Women’s health startup Inne has collected $ 10M
Berlin based healthtech startup Inne DSM Venturing has raised an additional 10 million (€ 9.3M) in funding.
The Borsky Fund also participated in the Cal Storm Ventures Round with Angel Tavet Hinrikus (Wise), Dr. Fiona Pathiraja, Ralph Schromzens (Trivago).
Inne will use the investment to continue developing its mini-lab and platform to serve more areas of women’s health and expand into the United States.
The startup is extending its progesterone tracking feature to perimenopause and adding the ability to analyze stress through the cortisol tracking strip.
Irini Rapti, founder and CEO, Inn, said: “Inn can be a trusted partner for millions of women worldwide, democratizing insights and access to information.”
NuvoAir has launched remote asthma services in collaboration with 17 NHS trusts
Swedish startup NovoAir Is collaborating with 17 NHS trusts to launch a virtual asthma assessment service.
The service uses a sensor to track respiratory physiologists and attached home monitoring technology and inhaler use and strategy to assess lung function variability.
Lorenzo Consoli, founder and CEO of NuvoAir, said: “We are excited to be able to redesign the new care pathways for people with asthma with the help of NHS and visionary physicians. By combining high technology with high touch, we can help patients get the right treatment at the right time to prevent the onset of asthma. “
British digital health startup Healum has launched a research network
UK based startup Hilum Has launched a research community for people with long-term health conditions such as diabetes or heart disease.
Patients will be invited to create directions on how the new advanced AI technology will use their information and will have the option to share their health data to help others in the same situation.
The community is also open to healthcare providers and researchers who are interested in partnering with patients to learn which methods work best to achieve health outcomes.
Jonathan Abraham, CEO and co-founder, Hillum, said: “AI has the potential to unlock many benefits for healthcare if it is driven by the wisdom of the people who provide and use the services.”
Leeds Teaching Hospital joins NHS Trust Leeds-Israel Innovation Healthtech Gateway
Leeds Teaching Hospital NHS Trust Announced that it is a partner of the newly launched Leeds-Israel Innovation Healthtech Gateway.
The first such initiative in the UK is aimed at increasing cooperation and assisting high-growth Israeli technology companies in expanding into the UK.
Dame Linda Pollard, Chair, Leeds Teaching Hospitals NHS Trust, said: “This is a fantastic initiative that will enable us to strengthen our connection with Israel and leading healthcare businesses innovating in healthcare technology.”
Ongoing IT problems are hampering four NHS hospitals in Greater Manchester
Some patients had to wait 11 hours in the emergency department due to an IT system failure at NHS Hospital in Greater Manchester, UK.
Dr Chris Brooks, deputy CEO and CMO of the Northern Care Alliance NHS Trust, said on Wednesday (25) that they were still working to resolve “significant IT issues” affecting digital systems at Oldham, Bury and Rochdale as well as North Manchester General’s digital systems. The hospital is managed by the Manchester University NHS Foundation Trust.
He added that patients may experience delays across services, but personal data held by the NHS and trusts was “secure and unaffected.”
AI startup VeinCV GPU gets free access to cloud solutions
Russian Medtech startup Venicev Free access to the VK Cloud Solutions platform, based on graphics accelerators (GPUs).
The spin-out at the Skolkovo Institute of Science and Technology in Moscow has developed a medical imaging system that simplifies blood transfusions using neural networks to analyze near-infrared images of veins and project a venous pattern through the patient’s body.
Oleg Rogov, co-founder and CEO of VeinCV, said: “Using VK Cloud Solutions GPUs, the VeinCV team has been able to create and train segmentation models, improved data quality from VeinCV systems by 11%. Accelerated and simplified further development. “