In the twenty-first century, the intersection between Sanitary engineering And hospitable And the Medicine Opens new horizons with the concept of “Digital Health MappingThis is what was proven by a study published in IEEE Explorewho envisions a future in which every human being has digital avatar Which allows you to predict your health in an accurate and “non-invasive” way. According to this report, entitled “Grand Challenges at the Interface between Engineering and Medicine,” the avatar is “not just a personal image.” Digital Twin“, but it could be a “physical manifestation of human tissue or organs” that can be explored outside the body.
This new “model” in Hospital Engineering Start with “Complete digital health mapping and disease in humans, which is a promising progress. Revolution in precision medicineThe detailed and comprehensive mapping aims to create asymbol picture“From human physiology.” This concept includes the design and construction of Precise engineering models Human Physiology ModelsIn silico“Until actual implementation,” the study explains.
The study explains that one of the “most interesting” concepts in this design is “the idea of real-time detection and adaptation to all Human Physiology Inputs“, although at the same time it raises “problems of dynamic control and optimization.” As detailed, the components of the avatar can be treated as “Independent” tissues and organs.designed to work “in synergy with other ingredients.” Furthermore, these ingredients can also be used as “smart phones “Implantable devices” that augment or replace their human counterparts.
Challenges of Digital Health Mapping
On the one hand Precision medicinecreate the Human Linguistics Embodiments It presents five challenges. The first is to develop accurate models that integrate multimodal measurements and physiological functions. According to the study, this “new High performance tests that investigate the biological function of an individual at the molecular, cellular and organismal levels; and validated modelling methods that take advantage of this data. Spatial and temporal scalesalong with high-throughput genomic, transcriptomic, epigenetic, metabolomic and proteomic data.
The second challenge is to develop a “set of diagnostic and therapeutic options derived from the model to choose the best option to address the problem.” ComorbiditiesConcomitant medications, the potential risks “And costs.” “To achieve this, we need real-time automated monitoring technologies, real-time data acquisition and processing, and real-time analysis and modeling,” he explains.
Third, there is development. Sensors And from “Digital Human With dynamic feedback. The report indicates that Accurate diagnoses It requires “an unambiguous assessment of the physiological state and how that state has changed over time.” This is presented as an introduction to Annual checkupsWhich, according to the study, “does not have the temporal resolution or physiological acuity to predict the likelihood of developing many diseases, such as stroke, heart attack, or diabetes.”
The next, and perhaps most surprising, challenge is the use of digital simulation and digital simulation. artificial intelligence To develop Complex physiological models Which allows doctors to measure, analyze and treat diseases in “digital twins”, to be later implemented in “real twins”.
Finally, the study indicates that Tissue and organ engineeringas the fifth challenge. This is summarized in the application of “Mathematical models Validate it with experimental data to obtain mechanistic information about complex biological systems“Thus improving manufacturing protocols for regenerative medicine products and treatment strategies.
Although it may contain data, information or observations from health institutions or professionals, the information contained in medical writing is edited and prepared by journalists. We recommend that the reader consult any health-related questions with a health care professional.
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