysm prediction, reflecting her growing interest in advanced medical technologies. She aspires to build a career in healthcare research and development, contributing to improved patient outcomes through innovation.

Beyond academics, she enjoys traveling and has a deep appreciation for nature. Her goal is to excel in her field and make meaningful contributions to the healthcare sector.

Titel
AI Aortas: Predictive Modelling of Aneurysms in the Digital Era
EAN
9798235746893
Format
E-Book (epub)
Digitaler Kopierschutz
Adobe-DRM
Dateigrösse
4.89 MB