AI News Archive: September 2, 2026 — Part 15
Sourced from 500+ daily AI sources, scored by relevance.
- The accuracy of urine-based mycobacterial antigens to detect childhood tuberculosis using an ultrasensitive immunoassay
Background. Urine-based testing offers a promising non-sputum approach for diagnosing paediatric tuberculosis. However, the currently available lipoarabinomannan (LAM) assay shows limited sensitivity in children and is primarily indicated for those living with HIV. Co-detection of LAM with Mycobacterium tuberculosis (Mtb) proteins in urine could provide complementary pathogen-derived biomarkers that improve diagnostic performance. Methods. We developed an ultrasensitive multiplex electrochemiluminescence (ECL) immunoassay to measure Ag85B, CFP-10, ESAT-6, MPT32, and MPT64 in urine. We determined the analytical limits of detection and evaluated the diagnostic performance of individual proteins and LAM using urine samples from children with Confirmed, Unconfirmed, and Unlikely pulmonary tuberculosis enrolled across five high-burden countries (The Gambia, India, Peru, South Africa, and Uganda). Performance was assessed overall, by HIV and nutritional status, and across biomarker combinations. Findings. Urine samples from 630 children were analysed (median age was 4 years [IQR 2-8]; 44% female, 15% living with HIV, 19% underweight, 24% with Confirmed tuberculosis). The ECL assay achieved femtomolar limits of detection (1.5 to 4.0 fM). The sensitivity and specificity of individual Mtb proteins were 12-33% and 98-100%, respectively. Ag85B had the highest sensitivity (33%, 95% CI 26-41) for Confirmed tuberculosis and was similar to LAM. A four-antigen signature (Ag85B, MPT64, MPT32, LAM) was 50% sensitive (95% CI 42-58) and 94% specific (95% CI 90-96), and was significantly more sensitive than LAM alone, in particular among those without HIV. An additional sixteen (10%) of children with Unconfirmed TB had at least one Mtb protein or LAM detected. Interpretation. Multiple Mtb proteins are detectable in paediatric urine with high specificity, and multi-antigen signatures can augment sensitivity versus LAM alone. These findings demonstrate the potential of multi-antigen urine detection for childhood TB and define analytical targets for the development of future point-of-care diagnostics. Funding. National Institutes of Health.
- Social Determinants of Health in HIV/HBV Coinfection Compared with HIV and HBV Monoinfection: A Framework for Dynamic Social Vulnerability
Human immunodeficiency virus (HIV) and hepatitis B virus (HBV) coinfection is associated with accelerated liver disease, but whether coinfection is associated with newly documented social determinants of health (SDoH) is unclear. We conducted a retrospective cohort study using TriNetX across 110 U.S. healthcare organizations (2010-2026). We propensity score matched adults with HIV/HBV to adults with HIV or HBV monoinfection. We organized newly documented SDoH indicators using a dynamic individual-level framework with four clinically recognized domains of social disadvantage: material vulnerability, healthcare access and engagement, interpersonal adversity, and psychosocial vulnerability. Matched cohorts included 10,071 HIV/HBV-HIV pairs and 9,659 HIV/HBV-HBV pairs (mean age, 47 years; 79% male; 66% non-White; median follow-up, 3.3 years). Over 178,900 person-years, HIV/HBV was associated with higher risk of the primary SDoH composite compared with HIV (11.5% vs 9.7%; incidence rate, 2.50 vs 1.97 per 100 person-years; hazard ratio [HR], 1.25; 95% confidence interval [CI], 1.15-1.37) and HBV (11.0% vs 6.4%; incidence rate, 2.39 vs 1.67; HR, 1.50; 95% CI, 1.35-1.67). HIV/HBV was also associated with higher material vulnerability and healthcare access and engagement composites in both comparisons, including housing instability, food insecurity, financial insecurity, insurance instability, and care disengagement/nonadherence (HR range, 1.22-3.33 vs HIV; 1.31-1.94 vs HBV). In the HBV comparison, HIV/HBV was additionally associated with interpersonal adversity, primary support stressors, and violence or victimization (HR range, 1.36-2.16). Findings were robust across sensitivity analyses. HIV/HBV was associated with more newly documented SDoH than monoinfection, supporting dynamic SDoH assessment.
