Research & Development

Telemedicine AI Medicine Machine Learning Mixed Reality (MR) Augmented Reality (AR) Virtual Reality

Fintech

Fintech

We aim to help startups and financial companies facing difficulties in understanding and using FinTech. We help them adapt to the new technologies of P2P, cryptocurrency, and insurance. We provide them with strategies and ideas to dig deeper into the new world, and we offer them constant support in a constantly changing world.

Health

Health

In this area, we help hospitals and medical facilities use new medical tools such as VR/AR/Telemedicine. We help medical schools with the needed training and coping strategies to start using them for their students.
Telemedicine

Individual empowerment enjoins health and comfort. And the latter is never toxic when the health care professional can evaluate, diagnose and treat patients at a distance and without an in-person visit, using telecommunications technology and any smart device. Services like telemedicine increase the efficiency and effectiveness of individuals as a per and as a whole; when individuals take advantage of their time at work and do not have travel expenses, they benefit others. This rotation keeps exposure levels to potential patients low and, by that, improves office productivity.

AI Medicine

AI medicine has an extraordinary impact in diverse fields. Artificial Intelligence or machine-learning algorithms mimic the human body's performance and specks to formulate an analysis (in the diagnosis and operations) and comprehend medical issues. This step towards innovation brings efficiency to the healthcare system and makes it less expensive. AI medicine can cross the paperwork burden when doctors consider new careers to invest in, for instance, the world's poorest places.

Machine Learning

Machine learning is a branch of artificial intelligence (AI) that focuses on using data and algorithms to imitate how humans learn, gradually improving its accuracy. According to UC Berkeley, a machine learning system algorithm has three main parts: a decision process, an error function, and a model optimization process. These three functions are derived from the neutral human experience on the ground, as they fail, try to find a solution, and make decisions on what matters. Machine learning has three categories: supervised ML, unsupervised ML, and semi-supervised learning.

Mixed Reality (MR)

The corner that holds two walls acts as a joint, but if these two walls fade through each other, the junction becomes everywhere and beneficial to both sides. This effect is called MR in healthcare, where medical schools use it to introduce students and engage them in patients' anatomy. Several companies are concerned with MR-assisted surgery and developing applications and medical devices to enable clinicians to view and interact with patient data, even in the operating room. Also, MR can map out a surgical plan based on the actual patient and guide the surgeon precisely during surgery.

Augmented Reality (AR)

Individual empowerment enjoins health and comfort. And the latter is never toxic when the health care professional can evaluate, diagnose and treat patients at a distance and without an in-person visit, using telecommunications technology and any smart device. Services like telemedicine increase the efficiency and effectiveness of individuals as a per and as a whole; when individuals take advantage of their time at work and do not have travel expenses, they benefit others. This rotation keeps exposure levels to potential patients low and, by that, improves office productivity.

Virtual Reality

VR provides a 3D dynamic view of structures and the ability of the user to interact with them. With VR training, medical students have the opportunity to immerse themselves in a surgical experience long before they are in a medical residency. They can observe surgeries from a first-person perspective. Virtual Reality takes the student on a journey inside the human body – to access & view areas that otherwise would be impossible to reach. Currently, medical students learn on cadavers. It also supports patient treatment, medical marketing, and disease awareness.

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