Consumer protection

AI and optical imaging transform thyroid cancer surgery

Thyroid cancer, the most common endocrine malignancy, poses challenges for surgeons trying to remove tumours while preserving healthy tissue.

Fine-needle aspiration and pathology are accurate but slow, providing no real-time guidance and sometimes causing unnecessary or incomplete surgeries. Dynamic Optical Contrast Imaging (DOCI) uses cells’ natural light to quickly distinguish healthy tissue from cancer.

The technique captures 23 optical channels from freshly excised tissue, creating detailed spectral maps without dyes or contrast agents. These optical signatures allow for rapid, label-free tissue analysis.

Researchers at Duke University and UCLA combined DOCI with AI to improve accuracy in classification and localisation. A two-stage machine-learning approach first categorised tissue as healthy or cancerous, including common and aggressive thyroid cancer subtypes.

Deep-learning models then produced tumour probability maps, pinpointing cancerous regions with minimal false positives.

Although initial studies focused on post-excision tissue, the technology could soon offer surgeons real-time guidance in the operating room. By combining optical imaging with AI, DOCI may reduce unnecessary surgery, preserve healthy tissue, and improve outcomes for thyroid cancer patients.

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New UK cyber strategy focuses on trust in online public services

The UK government has announced new measures to strengthen the security and resilience of online public services as more interactions with the state move online. Ministers say public confidence is essential as citizens increasingly rely on digital systems for everyday services.

Backed by more than £210 million, the UK Government Cyber Action Plan outlines how cyber defences and digital resilience will be improved across the public sector. A new Government Cyber Unit will coordinate risk identification, incident response, and action on complex threats spanning multiple departments.

The plan underpins wider efforts to digitise public services, including benefits applications, tax payments, and healthcare access. Officials argue that secure systems can reduce bureaucracy and improve efficiency, but only if users trust that their data is protected.

The announcement coincides with parliamentary debate on the Cyber Security and Resilience Bill, which sets clearer expectations for companies supplying services to the government. The legislation is intended to strengthen cyber resilience across critical supply chains.

Ministers also highlighted new steps to address software supply chain risks, including a Software Security Ambassador Scheme promoting basic security practices. The government says stronger cyber resilience is essential to protect public services and maintain public trust.

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ChatGPT Health offers personalised health support

OpenAI has launched ChatGPT Health, a secure platform linking users’ health information with ChatGPT’s intelligence. The platform supports, rather than replaces, medical care, helping users understand test results, prepare for appointments, and manage their wellness.

ChatGPT Health allows users to safely connect medical records and apps such as Apple Health, Function, and MyFitnessPal. All data is stored in a separate Health space with encryption and enhanced privacy to keep sensitive information secure.

Conversations in Health are not used to train OpenAI’s models.

The platform was developed with input from more than 260 physicians worldwide, ensuring guidance is accurate, clinically relevant, and prioritises safety.

HealthBench, a physician-informed evaluation framework, helps measure quality, clarity, and appropriate escalation in responses, supporting users in making informed decisions about their health.

ChatGPT Health is initially available outside the EEA, Switzerland, and the UK, with wider access coming in the coming weeks. Users can sign up for a waitlist and begin connecting records and wellness apps to receive personalised, context-aware health insights.

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Roblox rolls out facial age checks for chat

The online gaming platform, Roblox, has begun a global rollout requiring facial age checks before users can access chat features, expanding a system first tested in selected regions late last year.

The measure applies wherever chat is available and aims to create age-appropriate communication environments across the platform.

Instead of relying on self-declared ages, Roblox uses facial age estimation to group users and restrict interactions, limiting contact between adults and children under 16. Younger users need parental consent to chat, while verified users aged 13 and over can connect more freely through Trusted Connections.

The company says privacy safeguards remain central, with images deleted immediately after secure processing and no image sharing allowed in chat. Appeals, ID verification and parental controls support accuracy, while ongoing behavioural checks may trigger repeat age verification if discrepancies appear.

Roblox plans to extend age checks beyond chat later in 2026, including creator tools and community features, as part of a broader push to strengthen online safety and rebuild trust in youth-focused digital platforms.

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Meta pauses global launch of Ray-Ban Display glasses

The US tech company, Meta, has paused the international launch of its Ray-Ban Display smart glasses after seeing higher-than-expected demand in the US.

Meta had planned to begin selling the glasses in the UK, France, Italy and Canada in early 2026, but will now prioritise fulfilling US orders instead of expanding availability.

These smart glasses work with the Meta Neural Band wrist device, which interprets small hand movements.

Meta demonstrated new tools at CES in Las Vegas, including a teleprompter mode for delivering prepared remarks and a feature that lets users write messages by moving a finger across any surface while wearing the Neural Band. Pedestrian navigation support is also being extended to additional US cities.

Meta says demand has created waiting lists stretching well into 2026, prompting the pause while it reassesses global rollout plans.

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Samsung puts AI trust and security at the centre of CES 2026

The South Korean tech giant, Samsung, used CES 2026 to foreground a cross-industry debate about trust, privacy and security in the age of AI.

