PDGrapher AI tool aims to speed up precision medicine development

Harvard Medical School researchers have developed an AI tool that could transform drug discovery by identifying multiple drivers of disease and suggesting treatments to restore cells to a healthy state.

The model, called PDGrapher, utilises graph neural networks to map the relationships between genes, proteins, and cellular pathways, thereby predicting the most effective targets for reversing disease. Unlike traditional approaches that focus on a single protein, it considers multiple factors at once.

Trained on datasets of diseased cells before and after treatment, PDGrapher correctly predicted known drug targets and identified new candidates supported by emerging research. The model ranked potential targets up to 35% higher and worked 25 times faster than comparable tools.

Researchers are now applying PDGrapher to complex diseases such as Parkinson’s, Alzheimer’s, and various cancers, where single-target therapies often fail. By identifying combinations of targets, the tool can help overcome drug resistance and expedite treatment design.

Senior author Marinka Zitnik said the ultimate goal is to create a cellular ‘roadmap’ to guide therapy development and enable personalised treatments for patients. After further validation, PDGrapher could become a cornerstone in precision medicine.

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AI challenges how students prepare for exams

Australia’s Year 12 students are the first to complete their final school years with widespread access to AI tools such as ChatGPT.

Educators warn that while the technology can support study, it risks undermining the core skills of independent thinking and writing. In English, the only compulsory subject, critical thinking is now viewed as more essential than ever.

Trials in New South Wales and South Australia use AI programs designed to guide rather than provide answers, but teachers remain concerned about how to verify work and ensure students value their own voices.

Experts argue that exams, such as the VCE English paper in October, highlight the reality that AI cannot sit assessments. Students must still practise planning, drafting and reflecting on ideas, skills which remain central to academic success.

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US and China reach framework deal on TikTok

The United States and China have reached a tentative ‘framework’ deal on the future of TikTok’s American operations, US Treasury Secretary Scott Bessent confirmed during trade talks in Madrid. The agreement, which still requires the approval of Presidents Donald Trump and Xi Jinping, is aimed at resolving a looming deadline that could see the video-sharing app banned in the US unless its Chinese owner ByteDance sells its American division.

US officials say the framework addresses national security concerns by paving the way for US ownership of TikTok’s operations, while China insists any final deal must not undermine its companies’ interests. The Biden administration has long argued that the app’s access to US user data poses significant risks, while ByteDance maintains its American arm operates independently and respects user privacy.

The law mandating a sale or ban, upheld by the Supreme Court earlier this year, is due to take effect on 17 September. Although the framework marks progress, key details remain unresolved, particularly over whether TikTok’s recommendation algorithm and user data will be fully transferred, stored, and protected in the US.

Experts warn that unless strict safeguards are included, the deal may solve ownership issues without closing potential ‘backdoors’ for Beijing. Concerns also remain over how much influence China retains, with negotiators linking TikTok’s fate to wider tariff discussions between the two powers.

If fully implemented, the agreement could represent a breakthrough in both trade relations and tech governance. But with ByteDance among China’s most powerful AI firms, the stakes go far beyond social media, touching on questions of global competition, national security, and digital sovereignty.

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Privacy-preserving AI gets a boost with Google’s VaultGemma model

Google has unveiled VaultGemma, a new large language model built to offer cutting-edge privacy through differential privacy. The 1-billion-parameter model is based on Google’s Gemma architecture and is described as the most powerful differentially private LLM to date.

Differential privacy adds mathematical noise to data, preventing the identification of individuals while still producing accurate overall results. The method has long been used in regulated industries, but has been challenging to apply to large language models without compromising performance.

VaultGemma is designed to eliminate that trade-off. Google states that the model can be trained and deployed with differential privacy enabled, while maintaining comparable stability and efficiency to non-private LLMs.

This breakthrough could have significant implications for developers building privacy-sensitive AI systems, ranging from healthcare and finance to government services. It demonstrates that sensitive data can be protected without sacrificing speed or accuracy.

Google’s research teams say the model will be released with open-source tools to help others adopt privacy-preserving techniques. The move comes amid rising regulatory and public scrutiny over how AI systems handle personal data.

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Hackers use ChatGPT for fake ID attack

A hacking group has reportedly used ChatGPT to generate a fake military ID in a phishing attack targeting South Korea. The incident, uncovered by cybersecurity firm Genians, shows how AI can be misused to make malicious campaigns more convincing.

Researchers said the group, known as Kimsuky, crafted a counterfeit South Korean military identification card to support a phishing email. While the document looked genuine, the email instead contained links to malware designed to extract data from victims’ devices.

Targets included journalists, human rights activists and researchers. Kimsuky has a history of cyber-espionage. US officials previously linked the group to global intelligence-gathering operations.

The findings highlight a wider trend of AI being exploited for cybercrime, from creating fake résumés to planning attacks and developing malware. Genians warned that attackers are rapidly using AI to impersonate trusted organisations, while the full scale of the breach is unknown.

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EdChat AI app set for South Australian schools amid calls for careful use

South Australian public schools will soon gain access to EdChat, a ChatGPT-style app developed by Microsoft in partnership with the state government. Education Minister Blair Boyer said the tool will roll out next term across public high schools following a successful trial.

Safeguards have been built into EdChat to protect student data and alert moderators if students type concerning prompts, such as those related to self-harm or other sensitive topics. Boyer said student mental health was a priority during the design phase.

