Development Archives | Page 9 of 499 | Digital Watch Observatory

AI-enhanced electronic nose shows promise for early ovarian cancer detection

Scientists are combining AI with advanced sensor technology, commonly known as an electronic nose, to detect subtle patterns in volatile organic compounds (VOCs) associated with ovarian cancer.

The AI component improves the system’s ability to differentiate disease-specific chemical fingerprints from benign or background VOC profiles, increasing sensitivity and specificity compared with earlier sensor-only approaches.

Ovarian cancer is notoriously difficult to diagnose in early stages due to vague symptoms and a lack of reliable screening tools. The AI-boosted electronic nose aims to fill this gap by analysing breath, urine, or blood headspace samples in a non-invasive manner, with the potential to be deployed in clinical or even point-of-care settings.

Early experimental results suggest that regressing VOC patterns using machine learning models can distinguish ovarian cancer cases with greater accuracy than traditional methods alone. However, larger clinical validation studies are still underway.

Researchers emphasise that this technology is intended as a screening and triage tool to flag individuals for more definitive diagnostics, not as a standalone diagnostic test at present.

If successfully scaled and validated, AI-enhanced VOC detection could lead to earlier interventions and improved survival outcomes for patients with ovarian cancer.

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CarGurus data leak surfaces as ShinyHunters publishes archive

The ShinyHunters extortion group has published a 6.1GB archive, which it claims contains more than 12 million records stolen from CarGurus, a US-based automotive platform. Have I Been Pwned listed the dataset, reporting that roughly 3.7 million records appear to be new.

The exposed information includes email addresses, IP addresses, full names, phone numbers, physical addresses, user account IDs, and finance-related application data belonging to CarGurus users. Dealer account details and subscription information were also reportedly included in the archive.

CarGurus has not issued a public statement confirming a breach. However, Have I Been Pwned said it attempts to verify the authenticity of datasets before adding them to its database, suggesting a level of validation of the leaked material.

Security experts warn that the availability of the data could increase the risk of phishing. Users are advised to remain cautious of unsolicited communications and potential scams that may leverage the exposed personal information.

ShinyHunters has recently claimed attacks against multiple large organisations across telecoms, fintech, retail, and media. The group is known for using social engineering tactics, including voice phishing and malicious OAuth applications, to gain access to SaaS platforms and extract customer data.

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AI helps researchers see the bigger picture in cell biology

Scientists at Massachusetts Institute of Technology (MIT) report progress in applying AI to integrate and interpret diverse biological datasets, helping overcome key challenges in cell biology research.

Traditional experimental approaches often generate fragmented data, such as gene expression profiles, imaging, and molecular interactions, that are difficult to combine into a coherent view of cellular systems.

By contrast, AI models can learn patterns across multiple data types, reveal connections between disparate datasets, and generate holistic representations of cell behaviour that would otherwise require extensive manual synthesis.

The new AI techniques allow researchers to uncover relationships between genes, proteins and cellular processes with greater clarity, enabling improved hypothesis generation, experimental design and understanding of complex biological phenomena such as development, disease progression and response to therapies.

Because these AI tools can help prioritise experimental directions and reduce reliance on trial-and-error studies, they may accelerate breakthroughs in areas ranging from immunology to cancer biology.

Researchers emphasise that AI complements, rather than replaces, traditional biological expertise, acting as a data-driven partner that expands scientists’ ability to see the ‘bigger picture’ across scales and contexts.

Ethical and methodological considerations also underscore the importance of validating AI-generated insights with rigorous experiments.

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How multimodal sensing powers physical AI

Multimodal sensing allows physical AI systems to combine inputs such as vision, audio, lidar and touch to build situational awareness in real time. The approach enables machines to operate autonomously in complex physical environments.

The architecture typically includes input modules for individual sensors, a fusion module to combine relevant data, and an output module to generate actions. Applications range from robotics and autonomous vehicles to spatial AI systems navigating dynamic 3D spaces.

Fusion techniques vary by use case, from Bayesian networks for uncertainty management to Kalman filters for navigation and neural networks for robotic manipulation. The aim is to leverage complementary sensor strengths while maintaining reliability.

Implementation presents technical challenges including environmental noise filtering, calibration across time and space, and balancing redundant versus complementary sensing. Engineers must also manage tradeoffs in processing power, controllers and system design.

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UiPath launches agentic AI to streamline healthcare operations

UiPath has unveiled new agentic AI solutions for healthcare providers and payers. The tools focus on medical record summarisation, claim denial prevention, and prior authorisation, connecting data to speed workflows and improve efficiency.

Healthcare organisations face labour shortages and fragmented systems, making revenue cycle management challenging. Providers produce large volumes of clinical documentation that must be quickly turned into actionable insights for accurate reimbursement.

The platform converts records into concise, citation-backed summaries, automates claim review and appeals, and streamlines eligibility checks. AI predicts risks, reduces errors, and accelerates clinical and administrative processes for providers and payers alike.

UiPath partners with innovators such as Genzeon to embed domain expertise. The solution addresses rising costs, complex regulations, and labour challenges, helping teams make data-driven decisions and improve patient outcomes.