During its Tech Forum session in Las Vegas, senior figures from AI research and industry argued that people will only fully accept AI when systems behave predictably, and users retain clear control instead of feeling locked inside opaque technologies.

Samsung outlined a trust-by-design philosophy centred on transparency, clarity and accountability. On-device AI was presented as a way to keep personal data local wherever possible, while cloud processing can be used selectively when scale is required.

Speakers said users increasingly want to know when AI is in operation, where their data is processed and how securely it is protected.

Security remained the core theme. Samsung highlighted its Knox platform and Knox Matrix to show how devices can authenticate one another and operate as a shared layer of protection.

Partnerships with companies such as Google and Microsoft were framed as essential for ecosystem-wide resilience. Although misinformation and misuse were recognised as real risks, the panel suggested that technological counter-measures will continue to develop alongside AI systems.

Consumer behaviour formed a final point of discussion. Amy Webb noted that people usually buy products for convenience rather than trust alone, meaning that AI will gain acceptance when it genuinely improves daily life.

The panel concluded that AI systems which embed transparency, robust security and meaningful user choice from the outset are most likely to earn long-term public confidence.

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Chatbots under scrutiny in China over AI ‘boyfriend’ and ‘girlfriend’ services

China’s cyberspace regulator has proposed new limits on AI ‘boyfriend’ and ‘girlfriend’ chatbots, tightening oversight of emotionally interactive artificial intelligence services.

Draft rules released on 27 December would require platforms to intervene when users express suicidal or self-harm tendencies, while strengthening protections for minors and restricting harmful content.

The regulator defines the services as AI systems that simulate human personality traits and emotional interaction. The proposals are open for public consultation until 25 January.

The draft bans chatbots from encouraging suicide, engaging in emotional manipulation, or producing obscene, violent, or gambling-related content. Minors would need guardian consent to access AI companionship.

Platforms would also be required to disclose clearly that users are interacting with AI rather than humans. Legal experts in China warn that enforcement may be challenging, particularly in identifying suicidal intent through language cues alone.

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Grok misuse prompts UK scrutiny of Elon Musk’s X

UK Technology Secretary Liz Kendall has urged Elon Musk’s X to act urgently after reports that its AI chatbot Grok was used to generate non-consensual sexualised deepfake images of women and girls.

The BBC identified multiple examples on X where users prompted Grok to digitally alter images, including requests to make people appear undressed or place them in sexualised scenarios without consent.

Kendall described the content as ‘absolutely appalling’ and said the government would not allow the spread of degrading images. She added that Ofcom had her full backing to take enforcement action where necessary.

The UK media regulator confirmed it had made urgent contact with xAI and was investigating concerns that Grok had produced undressed images of individuals. X has been approached for comment.

Kendall said the issue was about enforcing the law rather than limiting speech, noting that intimate image abuse, including AI-generated content, is now a priority offence under the Online Safety Act.

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California launches DROP tool to erase data broker records

Residents in California now have a simpler way to force data brokers to delete their personal information.

The state has launched the Delete Requests and Opt-Out Platform, known as DROP, allowing residents to submit one verified deletion request that applies to every registered data broker instead of contacting each company individually.

A system that follows the Delete Act, passed in 2023, and is intended to create a single control point for consumer data removal.

Once a resident submits a request, the data brokers must begin processing it from August 2026 and will have 90 days to act. If data is not deleted, residents may need to provide extra identifying details.

First-party data collected directly by companies can still be retained, while data from public records, such as voter rolls, remains exempt. Highly sensitive data may fall under separate legal protections such as HIPAA.

The California Privacy Protection Agency argues that broader data deletion could reduce identity theft, AI-driven impersonation, fraud risk and unwanted marketing contact.

Penalties for non-compliance include daily fines for brokers who fail to register or ignore deletion orders. The state hopes the tool will make data rights meaningful instead of purely theoretical.

A launch that comes as regulators worldwide examine how personal data is used, traded and exploited.

California is positioning itself as a leader in consumer privacy enforcement, while questions continue about how effectively DROP will operate when the deadline arrives in 2026.

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AI tool helps find new treatments for heart disease

A new ΑΙ system developed at Imperial College London could accelerate the discovery of treatments for heart disease by combining detailed heart scans with huge medical databases.

Cardiovascular disease remains the leading cause of death across the EU, accounting for around 1.7 million deaths every year, so researchers believe smarter tools are urgently needed.

The AI model, known as CardioKG, uses imaging data from thousands of UK Biobank participants, including people with heart failure, heart attacks and atrial fibrillation, alongside healthy volunteers.

By linking information about genes, medicines and disease, the system aims to predict which drugs might work best for particular heart conditions instead of relying only on traditional trial-and-error approaches.

Among the medicines highlighted were methotrexate, normally used for rheumatoid arthritis, and diabetes drugs known as gliptins, which the AI suggested could support some heart patients.

The model also pointed to a possible protective effect from caffeine among people with atrial fibrillation, although researchers warned that individuals should not change their caffeine intake based on the findings alone.

Scientists say the same technology could be applied to other health problems, including brain disorders and obesity.

Work is already under way to turn the knowledge graph into a patient-centred system that follows real disease pathways, with the long-term goal of enabling more personalised and better-timed treatment.

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