- Evaluating Mean Platelet Volume in relation to Disease Severity in Paediatric Sickle Cell Anaemia: A Cross-Sectional Study in Kwara State, North-Central Nigeria
Background: Sickle cell anaemia (SCA) is characterised by chronic haemolysis, inflammation, platelet activation, and recurrent vaso-occlusive complications. Mean platelet volume (MPV) is a readily available platelet index, but evidence regarding its relationship with disease severity in paediatric SCA remains limited and inconsistent, particularly in African populations. Objective: To evaluate the relationship between MPV and disease severity among children with SCA in Kwara State, North-Central Nigeria. Methods: This hospital-based cross-sectional study included 51 clinically stable children with confirmed SCA consecutively recruited from the paediatric haematology clinic of Children Emergency Specialist Hospital, Ilorin. Complete blood count, including MPV, was performed using a Rayto RT-7600 automated haematology analyser. Disease severity was assessed using a composite clinical and laboratory scoring system based on a previously described method. Pearson's correlation, Spearman's rank correlation, simple linear regression, and the Kruskal-Wallis test were used as appropriate. Statistical significance was set at p < 0.05. Results: Of 51 participants, 14 (27.5%) had mild, 33 (64.7%) moderate, and 4 (7.8%) severe disease. Mean MPV was 9.34 +/- 0.76 fL (range, 8.0-11.2). Pearson's correlation showed a weak positive, non-significant linear relationship with severity score (r = 0.231, p = 0.103), whereas Spearman's analysis showed a weak positive monotonic association (rho = 0.286, p = 0.042). Regression explained 5.3% of severity-score variation (R2 = 0.053, p = 0.103). MPV did not differ significantly across severity categories (H = 2.163, p = 0.339). MPV correlated inversely with haemoglobin (r = -0.556, p < 0.001) and positively with platelet count (r = 0.307, p = 0.029). Conclusion: MPV showed a weak relationship with disease severity but inconsistent statistical evidence across analyses. The limited explained variance and absence of significant differences between severity categories do not support MPV as a standalone severity marker. Larger longitudinal studies are warranted. Keywords: Sickle cell anaemia; Mean platelet volume; Disease severity; Platelet indices; Paediatric haematology; Cross-sectional study; Nigeria.
- Optimizing Aqueous Humor Liquid Biopsy: Safety and Performance of a Short, Low-Dead-Space Ophthalmic Needle for Anterior Chamber Paracentesis
Purpose: To evaluate the safety, procedural performance, sample recovery, and surgeon preference of an ophthalmic needle designed specifically for anterior chamber (AC) paracentesis. Methods: In this multicenter study, AC paracentesis was performed in clinic and operating-room settings using a 32-gauge x 4-mm needle with low dead space. The procedure was evaluated using a standardized physician survey. Prespecified outcomes included procedure-related adverse events (primary outcome), needle entry and handling, aspiration and sample recovery, comparative performance versus a 30-gauge needle, and physician preference for future use. Results: A total of 110 needle uses by eight surgeons were included. No ocular complications occurred, including lens or iris injury, hyphema, AC collapse, wound leak, hypotony, infection, or retinal complication, and no procedure required needle exchange or conversion to another device. Two technical events without ocular sequelae were noted, in which needle entry was partial thickness and did not reach the AC (1.8%; exact 95% CI, 0.2%-6.4%). Physicians rated needle entry, handling and sample