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Westlake University AI virtual-cell model predicts drug response in triple-negative breast cancer

Researchers at Westlake University built an AI-based 'virtual cell model' trained on over 38 million protein measurements from breast cancer cell lines, most of them triple-negative. Tested on real patient biopsies, the model successfully identified which drugs would be effective against individual tumours, matching actual clinical outcomes. The findings, published in Nature, mark the first time such a virtual cell model has moved from lab experiments to clinical testing.

UN General Assembly votes to replace Mercator map with Equal Earth projection

On September 4, the United Nations General Assembly passed a resolution to phase out the 16th-century Mercator map projection in favor of the Equal Earth projection, which more accurately represents the relative sizes of continents and countries. The Mercator map, created by Gerardus Mercator in 1569, has long been criticized for exaggerating the size of Northern Hemisphere landmasses like Canada and Russia while shrinking equatorial regions such as Africa.

Researchers identify 'superdark' protein resembling a GPCR with atypical signaling behavior

Scientists have discovered a protein, nicknamed 'superdark' for its poorly characterized status, that structurally resembles a G-protein-coupled receptor (GPCR) but does not behave like typical members of this receptor family. The finding suggests the protein may represent an unusual or previously unrecognized branch of GPCR-like signaling molecules.

Study of 1 million people maps genetic links to Big Five personality traits

A large-scale genetic study analyzed data from roughly one million people to identify genetic variants associated with the Big Five personality traits—openness, conscientiousness, extraversion, agreeableness, and neuroticism. The research aimed to uncover the biological underpinnings of personality by pinpointing specific genomic regions correlated with these traits.

Weekly phone-call tutoring restored learning during school closures in five-country trial

A study spanning randomized trials in India, Kenya, Nepal, the Philippines and Uganda found that 20-minute weekly tutoring calls to primary-school children produced substantial learning gains during COVID-19-related school closures. The approach paired widely available mobile phones with tutoring tailored to each child's current skill level, costing about $11 per child, and worked whether delivered by government teachers or NGO staff.

Weekly phone tutoring sessions boost learning during school closures, five-country trial finds

A study led by Oxford researcher Noam Angrist tested a low-cost intervention combining text-message nudges and a weekly 20-minute phone call from a teacher to support children's learning when schools shut down. The randomized trials, involving more than 16,000 households across India, Kenya, Nepal, the Philippines and Uganda during COVID-19 closures, followed an earlier pilot in Botswana and were published in Nature.

Study finds phone-based tutoring curbs learning loss during school closures

A new Nature study by Angrist and colleagues examined how remote phone-based tutoring affected children's learning during periods when schools were shut, such as during the COVID-19 pandemic. The research found strong evidence that this low-tech approach helped students keep learning despite the disruption, offering a rare data-backed solution to an otherwise poorly understood problem.

Nature study shows satellite imagery can complement news-based conflict data

A new Nature paper by Sticher et al. argues that combining satellite imagery with traditional news-coded reports could reveal aspects of armed conflict that text-based monitoring misses. For over 20 years, conflict researchers have relied on coders converting news reports into structured event data, a method with inherent blind spots where reporting is scarce or biased.

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