Digital Body Total (originally Cyber Bio Twin) is an Artificial Intelligence based digital working replica, or a Digital Twin of human biological systems or organs or molecular systems, that can be used to aid in the diagnosis of existing medical conditions and predict possible health complications based on one’s profile, collective data and medical history. Digital Body Total will provide early warning systems based on reactions happening to other patients across the globe ...
Digital Body Total Is a digital working replica, or a Digital Twin of the human biological system, organs or molecular systems, that can be used to aid in the diagnosis of existing medical conditions and predict possible health complications based on one’s profile, collective data and medical history. Digital Body Total will provide early warning systems based on reactions happening to other patients across the globe. Digital Body Total uses the collection of existing data of different subjects to create computational and mathematical models, that replicate the physiology of human biological systems. These models, created with the aid of AI, can be used to holistically and dynamically analyze environmental and biochemical factors that might influence the pathogenesis and etiology of the complication. The model attempts to accurately predict outcomes of specific scenarios, set/faced by healthcare professionals, through the usage of various machine learning algorithms, and the creation of decision-making trees based on existing data. This makes Digital Body Total a valuable tool that can aid in the analysis and management of clinical trials, disease management, outbreak prevention/management, infraction management and lifestyle management, while ensuring the privacy and security of an individual’s personal medical data.
Digital Body Total can be researched upon and altered in various ways to examine and predict the effect that these changes might have on the original organ. Digital Body Total can be experimented upon by having foreign chemicals or molecules introduced. The composition of these foreign substances and the Digital Body Total’s compositions along with the subject’s medical profile will aid in accurately predicting the result of such an experimentation. Digital Body Total can also be modelled to accommodate for environmental factors such as air composition and medical or biochemical factors such as the composition and dosage of regular medication ingested by the patient or subject and the composition of the regular nutrient intake of the patient or subject. Through machine analysis, the AI will be able to analyze large groups of Digital Twins and create a decision-making tree. This decision-making tree will consist of decisions which have been statistically deemed accurate based on data gathered on all similar Digital Twins. The data gathered from the patients or subjects remain sterile, since all the data is analyzed by the AI and are not exposed to humans to directly view or modify. The data gathered by collecting inputs from patients/subjects will enable Digital Body Total to allow the AI to make predictions based on similar data from other Digital Twins. These predictions will allow for time travel. It can digitally replicate a new born baby or a full grown human and go through the entire cycle of vaccinations and understand and record symptoms which parents or other untrained people can’t sometimes detect and immediately attract medical attention. In addition to allowing free time travel, Digital Body Total grows parallel to the human or organ it is based on.
Currently Digital Body Totals are dealing with hospitals with patients afflicted with critical conditions requiring extensive medical data such as different types of cancer, liver sclerosis, Creutzfeldt-Jakob disease, Acute Myocardial Infarction, Alzheimer's Disease, Lesch-Nyhan syndrome, Alternating Hemiplegia of Childhood and more.
With the help of molecular medicine, disease analysis, cell biology analysis aided by computational intelligence and knowledge base, Digital Body Total will be used as a tool in countless medical processes such as personal health management, healthcare observation, symptomatic diagnosis, clinical trials, disease management, outbreak prevention infection management, drug early warning system and symptom-based AI deduction.
Since October 2018, Digital Body Total received the US FDA approval!