Teachers report that students use EdChat to clarify instructions, get maths solutions explained, and quiz themselves on exam topics. Adelaide Botanic High School principal Sarah Chambers described it as an ‘education equaliser’ that provides students with access to support throughout the day.

While many educators in Australia welcome the rollout, experts warn against overreliance on AI tools. Toby Walsh of UNSW said students must still learn how to write essays and think critically, while others noted that AI could actually encourage deeper questioning and analysis.

RMIT computing expert Michael Cowling said generative AI can strengthen critical thinking when used for brainstorming and refining ideas. He emphasised that students must learn to critically evaluate AI output and utilise the technology as a tool, rather than a substitute for learning.

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Industry leaders urge careful AI use in research projects

The 2026 Adwanted Media Research Awards will feature a new category for Best Use of AI in Research Projects, reflecting the growing importance of this technology in the industry.

Head judge Denise Turner of IPA said AI should be viewed as a tool to expedite workflows, not replace human insight, emphasising that researchers remain essential to interpreting results and posing the right questions.

Route CEO Euan Mackay said AI enables digital twins, synthetic data, and clean-room integrations, shifting researchers’ roles from survey design to auditing and ensuring data integrity in an AI-driven environment.

OMD’s Laura Rowe highlighted AI’s ability to rapidly process raw data, transcribe qualitative research, and extend insights across strategy and planning — provided ethical oversight remains in place.

ITV’s Neil Mortensen called this the start of a ‘gold rush’, urging the industry to use AI to automate tedious tasks while preserving rigorous methods and enabling more time for deep analysis.

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Rising data centre demand pushes utilities to invest

US electricity prices are rising as the energy demands of data centres surge, driven by the rapid growth of AI technologies. The average retail price per kilowatt-hour increased by 6.5% between May 2024 and May 2025, with some states experiencing significantly sharper increases.

Maine saw the sharpest rise in electricity prices at 36.3%, with Connecticut and Utah following closely behind. Utilities are passing on infrastructure costs, including new transmission lines, to consumers. In Northern Virginia, residents could face monthly bill increases of up to $37 by 2040.

Analysts warn that the shift to generative AI will lead to a 160% surge in energy use at data centres by 2030. Water use is also rising sharply, as Google reported its facilities consumed around 6 billion gallons in 2024 alone, amid intensifying global AI competition.

Tech giants are turning to alternative energy to keep pace. Google has announced plans to power data centres with small nuclear reactors through a partnership with Kairos Power, while Microsoft and Amazon are ramping up nuclear investments to secure long-term supply.

President Donald Trump has pledged more than $92 billion in AI and energy infrastructure investments, underlining Washington’s push to ensure the US remains competitive in the AI race despite mounting strain on the grid and water resources.

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EDPB adopts guidelines on the interplay between DSA and GDPR

The European Data Protection Board (EDPB) has adopted its first guidelines on how the Digital Services Act (DSA) and the General Data Protection Regulation (GDPR) work together. The aim is to understand how GDPR should be applied in the context of DSA.

Presented during the EDPB’s September plenary, the guidelines ensure consistent interpretation where the DSA involves personal data processing by online intermediaries like search engines and platforms. While enforcement of DSA falls under authorities’ discretion, the EDPB’s input supports harmonised application across the EU’s evolving digital regulatory framework, including:

  • Notice-and-action systems that help individuals or entities report illegal content,
  • Recommender systems used by online platforms to automatically present specific content to the users of the platform with a particular relative order or prominence,
  • The provisions to ensure minors’ privacy, safety, and security and prohibit profile-based advertising using their data are presented to them.
  • transparency of advertising by online platforms, and
  • Prohibition of profiling-based advertising using special categories of data.

Following initial guidelines on the GDPR and DSA, the EDPB is now working with the European Commission on joint guidelines covering the interplay between the Digital Markets Act (DMA) and GDPR, as well as between the upcoming AI Act and the EU data protection laws. The aim is to ensure consistency and coherent safeguards across the evolving regulatory landscape.

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France pushes for nighttime social media curfews for teens

French lawmakers are calling for stricter regulations on teen social media use, including mandatory nighttime curfews, following a parliamentary report examining TikTok’s psychological impact on minors.

The 324-page report, published Thursday by a National Assembly Inquiry Commission, proposes that social media accounts for 15- to 18-year-olds be automatically disabled between 10 p.m. and 8 a.m. to help combat mental health issues.

The report contains 43 recommendations, including greater funding for youth mental health services, awareness campaigns in schools, and a national ban on social media access for those under 15. Platforms with algorithmic recommendation systems, like TikTok, are specifically targeted.

Arthur Delaporte, the lead rapporteur and a socialist MP, also announced plans to refer TikTok to the Paris Public Prosecutor, accusing the platform of knowingly exposing minors to harmful content.

The report follows a December 2024 lawsuit filed by seven families who claim TikTok’s content contributed to their children’s suicides.

TikTok rejected the accusations, calling the report “misleading” and highlighting its safety features for minors.

The report urges France not to wait for EU-level legislation and instead to lead on national regulation. President Emmanuel Macron previously demanded an EU-wide ban on social media for under-15s.

However, the European Commission has said cultural differences make such a bloc-wide approach unfeasible.

Looking ahead, the report supports stronger obligations in the upcoming Digital Fairness Act, such as giving users greater control over content feeds and limiting algorithmic manipulation.

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