Results 51 to 60 of about 3,038,337 (264)
Interrogating the immune landscape of microsatellite stable RAS‐mutated colon cancer
Molecular Oncology, EarlyView.COLOSSUS project RAS‐mutated MSS colon cancer study explored transcriptomics and immune cell density by immunohistochemistry (IHC), Immunoscore (IS), ISIC/TuLIS scores, mutation counts, and detected different prevalences but similar microenvironment composition across immune markers with clinical relevance for future immunotherapy combination ...
Rodrigo Dienstmann +61 more
wiley +1 more source
PyFml - a Textual Language For Feature Modeling
, 2018 The Feature model is a typical approach to capture variability in a software product line design and implementation. For that, most works automate feature model using a limited graphical notation represented by propositional logic and implemented by ...
Al-Azzawi, A. F.
core +1 more source
E2A selectively regulates TGF‐β–induced apoptosis in KRAS‐mutant non‐small cell lung cancer
Molecular Oncology, EarlyView.Ability to induce apoptosis by TGF‐β is frequently lost in advanced lung adenocarcinoma despite intact TGF‐β signaling. We identify E2A as a mutant KRAS–dependent mediator of resistance to TGF‐β–induced apoptosis. TGF‐β induces E2A via SMAD3 in mutant KRAS cells, and E2A silencing restores apoptosis and enhances radiation response in cell lines ...
Sergei Chuikov +3 more
wiley +1 more source
Large Language Models Are Biased Because They Are Large Language Models
Computational LinguisticsAbstract This position paper’s primary goal is to provoke thoughtful discussion about the relationship between bias and fundamental properties of large language models (LLMs). I do this by seeking to convince the reader that harmful biases are an inevitable consequence arising from the design of any large language model as LLMs are ...
openaire +2 more sources
Language as a Latent Variable: Discrete Generative Models for Sentence Compression
, 2016 In this work we explore deep generative models of text in which the latent representation of a document is itself drawn from a discrete language model distribution.
Blunsom, Phil, Miao, Yishu
core +1 more source
Molecular Oncology, EarlyView.Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena +15 more
wiley +1 more source
Compact Personalized Models for Neural Machine Translation
, 2018 We propose and compare methods for gradient-based domain adaptation of self-attentive neural machine translation models. We demonstrate that a large proportion of model parameters can be frozen during adaptation with minimal or no reduction in ...
DeNero, John +2 more
core +1 more source
FEBS Open Bio, EarlyView.Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley +1 more source
Health Care ScienceBackground Large language models (LLMs) have shown considerable promise in supporting clinical decision‐making. However, their adoption and evaluation in dermatology remains limited.
Jungang Yang +8 more
doaj +1 more source
Knowledge-guided large language model for material science
Review of Materials ResearchWith ChatGPT starting a storm of transformative applications worldwide, the advent of large language models (LLMs) has revolutionized the paradigm of scientific research, shifting from data-driven methods to AI-driven science.
Guanjie Wang +5 more
doaj +1 more source