Biomedical Data Analytics News
Reflections on attending MIUA 2026 as a computer science novice
As a professional services colleague in the Department of Computer Science at the ÉñÂí¸£ÀûӰƬ and Centre Manager for the TIA I »å´Ç²Ô’t usually attend scientific conferences. This was my first attendance at a conference focussed on medical imaging and analysis. In the past I have attended scientific conferences focussed on renal disease and health improvement, so I was familiar with the format of scientific conferences and have even presented a poster on behalf of a team in Sweden, at a health improvement conference, on the team’s work around renal disease. Read more.
By Karen Thomas
TIA Centre's Adam Shephard discusses AI and oral cancer risk in The Pathologist
We are delighted to share that Adam Shephard was featured in article, The Hidden Signals of Oral Cancer Risk’, discussing how AI could help improve risk assessment and outcomes for patients with oral epithelial dysplasia. Read the article .
TIA at ECDP 2026
European Congress on Digital Pathology (ECDP), Graz, Austria
The TIA Centre was out in full force again at the 22nd European Congress on Digital Pathology (ECDP) 2026, this year held in Graz, just a few kilometres from Arnold Schwarzenegger's birthplace. With temperatures regularly exceeding 30°C, attendees enjoyed not only a packed scientific programme but also the opportunity to experience one of Austria's most picturesque cities, famous for its historic Old Town and the iconic Schlossberg clock tower overlooking the city. Read more.
By Adam Shephard
DCS Student Helps Uncover and Fix Mobile Network Security Flaw
Warwick undergraduate Sasha Shaw has helped uncover and responsibly disclose a security flaw in a UK mobile network as part of his dissertation project, supervised by Professor Feng Hao. The vulnerability has now been patched, and Sasha has been recognised by BT on its responsible disclosure Hall of Fame. His project examined the security of the SIP stack over VoLTE and highlights the real-world impact that student cybersecurity research can have.
Information Asymmetry and Cryptography
In a recent work, visiting undergraduate student Yahel Manor and Warwick DCS researchers and addressed a fundamental question relevant to the security of cryptographic protocols.
The symmetry of information principle says that the amount of information that a sequence x of bits reveals about another sequence y is essentially the same in either direction. This is known to hold in an idealised world where computations can take an arbitrarily long time, as demonstrated by A. Kolmogorov and L. Levin in the 1970s. In contrast, modern cryptography is built around deliberate asymmetry—for example, functions of the form y = f(x) that are easy to compute but hard to invert (one-way functions).
The new work shows that, once one moves from the idealised setting of time-unbounded computations to the more realistic world of efficient, randomised computations (algorithms that must run quickly and may use randomness), this symmetry can fail in a strong and unconditional way. In other words, computational constraints can yield information asymmetry. In practical terms, this supports the intuition that information may not be extracted efficiently: knowing y = f(x) may not make x efficiently recoverable to the extent that an (ineffective) symmetry principle would suggest, even when x and y are closely related.
Earlier work formally tied an average-case form of this symmetry failure to the existence of one-way functions, the central primitive in cryptography. By proving new failures of symmetry of information, the authors provide concrete progress towards the computational asymmetry that underpins encryption, digital signatures, and many other cryptographic protocols.
This work will be presented at the 58th Annual ACM Symposium on Theory of Computing (STOC) in June 2026 in Salt Lake City, Utah, USA.
Failure of Symmetry of Information for Randomised Computations
Jinqiao Hu (ÉñÂí¸£ÀûӰƬ); Yahel Manor (University of Haifa); Igor C. Oliveira (ÉñÂí¸£ÀûӰƬ)
The paper describing this research is available .
, PhD student in the Department of Computer Science at the ÉñÂí¸£ÀûӰƬ, and co-author of the new result.