Kakao Healthcare has unveiled its newest AI-driven cellular diabetes administration app.
Referred to as PASTA (Personalised, Accessible, Supportive, Tech-enabled, and Reasonably priced), the app at the moment hyperlinks to 2 CGM gadgets: CareSens Air by native producer i-SENS and Dexcom’s G7. The app will even pair with the Mallya sensible cap for insulin pens by the second quarter.
As soon as the CGM machine is linked, the app mechanically shows particulars in regards to the person’s blood sugar in real-time through Bluetooth. It additionally permits customers to report their meals, train, insulin doses, and medicine. The app options imaginative and prescient AI that mechanically offers details about vitamin, energy, and meals forms of their meals.
One other characteristic is a useful abstract report of the person’s blood sugar studying with indicators declaring which of them are good and dangerous. These summaries are additionally made obtainable for sharing with the person’s household. It could additionally present a information to managing blood sugar ranges and creating wholesome way of life habits.
Now obtainable on each Android and iOS gadgets, the PASTA app was named as such, likening the numerous methods to handle diabetes to the number of pasta.
In the meantime, Kakao Healthcare developed Pasta Join Professional, a dashboard for docs the place they’ll examine their sufferers’ blood sugar developments and way of life adjustments in close to actual time. It’s deliberate to be linked with hospital EMRs to supply comfort of information input to workers and sufferers.
In a press release, Kakao Healthcare disclosed its plans to broaden its newest digital diabetes administration app and repair internationally, beginning in Japan this yr.
Seegene, a supplier of PCR-based (polymerase chain response) diagnostic options from South Korea, has onboarded Microsoft as a tech associate to its SG OneSystem, which collaborates with scientists and consultants globally to develop syndromic quantitative PCR diagnostic assessments.
A bunch of Microsoft providers might be included into Seegene’s Digitalised Growth System (SGDSS) which powers the SG OneSystem.
For one, it would combine Microsoft Azure providers, together with the Azure OpenAI Service, to help information interplay and evaluation for researchers coping with massive information. The AI-driven analytics platform Microsoft Material might be deployed to amalgamate Seegene’s information and introduce such capabilities as information integration, information engineering, information science, information monitoring, real-time analytics, and enterprise intelligence. Microsoft 365 Copilot will even combine AI-driven help to “speed up productiveness, foster innovation and improve creativity,” in line with a press launch.
Moreover, Seegene stated it would work with Microsoft on next-generation administration and analytics for PCR information and discover future ventures inside healthcare.
Singaporean medtech Aevice Well being and its London-based associate Jiva.ai might be collaborating to develop an AI that may predict bronchial asthma exacerbations.
Funded by Innovate UK and Enterprise Singapore, the collaborative undertaking goals to harness well being information collected by way of the AeviceMD wearable stethoscope to create an AI-driven early warning system for asthmatic sufferers.
Yonsei College Well being System has rolled out throughout its scientific practices an AI diagnostic resolution for assessing dangers of heart problems (CVD).
Developed by South Korean startup Mediwhale, Reti-CVD makes use of retina scans to detect CVD dangers.
Researchers from South Korea have developed an AI mannequin that may probably predict the probability of sepsis.
In a research, whose findings have been printed within the Mild: Science & Functions journal by Nature Portfolio, they ran 3D pictures of the CD8 T cells, a possible biomarker of sepsis, into their AI mannequin and have been in contrast towards pictures of wholesome cells in a managed group.
The AI was later discovered to foretell the probability of sepsis from analysing CD8 T cell pictures with as much as 99% accuracy.
The analysis crew was comprised of lecturers and docs from Yonsei College Faculty of Medication, Severance Hospital, and biotech firm Tomocube.