Innovations in medtech have largely been focused on keeping infections at bay for the past several months, and apps as well as gadgets have been used to ensure contactless service. Telemedicine has successfully used video conferencing and healthcare data to facilitate remote consultancy, at a time when cutting down hospital visits has become a norm.

Diabetes is among ailments which make it difficult for people to move on with normal life, and constant monitoring of the condition is known to be an effective method for containing it. In a bid to smartly tackle the disease which affects over 600,000 children globally, an Israeli firm is developing AI which tracks blood glucose levels to recommend the right dose of medication.

Fluctuating blood sugar levels make it crucial for diabetics to constantly modify the amount of insulin they inject to balance things out. Machine learning collects data on changing presence of glucose in the blood, and processes it within five minutes to empower diabetics with the ability to zero in on a suitable dosage.

The company DreaMed is currently conducting tests for the tech with 100 children at a hospital in the US, and the trials will be carried out for six months. The quick recommendations will also ensure assistance for the patients within five minutes instead of 30 minutes.

Other than marking a tech-savvy transformation in care for diabetics, the smart system will also boost contactless guidance, which is an important asset in the post-pandemic new normal. The firm will be using a massive reservoir of data from devices being used by Yale hospital’s patients to stay up to speed with their sugar levels.

The rising demand for socially distanced services in healthcare has recently led to deployment of AI for monitoring blood vessels among dialysis patients, and also supported creation of devices to track foetal health.

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This content was originally published here.