Innovation Birmingham campus announces expansion

Innovation Birmingham campus announces expansion

Innovation Birmingham campus announces expansion

Birmingham City Council has today approved plans for a new 120,000 sq ft development that will provide new workspace for digital and tech businesses, supporting the rapid growth of the sector in the West Midlands.

The new £30m Enterprise Wharf is being developed by Bruntwood SciTech at the Innovation Birmingham campus – already the UK’s largest dedicated digital tech campus which is home to over 170 businesses working in high growth sectors such as edtech, sportstech, medtech, VR, AR and cybersecurity.

The news comes as tech job vacancies in the region leapt 27% over the first quarter of this year compared to the same period in 2019, particularly in areas such as fintech, cyber security and IoT, according to JobFeed data.

The building will feature a large, open plan reception and collaboration space, cycle storage and kit drying room, showers and a roof garden and will be delivered alongside new outdoor breakout space, landscaping and public realm, including improved access to the adjacent Birmingham and Fazeley canal.

David Hardman, Managing Director, Bruntwood SciTech – Birmingham, said: “The West Midlands is home to an ever-expanding digital tech ecosystem. Connecting start-ups with global corporates and the public sector is crucial to its evolution.

“Enterprise Wharf will help to expand our innovation community and help the sector flourish.”

Cllr Ian Ward, Leader of Birmingham City Council, added: “A thriving digital economy is essential for the city’s future and Enterprise Wharf will provide the kind of quality infrastructure that’s needed to entice established players to Birmingham, while also helping to catalyse future success stories from within our community of entrepreneurs.”

Located next to both Aston University and Birmingham City University, Bruntwood SciTech’s Innovation Birmingham campus is already a magnet for digital tech entrepreneurs, start-ups, scale ups and large corporates. Enterprise Wharf is currently scheduled for completion in 2022. 

Apple, innovation and education in the times of coronavirus - Latest News

Apple, innovation and education in the times of coronavirus – Latest News

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FDA approves AI-triage telehealth radiological review - Med-Tech Innovation

FDA approves AI-triage telehealth radiological review – Med-Tech Innovation

Nines has announced the NinesAI medical device making artificial intelligence is available to the telehealth industry.

NinesAI is FDA-cleared and supports the automated radiological review of CT Head images for the possible presence of two time-critical, life-threatening indications – intracranial haemorrhage and mass effect – to aid radiologists in triaging cases. NinesAI will be​ deployed to radiologists in Nines’ teleradiology practice and will also be available to Nines’ customers for in-house use at no added cost. 

Radiologists suffer from high rates of burnout, according to MedScape’s Radiologist Lifestyle 2020 report,​ due to ever-increasing workload and suboptimal working conditions. Nines aims to relieve those burdens via more efficient workflows that positively impact patient care. Its team has developed Nines Navigator worklist and the Nines Reading Assistant, which are administrative, non-medical device programs to improve radiologist focus. ​NinesAI assists radiologists by alerting them to the possible presence of​ intracranial haemorrhage and mass effect on head CT scans, life-threatening conditions that can be prioritised for review and consultation with hospital physicians treating patients.  

Nines co-founder and CEO, David Stavens, said: “At Nines, we believe the application of advanced technology can address complex and pressing challenges in healthcare, and in particular for radiology, solve for a higher rate of burnout among radiologists. With clearance from FDA, we’re proud to offer transformative AI innovation supporting the prioritisation and triage of emergent conditions to complement radiologists’ work and ultimately improve the quality of patient care. We’re excited to partner with customers who seek cutting edge tools to deal with the conditions that matter most for patients.”

App allows GPs and paramedics to screen COVID-19 patients - Med-Tech Innovation

App allows GPs and paramedics to screen COVID-19 patients – Med-Tech Innovation

A healthtech platform is reducing pressure on hospital services by enabling GPs and paramedics to screen COVID-19 patients in collaboration with specialists via an app.

