Sensor that monitors power
Scientists from the Tufts Research University (USA) invented
The device includes three layers: The central layer of the sensor reacts to salt, glucose, alcohol and other substances, and the two adjacent ones serve as antennas. Data is transmitted to external devices, for example, to the sensor carrier’s smartphone, nutritionist, attending physician, or relatives caring for an elderly person. Scientists continue to work and promise that the sensor will soon be able to recognize a large number of food ingredients and substances, and even understand how a person feels.
Photo: SilkLab, Tufts University
Application that allows Alzheimer's patients to recognize their relatives
Timeless app came up with a 14 year oldprogrammer Emma Young from New York - it all started with feelings about a grandmother who did not recognize her relatives. The girl is helped by the company Kairos, which produces computer programs for facial recognition. The application will constantly remind about the social circle - there is a ribbon with photos and names of family members and friends. If an elderly person is unable to recognize someone, then he can take a picture of this person, and the application will recognize his face and find it in the database.
The program is easy to use and cancontrolled by third-party devices or relatives or carers. It has a system of reminders of affairs and meetings, a section “I” with information about the owner of the phone, a convenient list of contacts with photos and other useful things. The application is still being developed, and Emma is currently raising money for it on the Indiegogo website, where anyone can help the girl.
Smart eye contact lenses
Belgian digital technology center imec has createdintellectual contact lenses for the treatment of eye diseases. They are equipped with built-in microchip, LED and antenna, and also know how to diagnose and inject drugs into the eye.
Smart contact lenses. Photo: IMEC
Analogs of similar lenses are being developed by others.companies, but these are characterized by a soft and flexible hydrogel-based lens and are well oxygen-permeable. The lens can transmit information about diseases through NFC-communication - technology, through which they pay with a smartphone. Prototypes are intended for vision correction in presbyopia (age-related hyperopia - difficulties in focusing eyesight at close range - “High-tech”) and several other disorders, but the invention has great promise.
Voice Assistant for Doctors
Intellectual voice assistant Sukireduces the time that the doctor spends filling out the hospital card, and frees it for more important cases - treating patients. According to studies, doctors spend an average of two times more time filling out electronic cards than communicating with patients.
Assistant trained to understand human speechand medical terms, and it is enough for the doctor to tell about the symptoms of the disease and the diagnosis of the patient, so that Suki himself filled out his card. In this case, the doctor can use a cell phone while on the road or at lunch. The health workers, who were the first to use the software application, say that they began to spend 70% less time "on writing."
Artificial Intelligence in Oncology Diagnostics
Oncological diseases are one of the areas of medicine where wrong diagnoses are most often made. As for, for example, skin tumors, half of the medical opinions on them are erroneous.
It turned out that AI is more effective in stagingdiagnoses than people. Based on the deep learning algorithm, Google specialists have developed the Lymph Node Assistant, or LYNA software. It can find breast cancer metastases on slides with greater accuracy than the doctor. Tests have shown that LYNA detects them in 99% of cases, including almost imperceptible metastases in the lymph nodes that a person can easily miss.
The same impressive results were obtained.with similar studies in the field of skin cancer, when the AI-based system diagnosed photographs better than a group of experienced doctors - 95% against 90. It turns out that access to accurate diagnosis of diseases using artificial intelligence can be obtained even with a smartphone, regardless of where in the world you live. And this is great news for both telemedicine and the world at large.
The development of computing power andAI algorithms and neural networks have already made a breakthrough in medicine, but sensors, machine learning, facial recognition and medical assistants will become trends that will bring telemedicine to a new level, providing quality medical care even at a distance and without the direct personal presence of a doctor.