Women’s health startup Inne raises $10M

Berlin-based healthtech startup Inne has raised an additional $10 million (€9.3M) in funding led by DSM Venturing.

Borski Fund and Calm Storm Ventures also participated in the round, along with angels Taavet Hinrikus (Wise), Dr Fiona Pathiraja and Rolf Schromgens (Trivago).

Inne will use the investment to continue to develop its mini lab and platform to serve more areas of women’s health and expand into the U.S. 

The startup is expanding its progesterone-tracking feature to perimenopause and adding the ability to analyse stress through a cortisol tracking strip.

Eirini Rapti, founder and CEO, Inne, said: “Inne can be the trusted partner for millions of women around the world, democratising the access to insight and information.”

NuvoAir launches remote asthma service in collaboration with 17 NHS trusts

Swedish startup NuvoAir is collaborating with 17 NHS trusts to launch a virtual asthma assessment service.

The service uses respiratory physiologists and connected home-monitoring technology to assess lung function variability, and a sensor to track inhaler use and technique.

NuvoAir founder and CEO, Lorenzo Consoli said: “We’re excited to partner with the NHS and forward-looking clinicians to redesign new care pathways for people with asthma. By blending high touch with high-tech, we’re able to help patients get on the right treatment at the right time to prevent asthma exacerbations.”

British digital health startup Healum launches research network

U.K.-based startup Healum has launched a research community for people with long-term health conditions, such as diabetes and heart disease.

Patients will be invited to shape the ways the newly developed AI technology uses their information and will have the option to share their health data to help others with the same conditions.

The community is also open to healthcare providers and researchers who are interested in partnering with patients to learn what approaches work best in achieving health outcomes.

Jonathan Abraham, CEO and cofounder, Healum, said: “AI has the potential to unlock many benefits for healthcare if it is guided by the wisdom of the people that deliver and use services.”

Leeds Teaching Hospitals NHS Trust joins Leeds-Israel Innovation Healthtech Gateway

Leeds Teaching Hospitals NHS Trust has announced it is a partner in the newly launched Leeds-Israel Innovation Healthtech Gateway.

This first of its kind in the UK initiative aims to foster collaboration and support high-growth Israeli tech firms on their expansion to the UK.

Dame Linda Pollard, chair, Leeds Teaching Hospitals NHS Trust, said: “This is a fantastic initiative which will enable us to strengthen our links with Israel and the health sector businesses which are at the leading edge of innovation in healthcare technology." 

Ongoing IT issues disrupt four NHS hospitals in Greater Manchester

An IT system failure at NHS hospitals in Greater Manchester, UK has led to some patients waiting for 11 hours in the emergency department.

Dr Chris Brookes, deputy CEO and CMO, Northern Care Alliance NHS Trust, said on Wednesday (25) they were still working to resolve “significant IT issues” affecting digital systems at hospitals at Oldham, Bury and Rochdale, as well as North Manchester General Hospital which is run by Manchester University NHS Foundation Trust. 

He added that patients may experience delays across services, but personal data held by the NHS and trust was “secure and unaffected.”

AI startup VeinCV gets free access to GPU cloud Solutions

Russian medtech startup VeinCV has been given free access to the VK Cloud Solutions platform, which is based on graphics accelerators (GPUs).

The spin-out from Moscow’s Skolkovo Institute of Science and Technology has developed a medical imaging system that makes blood draws easier by using neural networks to analyse near-infrared images of veins and project a venous pattern onto a patient’s body.

Oleg Rogov, cofounder and CEO, VeinCV, said: "Using VK Cloud Solutions GPUs, the VeinCV team was able to develop and train segmentation models, improving the quality of data received from VeinCV systems by 11%. The image has become better, and cloud computing has accelerated and simplified the further development of the project.”