what is DREOS Health?

DREOS Health is the most complex DREOS AI module of our technology. DREOS Health has an invaluable value because it deals with the study, research and safeguarding of the most precious value that we all possess: life.

#

Technology-medicine link becomes more and more important every day.
Artificial intelligence is a powerful tool in the service of modern medicine. The applications, in fact, are multiplying in all areas, from diagnostics to surgery, from the development of drugs to rehabilitation and are destined to grow (think of artificial intelligence applied to physiotherapy, monitoring of the patient and his symptoms or even reducing the amount of health bureaucracy).
Starting from the goal of saving human lives, our technology can be used by any medical device (magnetic resonance equipment, ultrasound equipment, etc.): each medical device is associated with our module thus allowing our technology to study patient data in real time.
This study associated with the study of the input data provided by the user (clinical data, additional information from the doctor, previous tests, etc.) and with the study of public data present on the web (pathology, symptoms, etc.) allow DREOS Health to carry out a study deep and help doctors and researchers in an innovative way.
DREOS Health has no limits: its ease of use and the non-expensive request for hardware resources allow the technology to be used in any field: medical research, drug development, precision surgery, psychotherapy and much more.

The working methodology of DREOS Health is articulated on various levels that we will describe on this page.

At this link you can follow the updates on the results achieved by DREOS Health and the projects we have worked on or are currently working on (page under construction).



how dreos health works

After training him in the best methodology (explained in detail in the training section of the site), DREOS Health will have full knowledge of human in all its parts (organs, cells, tissues, genes, proteins, etc.).
Using all its algorithms and setting the approaches suitable for a medical practice, for each input received our technology take 3 different types of operations:




predictive diagnostics, medical treatment, drug development

Through the use and interpretation of the data, behaviors or information acquired, it is possible to grasp the first signs of a disease and help doctors to make more accurate diagnoses, with the goal of reducing diagnosis times, reducing errors, develop methods for individualized medical treatment (it's in fact possible to develop personalized predictive models, with the possibility also of personalizing treatments rather than using a single approach) or evaluating the use of an existing drug but never taken into consideration or proposed the development of a completely new drug (training/learning with a chemical approach). Our technology can also support the decision-making process of radiologists, improving their diagnostic activity.





evolutionary prediction and predictive reconstruction

Using a complex and innovative prediction algorithm it's possible to make two types of prediction:
EVOLUTIONARY PREDICTION: DREOS Health starting from a medical image of a sick patient (brain, heart, liver, etc.) is able to create an image with high accuracy of the same brain in a pre-established future time. (prediction accuracy can reach 96% up to 2 years).
PREDICTIVE RECONSTRUCTION: DREOS Health is able to reconstruct a current medical image in a past time even without the need for patient data. This can be useful for learning about the risk factors of a disease or when it developed.





assumption

Using continuous training, during its life cycle, DREOS Health will be able to:
- associate the information associated with a pathology (symptoms, risk factors, affected areas) with other similar pathologies and study them without being asked specifically;
- detect and communicate to the doctor any side effects of a given treatment or a given medicine or, conversely, its efficiency towards other pathologies;
- label any areas most affected by certain diseases and classify them on the basis of a certain variable (for example risk factors or symptoms);
- much more.






ambitions for the future: DREOS Health & Internet of Body

In addition to the potential of DREOS Health in predictive diagnostics, in medical research (both regarding medical treatments and regarding the development of drugs) or in the creation (or reconstruction) of medical images with high accuracy also in the absence of data , our system could play an important role in what is referred to as: IoB.
After the Internet of Things (IoT), which has already transformed the way we live, work and travel by connecting objects to the Internet on a daily basis, the time seems to have come when even our human bodies are connected to technology within the Internet of Bodies (IoB).

Technological evolution shifts attention from things (IoT) to bodies (IoB) thus outlining "a network of human bodies whose integrity and functionality depend at least in part on the Internet and related technologies, such as, for example, Intelligence Artificial (AI)”.
With IoB we refer to a whole composed of ecosystem, devices, software and processed data. In general, an IoB device:

- contains software or processing capabilities;
- can communicate over an Internet connection;
- collects health or biometric data from the person;
- can alter the function of the human body.

