Kakao Healthcare has unveiled its newest AI-driven cell diabetes administration app.
Referred to as PASTA (Personalised, Accessible, Supportive, Tech-enabled, and Inexpensive), the app at present hyperlinks to 2 CGM gadgets: CareSens Air by native producer i-SENS and Dexcom’s G7. The app can even pair with the Mallya smart cap for insulin pens by the second quarter.
As soon as the CGM machine is linked, the app routinely shows particulars concerning the person’s blood sugar in real-time by way of Bluetooth. It additionally permits customers to document their meals, train, insulin doses, and drugs. The app options imaginative and prescient AI that routinely offers details about vitamin, energy, and meals varieties of their meals.
One other characteristic is a helpful 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 actually additionally present a information to managing blood sugar ranges and creating wholesome life-style habits.
Now obtainable on each Android and iOS gadgets, the PASTA app was named as such, likening the various methods to handle diabetes to the number of pasta.
In the meantime, Kakao Healthcare developed Pasta Join Professional, a dashboard for medical doctors the place they will verify their sufferers’ blood sugar tendencies and life-style modifications in close to actual time. It’s deliberate to be linked with hospital EMRs to offer comfort of information input to workers and sufferers.
In an announcement, Kakao Healthcare disclosed its plans to increase 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 specialists globally to develop syndromic quantitative PCR diagnostic assessments.
A bunch of Microsoft providers might be included into Seegene’s Digitalised Improvement System (SGDSS) which powers the SG OneSystem.
For one, it should combine Microsoft Azure providers, together with the Azure OpenAI Service, to help information interplay and evaluation for researchers coping with huge information. The AI-driven analytics platform Microsoft Cloth 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 can even combine AI-driven help to “speed up productiveness, foster innovation and improve creativity,” in response to a press launch.
Moreover, Seegene stated it should 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 challenge goals to harness well being information collected by means 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 answer 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 doubtlessly predict the probability of sepsis.
In a research, whose findings had been printed within the Gentle: Science & Purposes journal by Nature Portfolio, they ran 3D photos of the CD8 T cells, a possible biomarker of sepsis, into their AI mannequin and had been in contrast in opposition to photos of wholesome cells in a managed group.
The AI was later discovered to foretell the probability of sepsis from analysing CD8 T cell photos with as much as 99% accuracy.
The analysis group was comprised of teachers and medical doctors from Yonsei College School of Medication, Severance Hospital, and biotech firm Tomocube.