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AI accelerates drug formulation through predictive modelling

Low solubility and poor bioavailability remain major hurdles in small-molecule drug development, often preventing promising candidates from reaching clinical trials. Traditional trial-and-error methods are time-consuming and depend heavily on the limited availability of active pharmaceutical ingredients (APIs).

AI and machine learning now provide predictive models that anticipate solubility, permeability and systemic exposure. These tools let scientists prioritise high-impact experiments while conserving valuable material.

Digital platforms combine predictive algorithms with stability testing to guide excipient and technology selection. AI can simulate molecular interactions and dose scenarios, helping teams identify risks early and refine first-in-human doses safely.

End-to-end AI/ML workflows integrate data, modelling and manufacturing insights. However, this accelerates development timelines, lowers the risk of late-stage reformulations and connects early formulation choices directly to clinical and manufacturing outcomes.

While AI enhances efficiency and precision, it does not replace human expertise. It amplifies formulation scientists’ work, freeing them to focus on innovative design, problem-solving and delivering high-quality therapies to patients more rapidly.

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AI respond better to clarity than courtesy

Large language models are designed to mimic human conversation, but treating them like people can mislead users. Politeness, flattery, or threats do not consistently improve the accuracy of AI responses.

Experts recommend focusing on how questions are structured rather than on word choice. Asking for multiple options, giving examples, and conducting step-by-step interviews can make AI outputs more relevant and useful.

Role-playing may be effective for creative or exploratory tasks, but it can reduce reliability when precise answers are required. AI models are constantly updated, making old prompting tricks largely ineffective.

Maintaining neutrality in prompts prevents biased responses, and while politeness may not improve AI performance, it can make interactions more comfortable. Developing careful prompt strategies is more effective than relying on manners alone.

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AI-animated videos strengthen BBC World Service content strategy

AI is increasingly being tested in media production as organisations adapt to changing digital consumption patterns. Generative AI tools are being used to repurpose archival material, experiment with new formats, and expand distribution across online platforms.

In this context, the BBC World Service has launched its first AI-animated video adaptations. The initiative transforms audio episodes of Witness History into short animated films, marking a new application of generative AI within the World Service’s programming.

Five episodes are scheduled for release, starting with The World’s First Labradoodle on the BBC World Service’s YouTube channel. Further adaptations cover Brazil’s largest bank heist, the restoration of Ramesses II’s mummy, the discovery of Lord Sipán in Peru, and an arrest related to football in Brazil.

The project aims to extend the reach of existing audio content and attract digital audiences who may not engage with radio. Editorial oversight remains in place, with AI positioned as a production support tool rather than a replacement for journalistic processes.

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Western Balkans closer to the EU roaming free zone

The European Commission has proposed opening negotiations to bring Albania, Bosnia and Herzegovina, Kosovo, Montenegro, North Macedonia, and Serbia into the EU’s ‘Roam Like at Home’ regime. The move would allow citizens and businesses to use their mobile phones across borders without incurring additional roaming charges, once the necessary agreements are finalised and the rules are aligned.

If implemented, travellers between the EU and the Western Balkans would be able to make calls, send text messages, and use mobile data at domestic rates. This would apply both to Western Balkan visitors in the EU and to the EU citizens travelling in the region, ensuring seamless connectivity without unexpected costs.

The change would make travel for study, work, and tourism more affordable and practical. By removing roaming surcharges, the initiative aims to simplify cross-border communication and strengthen economic and social ties between the two regions.

To move forward, the European Commission has adopted proposals for negotiating mandates and is now seeking authorisation from the European Council to begin formal talks. Once approved, the Commission will negotiate bilateral agreements with each Western Balkan partner. After successful alignment with the EU roaming rules, the countries would join the EU’s roaming area.

The proposal builds on existing voluntary arrangements between some EU and Western Balkan mobile operators, which already offer reduced roaming charges. It also complements the regional roaming agreement within the Western Balkans, where lower tariffs are already in place.

More broadly, the initiative reflects the EU’s gradual integration strategy outlined in the 2023 Growth Plan for the Western Balkans. By progressively extending elements of the EU Single Market to candidate countries, the plan aims to deliver practical benefits to citizens and businesses before full EU membership, while keeping the enlargement process on track.

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EDPS and regulators unite to address misuse of AI imagery across jurisdictions

The European Data Protection Supervisor (EDPS) and authorities from 61 jurisdictions issued a joint statement on AI-generated imagery, warning about tools that create realistic depictions of identifiable individuals without consent. The move underscores concerns over privacy, dignity and child safety.

Authorities said advances in AI image and video tools, especially when integrated into social media platforms, have enabled non-consensual intimate imagery, defamatory depictions, and other harmful content. Children and vulnerable groups are seen as particularly at risk.

The EDPS and the other signatories reminded organisations that AI content-generation systems must comply with applicable data protection and privacy laws. They stressed that creating non-consensual intimate imagery may constitute a criminal offence in many jurisdictions.

Organisations are urged to implement safeguards against misuse of personal data, ensure transparency about system capabilities and uses, and provide accessible mechanisms for swift content removal. Stronger protections and age-appropriate information are expected where children are involved.

Authorities signalled plans for coordinated responses, including enforcement, policy development and education initiatives. The EDPS and fellow signatories urged organisations to engage proactively with regulators and ensure innovation does not undermine fundamental rights.

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