Results 91 to 100 of about 51,546,132 (341)
Toward the Tradeoffs between Privacy, Fairness and Utility in Federated Learning [PDF]
Federated Learning (FL) is a novel privacy-protection distributed machine learning paradigm that guarantees user privacy and prevents the risk of data leakage due to the advantage of the client's local training. Researchers have struggled to design fair FL systems that ensure fairness of results.
arxiv
Tumor microenvironment drives cancer formation and progression. We analyzed the role of human cancer‐associated adipocytes from patients with renal cell carcinoma (RCC) stratified as lean, overweight, or obese. RNA‐seq demonstrated that, among the most altered genes involved in the tumor–stroma crosstalk, are ADAM12 and CYP1B1, which were proven to be ...
Sepehr Torabinejad+13 more
wiley +1 more source
Tried and True: Fair Use Tales for the Telling
On Thursday, March 1, 2018, the Harvard Library Office for Scholarly Communication hosted “Tried and True: Fair Use Tales for the Telling,” a one-day program celebrating Harvard’s Fifth Anniversary of Fair Use Week.
Sarah E. McCleskey, Courtney Selby
doaj +1 more source
The authors conducted a retrospective study of 94 patients with advanced cancer who underwent next‐generation sequencing (NGS) gene panel analysis and received targeted treatments when applicable. Results further support evidence indicating that molecular profiling provides clinical benefit.
Michaël Dang+3 more
wiley +1 more source
Measuring FAIR Principles to Inform Fitness for Use
For open science to flourish, data and any related digital outputs should be discoverable and re-usable by a variety of potential consumers. The recent FAIR Data Principles produced by the Future of Research Communication and e-Scholarship (FORCE11 ...
Bradley Wade Bishop, Carolyn Hank
doaj +1 more source
Fairness with Overlapping Groups [PDF]
In algorithmically fair prediction problems, a standard goal is to ensure the equality of fairness metrics across multiple overlapping groups simultaneously. We reconsider this standard fair classification problem using a probabilistic population analysis, which, in turn, reveals the Bayes-optimal classifier.
arxiv
Analysis of ESR1 mutations in plasma cell‐free DNA (cfDNA) is highly important for the selection of treatment in patients with breast cancer. Using multiplex‐ddPCR and identical blood draws, we investigated whether circulating tumor cells (CTCs) and cfDNA provide similar or complementary information for ESR1 mutations.
Stavroula Smilkou+11 more
wiley +1 more source
Targeted metabolomics reveals novel diagnostic biomarkers for colorectal cancer
This study employed targeted metabolomic profiling to identify 302 distinct metabolites present in platelet‐rich plasma (PRP), revealing aberrant metabolic profiles amongst individuals diagnosed with colorectal cancer (CRC). Compared to carcinoembryonic antigen (CEA) and cancer antigen 19‐9 (CA199), our metabolite panel showed improved sensitivity ...
Zuojian Hu+7 more
wiley +1 more source
Fair dealing: We’ve got it, let’s use it
This review of Rosemary Coombe et al's edited collection Dynamic Fair Dealing: Creating Canadian culture online (University of Toronto Press, 2014) sketches the global and Canadian copyright contexts that make this book so timely and important for ...
Mark McCutcheon
doaj +1 more source
KMT2A degradation is observed in decitabine‐responsive acute lymphoblastic leukemia cells
We demonstrate that decitabine (DEC) not only degrades the DNA methyltransferase DNMT1 but also the leukemic driver lysine methyltransferase KMT2A likely due to structural similarity of the DNA‐binding CXXC domains. DEC influences KMT2A downstream processes and synergizes with menin inhibitor revumenib (REV) to decrease leukemic cell proliferation, and
Luisa Brock+10 more
wiley +1 more source