recovery as good or excellent. Compared with a 30-gauge needle, the study needle was rated as at least comparable across all assessed domains. All surgeons rated it better or much better for intra-procedural safety and preferred it for future AC taps. Conclusions and Relevance: This short, 32-gauge low-dead-space ophthalmic needle demonstrated a favorable safety profile and was preferred over a 30-gauge needle by all surgeons. As aqueous humor liquid biopsy expands in clinical diagnostics and trials, an ophthalmic-specific needle design may help improve the consistency and safety of aqueous humor collection for molecular analysis and broader clinical use. Keywords: Anterior chamber paracentesis; Aqueous humor; Liquid biopsy; Low dead space; Ophthalmic needle
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- Evaluation of the Efficacy and Safety of Combination Therapy of Vamha and Myrha in the Management of PMOS: An Open-Label, Randomized, Multicentre, Comparative, Prospective Clinical Study
Introduction: Polyendocrine metabolic ovarian syndrome (PMOS), formerly known as polycystic ovary syndrome (PCOS), is a common endocrine disorder affecting women of reproductive age. Besides reproductive and metabolic disturbances, PMOS negatively impacts psychological well-being and quality of life. Despite available treatment options, there remains a need for safe and effective therapies that improve both clinical symptoms and fertility outcomes. Aim: To compare the efficacy of VAMHA and MYRHA tablet combination therapy with standard non-hormonal therapy in restoring regular menstruation. Secondary objectives included assessment of ovulation, menstrual symptoms, polycystic ovarian morphology, hormonal and metabolic parameters, anthropometric measures, and skin manifestations. Study Design: Open-label, randomized, multicentre, prospective comparative clinical study. Methods: Seventy-one women with PMOS were randomized to Group A (n=37) or Group B (n=34). Group A received VAMHA and MYRHA tablets (2 tablets each), while Group B received Metformin 500 mg plus Myoinositol 600 mg (1 tablet), twice daily for 180 days. Data were recorded in Case Report Forms. Statistical Analysis: Continuous variables were summarized using mean and standard deviation, while categorical variables were expressed as frequencies and percentages. Appropriate statistical tests, including Chi-square, were used. A p-value [≤]0.05 was considered significant. Results: Significantly more participants in Group A achieved regular menstrual cycles than Group B (31 vs. 22; p<0.05). Ovulation occurred in 16 participants in Group A compared with 6 in Group B (p<0.05). Both groups showed significant improvement in menstrual irregularity and related symptoms. Significant reductions in Anti-Mullerian Hormone (AMH), fasting insulin, and body mass index (BMI) were observed in both groups (p<0.05). Resolution of polycystic ovarian morphology occurred in 13 participants (38.23%) in Group A and 10 (33.33%) in Group B. Both treatments were well tolerated with no major safety concerns. Conclusions: VAMHA and MYRHA combination therapy was superior to standard non-hormonal therapy in improving menstrual regularity and ovulation. It also produced favourable metabolic, hormonal, and ultrasonographic outcomes, suggesting its potential as a safe and effective option for comprehensive PMOS management and fertility enhancement.
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- Ankon AI
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- Uber beats Waymo as first to launch robotaxis in London
The cars have no lidar and no geofence, but still will have human safety drivers for the initial launch.
