Results 71 to 80 of about 1,638,905 (280)
Molecular Oncology, EarlyView.There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes +20 more
wiley +1 more source
Participating in a Computer Science Linked-courses Learning Community Reduces Isolation [PDF]
arXiv, 2017 In our previous work we reported on a linked-courses learning community for underrepresented groups in computer science, finding differences in attitudes and resource utilization between students in the community and other programming students. Here we present the first statistically significant differences in pre- to post-quarter student attitudes ...
arxiv
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure
, 2018 As machine learning systems move from computer-science laboratories into the open world, their accountability becomes a high priority problem. Accountability requires deep understanding of system behavior and its failures. Current evaluation methods such
Horvitz, Eric +2 more
core +1 more source
Molecular Oncology, EarlyView.This article advocates integrating temporal dynamics into cancer research. Rather than relying on static snapshots, researchers should increasingly consider adopting dynamic methods—such as live imaging, temporal omics, and liquid biopsies—to track how tumors evolve over time.
Gautier Follain +3 more
wiley +1 more source
Learning unification-based grammars using the Spoken English Corpus [PDF]
ICGI-94 Colloquium, 1994 This paper describes a grammar learning system that combines model-based and data-driven learning within a single framework. Our results from learning grammars using the Spoken English Corpus (SEC) suggest that combined model-based and data-driven learning can produce a more plausible grammar than is the case when using either learning style isolation.
arxiv
C-Sheep: Controlling Entities in a 3D Virtual World as a Tool for Computer Science Education [PDF]
, 2006 One of the challenges in teaching computer science in general and computer programming in particular is to maintain the interest of students, who often perceive the subject as difficult and tedious. To this end, we introduce C-Sheep, a mini-language-like
Anderson, Eike F., McLoughlin, L.
core
Machine learning for computational science and engineering models
, 2017 Whitepaper submitted to the 2017 DOE ASCR Applied Math MeetingMachine learning for computational science and engineering modelsPaul Constantine, University of Colorado ...
openaire +1 more source
Molecular Oncology, EarlyView.In patients treated with atezolizumab as a part of the MyPathway (NCT02091141) trial, pre‐treatment ctDNA tumor fraction at high levels was associated with poor outcomes (radiographic response, progression‐free survival, and overall survival) but better sensitivity for blood tumor mutational burden (bTMB).
Charles Swanton +17 more
wiley +1 more source
A Statistical and Machine Learning Approach for Summarising Computer Science Research Papers [PDF]
, 2023 Sheik Muhammad Wakeel Bauboorally +1 more
openalex +1 more source
A bright future for financial agent-based models
, 2018 The history of research in finance and economics has been widely impacted by the field of Agent-based Computational Economics (ACE). While at the same time being popular among natural science researchers for its proximity to the successful methods of ...
Belianin, A. +3 more
core +1 more source