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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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Victorian Liberal Candidate Counselled Over Volunteer Internship Program

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Victorian Liberal Party candidate for Glen Waverley, Jacky Sun, has been counselled by the party following questions over a “volunteer internship program” recruiting international students for political volunteering.

The issue arose at a Mandarin-speaking university student orientation event held in North Melbourne this Saturday. Bilingual posters were distributed promoting a “volunteer internship program” running from August to November. Tasks included door-knocking, letter-dropping and attending campaign fundraising events. Participants were also offered opportunities to meet politicians and obtain reference letters.

The posters did not identify any political party or candidate. However, a Liberal campaign poster featuring Jacky Sun was displayed on the other side of an A-frame sign holding the volunteer posters. One student said that after asking the recruiters, she was told the program was for “the opposition”, would mainly operate in Glen Waverley, and required participants to speak Mandarin.

A Liberal spokesperson did not directly answer whether the program was recruiting volunteers for Jacky Sun or the Liberal Party. The spokesperson said Sun was not present at the event and stressed that “this is not Liberal Party material”. The party also confirmed that Sun had been “counselled” over the matter, but did not explain the specific reason.

The issue also involves Jacky Sun’s wife, scientist Danzi Song. The email address listed on the English poster was associated with “Daisy Song Consulting”, while Danzi Song uses the English name Daisy Song on LinkedIn. However, the ABC could not independently confirm whether the email address belongs to her, and she did not respond to inquiries.

Commentary

The program was promoted as an “internship”, community service opportunity and a chance to receive a reference letter, while also offering access to politicians. However, the posters did not clearly identify which political party or candidate was involved. For international students with limited political experience or knowledge of Victorian politics, this could easily appear to be a general community volunteering opportunity, raising questions about transparency.

More notably, contact details associated with Jacky Sun’s wife appeared on the poster. While there is currently no evidence proving a direct connection between the two, the link itself raises questions about whether the recruitment program was connected to Jacky Sun’s campaign.

For a political candidate, questions surrounding political recruitment, transparency and electoral rules can affect public perception. With the Liberal Party confirming that Sun was counselled but providing no specific explanation, failing to clarify the questions surrounding the program could have a negative impact on his political image.

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Colombia Earthquake Death Toll Rises to 250

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A powerful 7.4-magnitude earthquake struck western Colombia, with the official death toll rising to at least 250. Rescue workers worked through the night searching for survivors in collapsed buildings and rubble, racing against time during the critical rescue window. Authorities warned that the death toll could continue to rise as search and clearance operations continue.

The UN Office for the Coordination of Humanitarian Affairs initially estimated that around 5,000 homes were damaged, with dozens of buildings collapsing and hundreds of other homes sustaining varying degrees of damage, highlighting the severe impact on infrastructure and residential areas.

Rescue operations remain focused on the worst-hit areas, where emergency workers are using heavy machinery and manually clearing rubble in an effort to find survivors who may still be trapped inside buildings. As the extent of the damage in some areas remains under assessment, the full number of casualties and the scale of property losses have yet to be determined.

The international community has also begun providing emergency assistance. The United States announced US$15.5 million in aid to provide temporary shelters and food in affected areas, as well as support damage assessment efforts. The Inter-American Development Bank said it had prepared US$50 million in funding that could be made available for post-earthquake reconstruction if needed.

The local government is currently prioritising search and rescue operations, medical care and temporary accommodation. As further assessments are carried out in affected areas, authorities will gradually determine the overall extent of the destruction caused by the earthquake.

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Australian Police Trial Real-Time AI Facial Recognition

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Western Australia Police have launched Australia’s first public-facing trial of real-time AI facial recognition, using cameras in Perth and Fremantle to scan pedestrians’ faces in real time and compare them against police watchlists, raising concerns over privacy and the expansion of surveillance powers.

Police began using technology company NEC’s NeoFace m40 system in June. In its first week, the system scanned more than 130,000 faces and compared them against a watchlist of around 4,000 people. The list includes people suspected of serious crimes, missing persons, and individuals police believe may pose a risk to themselves or others.

Police said the trial had delivered encouraging initial results, triggering 33 alerts and contributing to 18 arrests. Authorities said real-time facial recognition could help officers identify people of interest more quickly, improving public safety and law enforcement efficiency.

However, privacy experts and legal advocacy groups have questioned how police decide who is placed on the watchlist, how the data is stored, and the risk of misidentification, arguing that there is insufficient transparency. The choice of trial locations has also attracted scrutiny, with concerns that the technology could result in disproportionate surveillance of Indigenous communities.

Unlike “one-to-one” facial recognition, which is used simply to verify an individual’s identity, real-time “one-to-many” systems can scan and compare faces on a large scale in public places.

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