IoB devices respond to logics of planned obsolescence and technological innovation and it is therefore already possible to distinguish three generations:
first generation, consisting of devices external to the body (body external) such as, for example, all wearables to measure fitness activities (watches, bracelets, etc);
second generation, consisting of internal body devices such as, for example, pacemakers connected via Wi-Fi such as the famous one by Dick Cheney (who, not surprisingly, had this feature disabled);
third generation, consisting of devices "fused" into the body (body melted) such as, for example, neural interfaces. These are devices that operate in bidirectional mode (reading and writing) with the specific function of extending and externalizing portions of the human mind.

IoB devices highlight the same security issues as IoT ones, but the substantial difference is that most IoB devices can create physical and direct damage to the human body that hosts them.
the risks associated with the IoB can be divided into at least three clusters:
risks relating to personal security, relating to Cybersecurity and relating to the processing of data and privacy protection.

Our goal is to use the DREOS Cybersecurity module (in association with the quantum and energy modules to speed up calculations, make protection more efficient and at the same time not lose sight of the environmental impact of this technology) to create a policy security that is able to protect any data associated with the person and protect the person himself (any cyber attacks on devices for example) and use the DREOS Health module to use the IoB to improve people's lives by eliminating the possibility that the IoB can be used for malicious purposes.

Wouldn't it be a better world where the IoB, used in an extremely correct way and following strict safety protocols, gives hope of life to all those people who are unable to live due to a disease?



the potential of DREOS Health

What distinguishes DREOS Health from any other artificial intelligence and which, in our opinion, makes this technology really important is its autonomous learning of what is really important to us.
The instructions given as input by the user are only a small part of the enormous work and help that our technology can offer in the medical field.
Starting from the initial study, DREOS Health evaluates all information in order to help doctors or researchers as much as possible. Many could be the results generated by the DREOS Health module.
We could explain it better with an example:
Let's assume that we provide DREOS Health with information (clinical records, tests performed, medical images, doctor's information) of an Alzheimer's patient as input. After studying every single piece of information, DREOS Health is asked to study the patient information received during an MRI scan in real time. Our technology, in addition to performing its main task (studying the patient to learn what the right medical treatment could be for him) will have such a large amount of information on the human brain that it will be able to:

1) identify any similar pathologies or those that may have the same risk factors;
2) identify any pathologies with the same characteristics;
3) identify possible methodologies to prevent this pathology from developing using predictive methods;
4) study existing medical and/or pharmacological treatments and evaluate their efficacy at each stage of the pathology;
5) devise or hypothesize solutions for the pathology;
6) generate solutions or propose treatments for similar pathologies (DREOS Health learns that a drug or medical treatment used for Alzheimer's can be used for another pathology).

These are just some of the many actions that our technology can carry out autonomously without requiring the user's command. Any information of vital importance or of fundamental help to doctors will be promptly created and communicated.
For these reasons we truly believe that our technology is really important in the medical sector and that it can be a great help in improving the quality of life of each of us.



Which DREOS AI algorithms or cognitive processes are used by DREOS Health?

DREOS Health is a DREOS AI technology module: this means that it uses all the algorithms, neural network maps, cognitive processes (which you can see in detail by clicking here), training and learning methods (which you can see in detail by clicking here) of the main technology but with a specific focus on our health, on the study of pathologies and on how to defeat them.
Compared to the other modules, DREOS Health uses each of its algorithms (cognitive processes and approaches) at the same priority (high).
Assigning the same priority to each algorithm is necessary since the study of a pathology, in addition to requiring a scientific approach (biological, chemical, physical, medical) also requires both an emotional approach (knowing how to distinguish the seriousness of a particular study from the other allows DREOS Health to give higher priority to one study over another) and mathematical/statistical (the need to calculate in a very short time the probability of effectiveness of one treatment compared to another).