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AI Develops New Drugs for “Intractable” Diseases Like Parkinson’s

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Artificial intelligence (AI) is ushering in a new era of drug discovery, delivering breakthrough progress for diseases once deemed “untreatable.” BBC reports indicate that Insilico Medicine, MIT, and multiple international research teams are leveraging AI to accelerate new drug discovery across fields including Parkinson’s disease, drug-resistant bacteria, and rare diseases.

In the fight against antibiotic-resistant bacteria, MIT medical engineering professor James Collins and his team employed generative AI to screen over 45 million compounds targeting gonorrhea bacteria and methicillin-resistant Staphylococcus aureus (MRSA). Ultimately, they synthesized 24 candidate compounds, seven of which demonstrated antibacterial activity, with two showing significant efficacy against highly resistant strains. These compounds attack bacteria differently than traditional antibiotics, potentially bypassing resistance defenses and offering new drug candidates.

For Parkinson’s research, Cambridge University biophysicist Michele Venderuscololo employed AI to analyze misfolded proteins called Lewy bodies, identifying small-molecule drugs that could halt neurodegeneration. AI rapidly narrowed the candidate molecule pool and accurately predicted binding potential with target proteins, identifying five novel compounds with clinical promise.

Additionally, AI is advancing repurposing strategies by using machine learning to match approved drugs with rare diseases, uncovering novel treatment pathways for patients. Research teams from Harvard Medical School and Canada’s McGill University also employed AI to identify potential drugs for idiopathic pulmonary fibrosis (IPF) and other rare diseases, achieving preliminary clinical trial results—such as Ensilio Intelligence’s “Rentosertib” demonstrating efficacy in Phase II trials.

Commentary:

This undoubtedly represents a major breakthrough in medical research, demonstrating how artificial intelligence can accelerate new drug development at unprecedented speeds, opening new avenues for diseases once considered “untreatable.”

However, AI still has limitations. The journey from drug discovery to final treatment remains lengthy and fraught with challenges. The efficacy and safety of drugs in humans, along with regulatory approvals, still require rigorous oversight by scientists and medical professionals—areas where AI cannot fully replace human expertise.

While AI is not omnipotent, its capabilities in rapid screening, prediction, and innovation have already demonstrated revolutionary potential for future healthcare. In the near term, AI holds promise for aiding patients with rare diseases, drug-resistant conditions, and previously untreatable illnesses, bringing new hope to medicine and helping more patients in need.

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Berlin conference raises over £1bn in aid for Sudan humanitarian crisis

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As Sudan’s humanitarian crisis continues to worsen, international donors at a recent aid conference in Berlin pledged more than £1 billion in funding, exceeding the target set by organisers in an effort to ease what the United Nations has described as one of the world’s largest humanitarian disasters.

German Foreign Minister Johann Wadephul said the outcome was a rare positive development at a time of shrinking global humanitarian resources, and expressed gratitude to donor countries. However, he also stressed that financial assistance cannot replace peace itself.

Sudan is currently engulfed in a civil war between the national army and the paramilitary Rapid Support Forces (RSF), a conflict that has lasted nearly three years. The fighting has caused massive civilian casualties and widespread displacement, with around two-thirds of the population—approximately 34 million people—requiring humanitarian assistance. Yet only around 16% of this year’s humanitarian funding needs have been met, leaving a significant shortfall. The UN has also warned of ongoing allegations of serious crimes, including sexual violence against women and girls and widespread destruction of communities.

Despite increased funding pledges, prospects for peace remain distant. Neither the Sudanese army nor the RSF sent representatives to the Berlin conference, and ceasefire negotiations have seen no meaningful progress. Sudan’s foreign ministry also criticised Western countries for failing to consult it, accusing the meeting of reflecting a “colonial approach to governance.”

