Technology

This update focuses on how growing quantum sector investment in the UK and US is leading to the development and commercialization of quantum computing technologies with the potential to revolutionize and disrupt key sectors.  This is a fast-growing area that is seeing significant levels of public and private investment activity.  We take a look at how approaches differ in the UK and US, and discuss how a concerted, international effort is needed both to realize the full potential of quantum technologies and to mitigate new risks that may arise as the technology matures.

Quantum Computing

Quantum computing uses quantum mechanics principles to solve certain complex mathematical problems faster than classical computers.  Whilst classical computers use binary “bits” to perform calculations, quantum computers use quantum bits (“qubits”).  The value of a bit can only be zero or one, whereas a qubit can exist as zero, one, or a combination of both states (a phenomenon known as superposition) allowing quantum computers to solve certain problems exponentially faster than classical computers. 

The applications of quantum technologies are wide-ranging and quantum computing has the potential to revolutionize many sectors, including life-sciences, climate and weather modelling, financial portfolio management and artificial intelligence (“AI”).  However, advances in quantum computing may also lead to some risks, the most significant being to data protection.  Hackers could exploit the ability of quantum computing to solve complex mathematical problems at high speeds to break currently used cryptography methods and access personal and sensitive data. 

This is a rapidly developing area that governments are only just turning their attention to.  Governments are focusing not just on “quantum-readiness” and countering the emerging threats that quantum computing will present in the hands of bad actors (the US, for instance, is planning the migration of sensitive data to post-quantum encryption), but also on ramping up investment and growth in quantum technologies. Continue Reading Quantum Computing: Developments in the UK and US

The NHS has issued guidance on effective data partnerships, this blog summarises key terms for parties looking to collaborate on data driven projects with the NHS.
Continue Reading NHS Data Partnerships Guide – unlocking the benefits of data partnerships

Last week, the U.S. Food & Drug Administration (“FDA” or the “Agency”) issued a second discussion paper on the use of artificial intelligence (“AI”) and machine learning (“ML”) with respect to drug and biological products, this time focusing on the use of AI/ML in the drug and biologic development process, “Using Artificial Intelligence & …

On March 23, 2023, FDA released a Framework for the use of digital health technologies in drug and biological product development (the “DHT Framework”).  This DHT Framework is on the heels of a Discussion Paper the Agency released earlier this month on the use of artificial intelligence (AI) in drug manufacturing to seek public input…

Last week, Jeremy Hunt, Chancellor of the Exchequer, published his Spring Budget for the UK.  It identified life sciences and digital technologies as “high growth sectors,” which the UK Government wishes to prioritize.  Among other things, the Budget outlined the Government’s plans to simplify medicines and technology approvals, plus changes to the regulation…

Innovative digital solutions intended to address health issues typically experienced by women have been an area of increased focus.  Ranging from reproductive-related mobile applications to AI-enabled breast cancer screening devices, digital solutions for women+ health show promise to serve an enormous market with medical needs that have often failed to get the level of attention…

The UK has reaffirmed its commitment to leading the way in regulatory innovation in software as a medical device (“SaMD”) and artificial intelligence as a medical device (“AIaMD”).  On 17 October 2022, the UK Medicines & Healthcare products Regulatory Agency (“MHRA”) published its Guidance on “Software and AI as a Medical Device Change Programme …

Digital health technologies, including algorithms for use in health care, are being developed to aid healthcare providers and serve patients, from use with administrative tasks and workflow to diagnostic and decision support.  The use of artificial intelligence (“AI”) and machine learning algorithms in health care holds great promise, with the ability to help streamline care…

Spurred by the realities of the COVID-19 pandemic, FDA has taken a number of regulatory actions to advance the use of digital health technologies (“DHTs”) in clinical trials.  DHTs provide sponsors with opportunities to capture a broader array of information from study subjects than is typically available through traditional study designs.  This includes information from…

As we kick off 2022, several recent developments from FDA suggest that this year could be pivotal for the Agency’s digital health priorities.  From new FDA offices and artificial intelligence guidance, to FDA’s user fee commitments and must-pass legislation in Congress, this post outlines five key issues to watch in 2022 related to FDA and…