Cinapsis – a digital triage platform founded by NHS surgeon Owain Rhys Hughes – allows patients to be assessed by specialists as part of their GP appointment or 999 call response, enabling clinicians to pool their expertise and work together to support patients remotely.

The platform connects primary care clinicians such as GPs and community lead nurses with consultants from the local NHS Trust who can provide advice about a patient’s management in real time, including using images. This enables assessments to be made in situ, reducing unnecessary person-to-person contacts and patient trips to hospital. 

Founder and CEO of Cinapsis, Dr Owain Hughes, said: “At this critical time, Cinapsis is making it easier for GPs and emergency healthcare workers to quickly identify the best course of action for any patient exhibiting symptoms suggestive of COVID-19, whether that’s sending them to hospital or ensuring that they receive the care they need within their community. Local specialists can respond to questions from their colleagues in seconds and ensure decisions are made quickly, seamlessly and in the patient’s best interests.”

With health professionals keen to stress that anyone with health worries should still seek help, the app means patients can continue to access consultant advice as part of their GP appointment.

In Gloucestershire Cinapsis is being used across the One Gloucestershire Integrated Care System (ICS) which includes Gloucestershire Hospitals NHS Foundation Trust, Gloucestershire Health and Care NHS Foundation Trust, South Western Ambulance Service NHS Foundation Trust, NHS Gloucestershire Clinical Commissioning Group and all of its 73 GP practices.

Around 32% of patients with suspected COVID-19 whose GPs or paramedics were able to offer alternatives to hospital care were instead managed at home, relieving pressure on the NHS at this critical time.

Dr Malcolm Gerald, lead GP on the Cinapsis project in Gloucestershire, said: “Not only are we helping to reassure and better manage our patients by giving them the benefit of specialist advice, we are also reducing demand on busy hospitals by making properly informed decisions. Our data shows that following discussion with a specialist around a third of COVID-19 patients whose referring clinician had significant concerns about them did not need to be admitted to hospital. This has reduced unnecessary patient, family and staff exposure to the virus, whilst keeping important bed space free for those most in need.” 

Cinapsis is a smart referral system which uses a mobile or desktop app to put primary care clinicians in direct contact with the right specialist via their mobile phone or a landline. It can also allow messages, images and video to be used – and all in a data-secure environment.

The referrer can make a single call, receive the best available advice, forward summary documents to the specialist and arrange transport if needed. Specialists can manage their rotas with ease, respond to calls quickly from wherever they are and then forward relevant information to the receiving department, sharing work across their team and prioritising cases. 

All advice is recorded and an electronic letter summarising the consultation is sent to the patient’s GP practice. 

How AI can help win the fight against Coronavirus - Med-Tech Innovation

How AI can help win the fight against Coronavirus – Med-Tech Innovation

Nicole Junkermann, international entrepreneur and investor, and the founder of NJF Holdings explains how AI technology can help win the fight against Coronavirus and transform the future of healthcare.

Coronavirus has pushed healthcare systems to their limits and pushed researchers to rapidly search for solutions. Now is the time to turn to technology and ensure that cutting-edge research in artificial intelligence (AI), machine learning, and health informatics are part of our pandemic response.

From predictive care to precision health testing, many clinicians and hospitals are already using AI to improve day-to-day care. Health AI has become increasingly sophisticated and efficient, and a new wave of investment and research in the wake of the coronavirus crisis could spur even more innovation.

Numerous tech companies, universities, and researchers are stepping up to apply AI technology to pandemic response. Already, Microsoft, Google, and several small start-ups such as BlueDot and OWKIN are tapping into the immense power of combining human teams with machines in order to combat the pandemic.

“The solution to COVID-19 is not likely going to come from one person, one company or one country,” said Peter Lee, corporate vice president for microsoft healthcare. “This is a global issue, and it will be a global effort to solve it.”

The most successful interventions will come from human-machine collaboration – but we must take great care to implement AI technologies with a clear understanding of how they will interface with people working on the frontlines of the coronavirus crisis.

