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Articles by Daisy Ding
Plasma proteomic signatures of cellular aging predict human disease
Abstract Aging is asynchronous across cells and organs. Here we tested whether plasma proteomics can be used to analyze cell type-specific aging. From analyses of over 7,000 plasma proteins measured in 60,542 individuals, we developed machine learning models to estimate the biological age of over 40 cell types spanning neuronal, immune, glial, endocrine, epithelial and musculoskeletal origins.
Temporal and spatial composition of the tumor microenvironment predicts response to immune checkpoint inhibition in metastatic TNBC - Nature Cancer
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Abstract Immune checkpoint inhibition (ICI) benefits only a subset of patients with metastatic triple-negative breast cancer and determinants of response remain unclear. We assembled a longitudinal cohort of 103 female patients from the phase 2 TONIC trial, with samples spanning primary tumors, pretreatment metastases and on-treatment metastases during nivolumab therapy.
By Noah Greenwald, Iris Nederlof, Cameron Sowers, Daisy Ding, Seongyeol Park, Alex Kong, Kathleen E. Houlahan, Sricharan Reddy Varra, Manon de Graaf, Veerle Geurts, Candace C. Liu, Jolene S. Ranek, Leonie Voorwerk, Michiel de Maaker, Adam Kagel, Erin McCaffrey, Aziz K. Khan, Christine Yeh, Christine Camacho Fullaway, Zumana Khair, Brennan Simon, Yunhao Bai, Hadeesha Piyadasa, Tyler Risom, Alea Delmastro, Felix J. Hartmann, Lise Mangiante, Cristina Sotomayor-Vivas, Sean C. Bendall, Ton N. Schumacher, Zhicheng Ma, Marc Bosse, Robert Tibshirani, Hugo M. Horlings, Christina Curtis, Marleen Kok, Michael Angelo, Marc J. van de Vijver
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Nature
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Temporal and spatial composition of the tumor microenvironment predicts response to immune checkpoint inhibition
Abstract Immune checkpoint inhibition (ICI) has fundamentally changed cancer treatment. However, only a minority of patients with metastatic triple negative breast cancer (TNBC) benefit from ICI, and the determinants of response remain largely unknown.
Nostalgia During Time of Crisis
With the sudden end of the last three months of lockdown here in Shanghai, life seems to be returning to normalcy. Stores and restaurants are reopening, and more people are back on the streets. In the 85 days I stayed home, I often thought of the times when we could still live without restrictions, the days I could still hang out with my friends, and the days I could go to my swimming practice.
How “Mobile Short-Form Videos” Interfere with the 21st century
Every time I look up and go about my daily life, I see most people with their heads fixed on a mobile device. Getting on a metro back home, I glance around the tranquil carriage. The eyes of middle-aged men narrow into crescent moons, and I could picture their smiling faces beneath the bland masks. The younger generation, scrolling on their phones with friends, whispering at each other on what they had just seen. I look down at my screen, my notification rings, and a message appears.
Power Your Lead Scoring with ML for Near Real-Time Predictions
Every organization wants to identify the right sales leads at the right time to optimize conversions. Lead scoring is a popular method for ranking prospects through an assessment of perceived value and sales-readiness. Scores are used to determine the order in which high-value leads are contacted, thus ensuring the best use of a salesperson’s time. Of course, lead scoring is only as good as the information supplied.
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