Welcome to In the Spotlight, where each month we shine a light on something exciting, timely, or simply fascinating from the world of science.
This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.
Latest News Releases
Updates every hour. Last Updated: 3-Nov-2026 05:16 ET (3-Nov-2026 10:16 GMT/UTC)
Public health data hangs in the air
University of Tennessee at Knoxville- Journal
- Scientific Reports
AI model uses routine imaging to identify patients at risk for serious treatment-induced lung inflammation
University of Texas M. D. Anderson Cancer CenterPeer-Reviewed Publication
- Journal
- Journal for ImmunoTherapy of Cancer
Leaders in healthcare, biotechnology and AI gather at the 2026 World Medical Innovation Forum, convened by Mass General Brigham
Mass General BrighamMeeting Announcement
More than 250 leaders and CEOs from healthcare, biotechnology, medicine, venture capital, government and technology gathered in Boston for the 2026 World Medical Innovation Forum, convened by Mass General Brigham in collaboration with Bank of America. This year's forum, which drew more than 2,300 attendees, focused on “Innovation at Scale,” highlighting emerging treatments, artificial intelligence, scientific discovery and new approaches to improving patient care.
Dogs segment the speech they hear with a human-like consonant bias
American Association for the Advancement of Science (AAAS)Peer-Reviewed Publication
Dogs, like humans, may favor consonants over vowels when parsing continuous speech, according to a new study comparing brain activity in the two species. The findings suggest that similar ways of processing speech can emerge in humans and dogs without requiring human-like language abilities. Across many human languages, consonants generally provide more useful information for identifying words than vowel sounds. Human infants increasingly rely on consonants to segment continuous speech by around one year of age, shifting away from their initial greater reliance on acoustically prominent vowels. However, it is unknown if this consonant bias is specific to humans and develops as a result of language acquisition, or if it could also emerge in other species exposed to human speech. According to Boglárka Morvai and colleagues, dogs provide a useful model to investigate these questions because, unlike laboratory animals, companion dogs are spoken to daily. They can detect changes in individual sounds and extract words from continuous human speech. Moreover, dogs differ in how much human speech they encounter early in life, making it possible to examine whether early exposure to speech shapes the development of a consonant bias.
In this study, Morvai et al. directly compared electroencephalogram (EEG) responses in the brains of 20 adult humans and 20 companion dogs as they listened to continuous streams of three-syllable nonsense words. The words followed patterns based either on consonants or vowels, while a third set had no consistent word patterns. None of the sounds clearly marked where one word ended and another began. Although the vowels carried more acoustic energy and were therefore more perceptually prominent, the design allowed the authors to test whether humans and dogs preferentially tracked consonant-based word patterns. The authors found that dogs, like humans, tend to rely more on consonants than vowels when identifying word boundaries in speech. Because the vowels in the experiment were acoustically stronger, the preference for consonants cannot simply be attributed to hearing the louder sounds. Instead, consonants may be more useful for detecting patterns that help break continuous speech into words. The bias was also found in dogs with both early and later exposure to human speech, suggesting that extensive early exposure is not necessary and that statistical learning – the ability to recognize recurring patterns – may be enough to produce it. Morvai et al. caution that dogs’ consonant bias may reflect either their history of domestication and exposure to human speech or a broader auditory or cognitive ability that predates domestication.
- Journal
- Science
Learning style predicts survival skills in young orangutans
Max Planck Institute of Animal BehaviorPeer-Reviewed Publication
Orangutans have individual learning styles: over their 8.5-year development, infant orangutans differ from one another in how frequently they engage in social and individual learning. Learning style predicts skill development: infants’ social and individual learning tendencies during development predict how many food items they will have learned by the time they become independent from their mothers. Learning is more than simply “social” or “individual”: the study shows for the first time that social and individual forms of learning interact to shape broad skill acquisition in wild great apes.
- Journal
- Science
Copying mother: The surprising depth of culture shaping young orangutans’ lives
University of St. AndrewsPeer-Reviewed Publication
- Journal
- Science