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Van Gogh’s The Starry Night sky matches that of a date in July 1889, suggests study

Vincent Van Gogh’s The Starry Night sky matches that of a date in July 1889, according to new research. The iconic painting has conventionally been dated from a letter the artist wrote to his brother, Theo, around June 18 that year. But experts say the waning gibbous moon of that period can’t account for the slender crescent in the painting. A new study, published in the journal Scientific Reports, finds that the sky in the painting matches, in both observation and shape, the pre-dawn sky over Van Gogh’s then home in Saint-Rémy, France, around July 22, 1889. It featured a waning crescent moon, Venus and the Hyades star cluster – all within the painter’s field of view, according to the first astronomical re-examination of the painting in four decades. The study was conducted jointly by space-science company SLLAB and the School of Space Research at Kyung Hee University in South Korea.…

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ESMO 2026: NUBEQA® (darolutamide) Plus ADT and Radiation Therapy Reduces Risk of Metastasis or Death by 58% in Prostate Cancer Patients at High Risk of Recurrence

Interim analysis results from the Phase III DASL-HiCaP trial show a statistically significant 58% reduction in the risk of metastasis or death with NUBEQA® (darolutamide) versus placebo in addition to androgen deprivation therapy (ADT) and radiation therapy (hazard ratio [HR] 0.42; 95% CI: 0.27–0.66; p=0.0001) Four-year metastasis-free survival rate in trial reached 95% with NUBEQA compared to 88% with placebo, alongside secondary endpoint improvements and a safety profile consistent with previous studies Results will be presented as a late-breaking abstract in a Presidential Symposium at the European Society for Medical Oncology (ESMO) Congress 2026 NUBEQA is indicated in the U.S. for the treatment of adult patients with metastatic castration-sensitive prostate cancer (mCSPC) both with and without docetaxel, and for the treatment of adult patients with non-metastatic…

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Does hearing laughter help orangutans learn?

Some of the Cartmill lab’s work takes place at the Indianapolis Zoo. IU Ph.D. student Emma Nelson, above, conducted part of the laughter research on one of the zoo’s orangutans while completing a research internship there. (Courtesy of Indianapolis Zoo via SWNS) Hearing laughter helps orangutans to learn, reveals new research. Being in a positive mood leads the primates to value what they learned more strongly, according to the findings. Scientists have long acknowledged that in humans, positive moods enhance learning and make experiences more memorable. But the evolutionary origins of the trait hadn’t previously been studied in other great ape species. Researchers at Indiana University in the United States theorized that if orangutans heard laughter while learning how to find a reward, they might value that reward more. They designed a study that took place over five consecutive days…

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Neuroendocrine Tumors SPORE

A specialized program of research excellence in neuroendocrine tumors The main objective of this SPORE is to advance science leading to more personalized and comprehensive care for NET patients, ultimately improving both their…

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What If Your Medical AI Pipeline Could Evolve?

A patient needs a custom knee implant. The clinical workflow looks like this: acquire a CT scan, segment the femur and tibia, reconstruct full 3D bone geometry, extract 77 morphological parameters, and generate a patient-specific implant design. A team at Brest University Hospital recently automated this entire pipeline — from raw CT to finished implant CAD — in 15 minutes. That's impressive engineering. But look at the architecture: each step is hardcoded into the next. The segmentation model is welded to the reconstruction algorithm, which is welded to the parameter extractor. If a better segmentation model appears next month, swapping it in means rewriting integration code, re-validating the pipeline, and re-running regulatory checks. This is the static pipeline problem — and it exists far beyond medical imaging. Every AI system that chains models together faces it. The question is…

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