The Power of Human-Machine teams

More than 7,000 miles away from Wuhan, China, an AI warning system developed by Toronto start-up BlueDot was among the first in the world to identify the emerging risk from COVID-19. In a report by Forbes “How AI may prevent the next coronavirus outbreak”, BlueDot’s AI system constantly scans through 100,000 official and mass media sources in 65 languages each day in order to detect outbreaks in real-time. And on the last day of December 2019, the system alerted one of BlueDot’s human employees to a potential pneumonia-like outbreak in China’s Hubei province. 

That employee was able to recognise parallels to the 2002 SARS outbreak and pursue further modelling of the disease, which led BlueDot to publish the first scientific paper on COVID-19, accurately predicting its global spread.

“While diseases spread fast, knowledge can spread even faster,” said BlueDot in a blog post. The company argues that traditional disease surveillance, which relies primarily on people, takes a great deal of time and often results in public health officials missing relevant warnings or receiving crucial information when it’s too late.

Researchers are building AI systems to augment – not replace – human expertise and capabilities, allowing for more informed healthcare responses and decisions.

At Stanford University’s Institute for Human-Centered AI, researchers and clinicians are already developing AI-based methods to help hospitals manage the flood of COVID-19 patients. Dr Ron Li, clinical assistant professor at Stanford Medicine, is exploring how to use machine learning to identify patients who will need intensive care before the patient’s condition deteriorates. Li’s team is working to apply an existing machine learning model on patient deterioration to coronavirus patients. The goal is to roll this technology out allowing the decisions taken by hospital clinicians to be augmented by reliable data that is generated with AI.

“The benefit of having a machine learning model is that it learns very quickly. It can learn over thousands or hundreds of thousands of patients, whereas as a clinician I can only learn from the limited patient population I see,” said Li during Stanford’s virtual conference on COVID-19 and AI. “Also, it can do things at scale – some things that humans can’t do.”

Stanford professor Binbin Chen is using AI to help develop a COVID-19 vaccine. According to Stanford, Chen’s team “uses AI to examine fragments of SARS-CoV-2 to determine how they might apply to COVID-19 vaccines.” By combining immunology principles and machine learning tools, the team can predict immunogenic components of a virus that help scientists get closer to determining what components to include in that virus’s vaccine.

Microsoft is also pioneering human-machine teams and announced the launch of its “C3.ai Digital Transformation Institute,” which will bring together scientists, academics, and private companies to explore AI techniques to mitigate the spread of COVID-19.

“In these difficult times, we need – now more than ever – to join our forces with scholars, innovators, and industry experts to propose solutions to complex problems. I am convinced that digital, data science, and AI are a key answer,” said Gwenaëlle Avice-Huet, executive vice president of ENGIE, an energy company that is part of the new partnership.

AI technology to prepare for the next crisis

The application of AI tools reaches far beyond one virus. As we fight coronavirus, we must also look beyond the current crisis and recognise the great potential this technology has for the future of healthcare.

In the field of neuroscience, Google’s DeepMind Health is using machine learning to develop algorithms that mimic the human brain. DeepMind Health also created a “mobile medical assistant,” which helps doctors and nurses spot serious kidney conditions earlier and helps clinicians deliver better care to patients with acute kidney injuries or sepsis.

“Patient care can be improved, and healthcare costs reduced, through the use of digital tools,” said DeepMind. “Together, they form the foundation for a transformative advance in medicine, helping to move from reactive to preventative models of care.”

As technology improves and as investment increases, it becomes clear that AI has the potential to transform healthcare across the board. In order to tackle the biggest challenges facing medicine and public health, we must continue equipping researchers, data scientists, and clinicians with powerful AI tools, as well as improve our implementation of human-machine collaborations in the real-world. These powerful AI tools aren’t replacing human knowledge or decision-making, but rather giving healthcare professionals more information and models to tackle coronavirus. We must recognise the great potential of AI technology to improve not only our response to this pandemic, but also the future of healthcare in general.