- Lords considers government emergency AI kill switch
An amendment to the UK’s Cyber Security and Resilience Bill, currently passing through the House of Lords, proposes giving the government “last resort” powers to shut down large artificial intelligence (AI) systems in an emergency. The amendment proposed by Lib Dem peer Tim Clement-Jones will give the government powers to shut down datacentres or AI systems if they pose a threat to national security, public safety or critical infrastructure. The proposal, which is co-sponsored by Conservative peer Dido Harding , crossbencher Beeban Kidron , and Labour’s Philip Hunt , is backed by ControlAI, a non-profit organisation. An attempt by Labour and Co-operative MP for Leeds and Headingley Alex Sobel to introduce a similar amendment in the Commons in May, also backed by ControlAI, was unsuccessful. However, concerns have grown in recent months, following a series of incidents in which frontier AI models have broken free of controlled environments to conduct hacking operations. AI goes rogue In July, in what is believed to be the first recorded attack driven entirely by an autonomous AI system, a group of 700 AI agents created by OpenAI hacked into the open source platform Hugging Face , accessing databases and credentials, before it was stopped. An independent investigation found that AI agents had exchanged tens of thousands of messages on an “unsanctioned message board” looking for ways to cheat after being tasked to find exploits. Just over a week later, AI company Anthropic found that some of its own Claude AI models had accessed the internet and hacked into the systems of three organisations. In August, Meta reported that one of its AI models hacked another company during cyber security testing. OpenAI described the Hugging Face incident as a warning shot . “Without proper safeguards, highly capable AI agents are now able to work around technical controls, collaborate through unapproved channels, and take dangerous actions that no human directed,” it added. Last week, more than 100 companies , including large tech firms, signed an open letter urging an acceleration of cyber defences, with AI-enabled cyber attacks set to become more widespread and sophisticated within months. Catastrophic risk The amendment will give the secretary of state the ability to intervene if an AI system poses a “catastrophic risk”, including large-scale disruption to critical infrastructure and services, significant degradation of the UK’s national security, defence or intelligence capabilities, or severe risks to people. It will also give the government powers to require datacentre operators that are used for training or deploying AI systems to install technical infrastructure required for a kill switch, and to provide secure communication channels with government. They will be required to conduct exercises to ensure the kill switch is working. Separately, Alex Sobel MP plans to introduce a bill on 8 September, also backed by ControlAI, to prohibit the development of superintelligent AI, which cannot be controlled by humans. The UK Artificial Intelligence Security Bill will require the UK government to secure an international agreement to prevent the development of superintelligent AI worldwide. AI risks no longer ‘science fiction’ Clement-Jones said that the UK could not afford to treat catastrophic failure or rogue behaviour of AI systems as science fiction. “As the race to build ever more powerful AI accelerates, human control, independent judicial oversight and democratic accountability must remain non-negotiable. Security by design is not enough on its own — we need a sovereign, legally bounded safety valve of last resort,” he added. Zac Goldsmith, a supporter of the amendment, said the powers introduced by the amendment should be “an absolute baseline”, adding: “I would urge the government to take further action and lead an international agreement prohibiting the development of superintelligent AI until we can guarantee that we could control it, given experts warn it could lead to our extinction.” Dido Harding, amendment co-sponsor, said that cyber attacks perpetrated by autonomous AI systems are now a real threat: “Having a kill switch to prevent AI catastrophes should be considered a bare minimum protection. The powers conferred by this amendment are not just nice to have; they are fundamental in safeguarding our national security.” US law proposed In July, US lawmakers proposed legislation that would force developers of powerful artificial intelligence (AI) systems to maintain the technical capability to throttle, suspend or shut down errant AI models altogether. The AI Kill Switch Act would also allow the secretary of the Department of Homeland Security (DHS), in consultation with the secretary of commerce and the director of national intelligence, to order a slowdown or shutdown of an AI system that “can cause catastrophic harm”. Under the proposed House of Lords amendment, the secretary of state will be mandated to produce reports every six months on the causes of AI security and operation emergencies, including assessments of adversarial uses of AI systems by state and non-state actors. The government will also be required to report back on the development of AI systems that can autonomously compromise national security, escape human oversight or threaten international security.
- Decispher Memory
Memory for coding agents that learns how your team works
- Replyt
Turn Reddit conversations into customers with AI agents
- Uber and Wayve Launch London’s First Public Robotaxi Service
The rides will take place in the Ford Mustang Mach-E. Initially, a safety operator will remain in the driver’s seat.
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- OpenAI’s new reasoning technique alarms AI safety experts
OpenAI’s new Astra model will use “recurrent depth,” a technique that allows the model to operate outside of the sequential thinking that characterizes most reasoning models.
