pediatric cancer
How AI is Changing the World with Smarter Decision Making
Harnessing the incredible potential of artificial intelligence (AI) for its invaluable impact on the human race is an incredibly powerful guiding vision. AI is part of everyday life, guiding us today. In this article, I am going to discuss how AI is fundamentally shaping smarter decisions that impact our world. By embracing AI as a national imperative and making AI solutions relevant and accessible to all, we can charge forward and change the way businesses all over the world make their most important decisions. Companies that harnessed the potential of AI were in a position during the pandemic to weather the storm and continue to thrive despite the pandemic's massive impact on consumer behavior.
Digital Twin Technology: The Future of Predicting Neurological Complications of Pediatric Cancers and Their Treatment
Healthcare technologies have seen a surge in utilization during the COVID 19 pandemic. Remote patient care, virtual follow-up and other forms of futurism will likely see further adaptation both as a preparational strategy for future pandemics and due to the inevitable evolution of artificial intelligence. This manuscript theorizes the healthcare applications of digital twin technology. Digital twin is a triune concept that involves a physical model, a virtual counterpart, and the interplay between the two constructs. This interface between computer science and medicine is a new frontier with broad potential applications. We propose that digital twin technology can exhaustively and methodologically analyze the associations between a physical cancer patient and a corresponding digital counterpart with the goal of isolating predictors of neurological sequalae of disease. This proposition stems from the premise that data science can complement clinical acumen to scientifically inform the diagnostics, treatment planning and prognostication of cancer care. Specifically, digital twin could predict neurological complications through its utilization in precision medicine, modelling cancer care and treatment, predictive analytics and machine learning, and in consolidating various spectra of clinician opinions.
- Health & Medicine > Therapeutic Area > Neurology (1.00)
- Health & Medicine > Therapeutic Area > Oncology > Childhood Cancer (0.40)
- Information Technology > Data Science (0.90)
- Information Technology > Artificial Intelligence (0.64)