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Toward robust mammography-based models for breast cancer risk

Science for just $15 USD. Don’t risk it Mammograms are a common but imperfect way of assessing breast cancer risk. Current U.S. breast cancer screening guidelines all use a component of cancer risk assessment to inform clinical course. Yala et al. developed a machine learning model called “Mirai” to predict breast cancer risk based on traditional mammograms. The authors’ risk model performed better than Tyrer-Cuzick and previous deep learning models at identifying both 5-year breast cancer risk and high-risk patients across multiple international cohorts. Mirai also performed similarly across race and ethnicity categories, suggesting the potential for improvement in patient care across the board.

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Laneige Beauty & Life Lab hosted the first global symposium with retinol experts

LANEIGE Beauty & Life Lab of Laneige, a premium functional skincare brand, hosted the first global academic symposium on January 11th. This online symposium was under the theme 'Retinol, the Almighty Anti-Ager: 27 Years of Innovative Research'.

Decisions, Decisions

Decision making is exhausting. What if I get other people to make them for me?   The opening line to this piece got way more complicated than I anticipated. I wanted to quote a statistic on the number of decisions individuals make a day, so, of course, I googled it, and the number that came up was 35,000. That seemed a bit high. I went a little further down the search results and there was a link to a discussion about that number. Hello Google rabbit hole, I’ve come to visit you. To summarize: The accuracy of that stat is contested; no one can find the source for it.

Chinese students form study pods in shared housing

Listen to the story. Emily Mao, second from left, joined a co-living community of students in Hangzhou, China, who are studying online often overnight at US and Canada-based colleges and universities. Credit: Share From the outside, this apartment in Hangzhou, China looks nondescript. But inside, there’s a hive of activity. Six students from across China have formed a study pod and are rooming together in a co-living community.  Kept from their colleges and universities in the US and Canada due to pandemic-related travel restrictions, they’re making the best of it by studying remotely together.  One of the residents is Emily Mao, a sophomore at the University of British Columbia in Vancouver. Fearing for her health and safety in the US, Mao’s parents made her return to China last March as China began to return to normal but caseloads in North America got more serious. She spent months living with them while attending her regularly scheduled classes online. 

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