VYTALYX

Vytalyx is developing an end-to-end AI for healthcare, open-source and enterprise, that aims to combine the best qualities of humans and machines. Our goal is to provide innovative and intuitive AI solutions that understand clinical and wellness datasets, allowing health professionals to view and personalize relevant diagnoses, treatments, formulations and other results in context across multiple big data sources. We aim to provide health professionals with unfettered access to intelligence and data, which may help discover the most relevant relations between vast amounts of clinical and wellness entities. Our focus, making clinical and wellness decisions more informative and data-backed.

ADVANCING THE STANDARD OF CARE

Our planned AI aims to accelerate the development of a decentralized super-mind, helping the global healthcare community transcend into a more connected and intelligent modus operandi. Our AI is being designed as a peer-to-peer benefit-maximizing architecture where machine learning is federated.  This architecture may serve as a powerful collective human decision-making tool that has the potential to drive better decisions and improve health outcomes. Decentralization of our AI may be fully embraced by applying differentially private federated learning, a decentralized peer-to-peer machine learning model. Our planned AI is about helping health professionals maximize big data insights in order to discover the best clinical and wellness diagnoses and treatment options.

OUR AI

Unlike artificial intelligence, which may involve little to no human-machine intercommunication, augmented intelligence is information technology that may be codified to mimic human cognitive functions and may supplement and support human cognition, thinking and analysis, but leaves the human at the center of human-machine interaction.  Augmented intelligence is fundamentally about making smarter and more informed decisions that better simulate, understand and model human decision making, thought, processes and views.