- OpenAI Technique in ‘Astra’ Model Sparks Security Concerns
OpenAI Technique in ‘Astra’ Model Sparks Security Concerns theinformation.com
- OpenAI Technique in ‘Astra’ Model Sparks Security Concerns, SpaceX Shakes Up Data Center Leadership
OpenAI Technique in ‘Astra’ Model Sparks Security Concerns, SpaceX Shakes Up Data Center Leadership theinformation.com
- OpenAI Teases Astra, Says It Is the First Model to Meet ‘Critical Cybersecurity Threshold'
OpenAI published a blog post on Tuesday detailing its new model Astra. The company says that Astra meets the Critical cybersecurity capability threshold under our Preparedness Framework. It is claimed to be capable of spotting previously unknown security flaws and developing ways to exploit them across many well-protected systems without human intervention. Astra will...
- OpenAI says upcoming Astra model requires stronger safety guardrails
The model, called Astra, can spot more security vulnerabilities than the most advanced OpenAI model publicly available today
- OpenAI says upcoming model is so capable it requires stronger guardrails
OpenAI says upcoming model is so capable it requires stronger guardrails
- OpenAI calls Astra its most dangerous model yet - watching what it does is only getting harder
OpenAI is officially rating its upcoming Astra model as the first system with "critical" cyber capabilities. The company plans to keep it in check by monitoring the chain of thought. Problem is, that monitoring already counts as an unreliable mirror of a model's real decisions, and according to a report, Astra's new architecture pushes even more of its thinking into the unreadable. So the safety net might be getting weaker just as the capabilities jump. The article OpenAI calls Astra its most dangerous model yet - watching what it does is only getting harder appeared first on The Decoder .
- OpenAI Astra arrives soon, and the company is already promoting its critical risks
OpenAI confirmed that its unreleased Astra model has reached a dangerous new milestone, even as it preps the model for public release.
- OpenAI to launch new model with 'stronger safeguards' after hack
ChatGPT maker OpenAI said Tuesday it was preparing to release its newest powerful model, known as Astra, after implementing "stronger safeguards" following a rogue cyberattack involving a different AI model.
- US government sides with OpenAI on issue of training LLMs on copyrighted material
"The United States has a strong interest in continuing to develop a robust and competitive artificial intelligence industry that sets the standard for the practice and procedure of AI use globally," the brief reads.
- Trump Administration Sides With OpenAI in New York Times Copyright Lawsuit
The US government wrote a letter in support of OpenAI’s argument that training AI on others' intellectual property is fair use.
- US government backs OpenAI in New York Times copyright case
US government backs OpenAI in New York Times copyright case reuters.com
- Justice Dept. Sides With OpenAI in New York Times Copyright Suit
The department argued in a court filing that OpenAI legally used articles by The New York Times to develop A.I., adding that national security depended on American tech dominance.
- Trump Administration Sides with OpenAI In Legal Battle with New York Times
Trump Administration Sides with OpenAI In Legal Battle with New York Times theinformation.com
- Trump administration sides with OpenAI in lawsuit against New York Times
The Times and many companies are accusing OpenAI of misusing their material to train AI systems without compensation The Trump administration is supporting OpenAI in a lawsuit against the New York Times, arguing in favor of the use of copyrighted writing to train artificial intelligence. The Times accuses OpenAI and its largest financial backer, Microsoft, of using millions of newspaper articles without permission to train OpenAI’s popular chatbot. Other newspapers have joined in the suit, first filed in 2023. Continue reading...
- Trump administration backs OpenAI in New York Times copyright battle
US urges court to reject newspaper’s claim that it is illegal to train AI models on copyrighted content
- Trump backs OpenAI in copyright battle with New York Times
Trump backs OpenAI in copyright battle with New York Times The Telegraph
- US Department of Justice backs fair use for AI training in landmark copyright case
In the class-action lawsuit involving The New York Times, the US Department of Justice argues that training AI models on copyrighted text qualifies as fair use. The filing directly contradicts a report from the US Copyright Office. Its director was fired by the Trump administration shortly after the report was published. The article US Department of Justice backs fair use for AI training in landmark copyright case appeared first on The Decoder .
- Trump Administration Sides With OpenAI in Publishers’ Copyright Lawsuits
The federal government says making AI companies pay for content used to train their models would undermine national security.
