Sensor that monitors power
Scientists from Tufts University (USA) have 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
The Timeless app was invented by 14-year-old programmer Emma Young from New York — it all began with worries about her grandmother, who did not recognize her relatives.The girl is helped by the company Kairos, which produces computer programs for facial recognition.The app will constantly remind you of your social circle — it will have a feed with photos and names of family members and friends.If an elderly person is not able to recognize someone, then he cantake a picture of this person, and the app will recognize their face and findin the database.
The program is easy to use and can be controlled from third-party devices by relatives or a caregiver.It has a system of reminders for business and appointments, an "I" section with information about the owner of the phone, a convenient contact list with photos, and other useful things.The app is still under development, and Emma is currently putting togethermoney for it on the Indiegogo site, where the girl can helpAnyone.
Smart eye contact lenses
The Belgian center for digital technologies imec has created smart contact lenses for the treatment of eye diseases.They are equipped with a built-in microchip, LED and antenna, and can alsoMake a diagnosis and inject medication into the eye.
Smart contact lenses. Photo: IMEC
Analogues of similar lenses are being developed by other companies, but these are distinguished by a soft and flexible lens based on a hydrogel and are well transmitted.Oxygen.The lens can transmit information about diseases via NFC communication, a technology that is used to pay with a smartphone.The prototypes are designed for vision correction in presbyopia (age-related hyperopia – difficulty in focusing vision at a close distance – Hi-Tech) and several other disorders, but the invention has great prospects.
Voice Assistant for Doctors
Suki's intelligent voice assistant reduces the time it takes for a doctor to fill out a hospital record and frees upAccording to research, doctors spendOn average, it takes twice as much time to fill out electronic cards as to communicate 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 it is most often diagnosedAs for skin neoplasms, for example, half of the medical conclusions on them are erroneous.
It turned out that AI is more effective at making diagnoses than humans.Based on a deep learning algorithm, Google developed the Lymph Node Assistant software, or LYNA.It can find breast cancer metastases from slides with greater accuracy than a doctor.Tests have shown that LYNA detects them in 99% of cases, including almost imperceptible lymph node metastases, which can easily be detectedSkip man.
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.