Commentary:

Although the Berlin conference successfully secured over £1 billion in aid, offering a temporary reprieve to Sudan’s worsening humanitarian crisis, funding alone cannot resolve the underlying conflict. The absence of both warring parties from the talks highlights a lack of political will to negotiate or find a solution at this stage.

As long as fighting continues, weapons keep flowing, and external actors persist in supporting rival sides, international aid will merely prolong the crisis rather than end it. Humanitarian assistance is essential, but without political commitment and a functioning ceasefire mechanism, the situation is likely to deteriorate further in cycles of repeated conflict.

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Vietnam visit to China strengthens bilateral strategic cooperation

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Vietnamese President and Communist Party General Secretary To Lam paid a state visit to China from April 14 to 17, where he met with Chinese President Xi Jinping. The trip is widely seen as To Lam’s first overseas visit since taking office for a second term. China accorded the visit high-level protocol, with both sides emphasising the need to deepen strategic cooperation amid US tariff policies and intensifying global geopolitical competition.

During the talks, Xi Jinping called for opposition to “unilateralism” and “protectionism,” and urged efforts to stabilise industrial and supply chains while strengthening cooperation in areas such as artificial intelligence, semiconductors, and infrastructure. To Lam, in turn, proposed expanding trade and investment cooperation, improving market connectivity and infrastructure interconnection, and promoting more balanced trade development. The two sides also announced the launch of a “China–Vietnam Tourism Cooperation Year” and signed 17 cooperation documents covering trade, digitalisation, vocational education, and quarantine measures.

During the visit, To Lam took multiple trips on China’s high-speed rail network between Beijing, Xiong’an, and Nanning, drawing public attention and being interpreted as an opportunity to observe China’s infrastructure development and gain experience for Vietnam’s own high-speed rail plans. Chinese state media also highlighted the trips as a symbol of deepening connectivity cooperation between the two countries.

Commentary:

Against the backdrop of escalating tariff policies under Donald Trump and growing uncertainty in global trade, this meeting not only focused on supply chain cooperation, infrastructure connectivity, and technological alignment, but also continued the long-standing “communist camaraderie” rooted in party-to-party relations.

For China, the visit represents an important step in strengthening neighbourhood diplomacy and stabilising supply chains. For Vietnam, it reflects a search for more stable economic support and investment sources amid rising US tariff pressures and global trade uncertainty.

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Australia may see aged care AI boom

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Australia’s aged care sector is gradually moving toward a wave of artificial intelligence (AI) adoption. AI-powered companion robots, personal behaviour monitoring systems, and pain management applications are increasingly being introduced into aged care and retirement care services.

While the United States and some Southeast Asian countries have already adopted these technologies more widely, Australia is still in the early trial stage. The federal government is currently running a five-year plan to examine how AI can be safely and effectively integrated into aged care services, as well as to develop an appropriate regulatory framework.

AI is already being used in healthcare and care settings in limited ways, such as assisting with documentation, multilingual communication, and clinical assessments. These applications are helping improve frontline efficiency and allowing care workers to spend more time interacting with elderly residents. In addition, some providers are using AI systems linked with monitoring devices to detect fall risks or unusual behavioural patterns.

On the social side, AI robots are also being deployed as companions to help reduce loneliness among older people. Robots capable of conversation, singing, and leading exercise sessions are already in use in some care facilities. However, researchers note that there is still insufficient evidence to confirm whether AI can effectively reduce loneliness in the long term.

Commentary:

From improving care efficiency and easing workforce shortages to experimenting with robotic companionship to combat loneliness, AI appears to offer a seemingly practical solution to the long-term pressures facing the aged care system.

However, care is not merely a functional service but also involves emotional connection and human relationships. If AI becomes embedded in the daily lives of older people, or even becomes a source of emotional dependence, its broader implications cannot be ignored. As such, alongside technological adoption, governments and industry must establish clear regulatory standards and ethical boundaries to ensure AI is not seen as a replacement for human care, but rather as a supportive tool within the system.

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