- The Trump administration is supporting OpenAI in the NYT copyright lawsuit
Letting models train on copyrighted work will preserve ‘American prosperity,’ it says.
- PSA: Amazon’s shopping AI can now tell you if that message is a scam
Amazon is adding a scam-detection feature to Alexa for Shopping that can verify whether suspicious emails, texts, and other messages actually came from the retailer.
- Alexa can now spot fake messages from scammers pretending to be Amazon
Amazon launched a new Alexa for Shopping feature that verifies whether messages, emails, texts, or calls actually came from the company.
- Gemini 3.8 Flash is Google's third budget model in six weeks while frontier models remain MIA
Google's Gemini 3.8 Flash, the third Flash model in six weeks, matches Claude Opus 5 on some agentic coding benchmarks at lower cost. But its "working harder" reasoning burns about 30 percent more output tokens per task, making it pricier in practice than its predecessor despite identical token rates. The article Gemini 3.8 Flash is Google's third budget model in six weeks while frontier models remain MIA appeared first on The Decoder .
- Why did your robotaxi stop? New system helps predict self-driving car mistakes
Self-driving cars are often controlled by deep learning models that sometimes fail in unexpected situations. For instance, the car might inexplicably brake and block the path of an oncoming emergency vehicle. A human driver or passenger may need to react rapidly to prevent a collision.
- Snowflake Jumps on Revenue Outlook, Uptake of AI Assistant
Snowflake Inc. shares jumped by the most in three months after the company raised its outlook for annual sales, topping analysts’ estimates, and touted rapid adoption of its AI-assisted coding tool.
- Snowflake lifts annual revenue forecast on cloud and AI demand, shares soar
Snowflake lifts annual revenue forecast on cloud and AI demand, shares soar reuters.com
- Snowflake Raises Annual Sales Forecast as AI Coding Adoption Grows
Snowflake Raises Annual Sales Forecast as AI Coding Adoption Grows theinformation.com
- Mamdani imposes one-year ban on AI for most NYC students
Mamdani imposes one-year ban on AI for most NYC students reuters.com
- Mamdani Expels AI From the Classroom for 600,000 Students
Mamdani Expels AI From the Classroom for 600,000 Students Business Insider
- New York City to ban student AI use in public schools until high school
Teachers and parents have warned against AI use in schools over concerns of ‘cognitive surrender’ New York City will ban students’ use of artificial intelligence in public schools through eighth grade, typically age 13 or 14. The prohibition is scheduled to be announced on Wednesday and will go into effect next week. The change is part of a sweeping overhaul of the use of technology in the US’s largest school district, which enrolls roughly 900,000 students a year. In another policy shift, classrooms will keep students off laptops or tablets through the third grade, age nine or 10. The city’s public school technology policies are closely watched by the rest of the United States. Continue reading...
- Mamdanis AI ban may not be enough to protect NYC students
NYC just announced some of the strictest regulations on AI among schools nationwide. Advocates say it still isn't enough to solve the growing problem.
- New York Restricts AI in Elementary and Middle Schools. Will Other Districts Follow?
The restrictions in the nation's largest school system will focus on age-based screen-time and AI.
- NYC, the nation's largest school district, bans AI for students through 8th grade
New York City’s public school system will ban artificial intelligence for students through the 8th grade during the upcoming school year
- Mamdani announces ban on AI for young students in NYC public schools
New York City Mayor Zohran Mamdani announced a one-year ban on artificial intelligence for students from 2-K through 8th grade in public schools. NBC News' Tyler Kingkade reports.
- Mamdani bans generative AI for students until 9th grade in nation's largest school district
Mayor Zohran Mamdani announced a one-year moratorium on generative AI for NYC public school students below 9th grade as part of a new school policy.
- Uber and Wayve to Start Testing Robotaxis in London
Uber and the British start-up Wayve are the latest to start testing autonomous cars in one of the world’s largest markets for ride-hailing services.