Insights
From stratospheric antennas to implantable bio-sensors, from the thermodynamics of carbon capture to quantum technology and AI-designed biology, we use deep tech to challenge and change the status quo.
Read our latest research and insights to help you see beyond the innovation hype and find out how emerging technologies are solving important business problems.
Cracking genomics needs biology and engineering to find a common language
The first company to deploy cost-effective genomic measurements in mainstream medicine will not only transform healthcare, but also create lasting business value. But why has no-one cracked it yet? ...
The precision medicine industry must work together to transform rare disease treatment
Precision medicine is leading to transformative patient treatments – but industry collaboration is needed to make sure patients with rare diseases are not left behind ...
Metamorphosis: How converging deep tech will propel business in the new bioeconomy
Emerging deep tech like biotechnology and synthetic biology are shaping an exciting new bioeconomy. This CC Innovation Briefing offers a vision for its future, and explains how scalable, profitable and resilient bioprocesses will benefit businesses and sustainability ...
Where does quantum technology sit as part of a system?
For many business leaders, quantum technology remains confusing and inaccessible. But it can feel more familiar when it takes its place as part of a wider system. Here Edmund Owen explains the keys to integrating quantum components into larger systems, ...
Quantum computing adoption – it’s time to seize the initiative
Quantum technology commercial adoption will be gradual – but that doesn’t mean ambitious business leaders should adopt a wait and see approach ...
Overcoming the regulatory challenges of smart active ophthalmic devices
The ophthalmology world is welcoming a new wave of sophisticated implant technology designed to transform diagnosis and treatment ...
What is the key to successful ophthalmology home monitoring?
The digital future of ophthalmology comes with the promise of improved patient access, better quality of care, reduced workloads, optimised efficiencies and improved quality of life for patients and HCPs. There are many challenges to be overcome, not least the ...
Towards 2040 – a vision for ophthalmology
A select group of thought leaders gathered at Cape Cod, by the shores of the Atlantic Ocean. They were there to collaborate, to challenge conventional thinking, and ultimately to shape a realistic vision for the future of ophthalmology ...
Semi-supervised learning for R&D of AI-powered cancer pathology
What is semi-supervised machine learning? And what could it mean for the research and development of AI-powered digital medical systems? Andrew Goulter reports on state-of-the art deep learning research that promises huge savings in the time and expense of development ...
