Results 71 to 80 of about 3,493,944 (312)

Social Collaborative Retrieval [PDF]

, 2014
Socially-based recommendation systems have recently attracted significant interest, and a number of studies have shown that social information can dramatically improve a system's predictions of user interests.
Bedi Punam, Massa Paolo, Shah Chirag, Weston Jason, Zheng Vincent W   +4 more
core   +1 more source

Detecting homologous recombination deficiency for breast cancer through integrative analysis of genomic data

Molecular Oncology, EarlyView.
This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu, Katherine Eason, Suet‐Feung Chin, Paul A. W. Edwards, Raquel Manzano Garcia, Richard Moulange, Jia Wern Pan, Soo Hwang Teo, Sach Mukherjee, Maurizio Callari, Carlos Caldas, Stephen‐John Sammut, Oscar M. Rueda   +12 more
wiley   +1 more source

Tackling the Challenges of 21st-Century Open Science and Beyond: A Data Science Lab Approach

Patterns, 2020
Summary: In recent years, there has been a drive toward more open, cross-disciplinary science taking center stage. This has presented a number of challenges, including providing research platforms for collaborating scientists to explore big data, develop
Michael J. Hollaway, Graham Dean, Gordon S. Blair, Mike Brown, Peter A. Henrys, John Watkins   +5 more
doaj  

Jigsaw technique: An innovative teaching strategy in anatomy

Journal of the Scientific Society, 2022
Objectives: (1) To motivate students for self-directed learning and to enhance their communication skills. (2) To investigate jigsaw technique for its effectiveness in learning anatomy.
Suma Dnyanesh, Sheetal Vishwanath Pattanshetti, Shilpa M Bhimalli, Daksha Dixit   +3 more
doaj   +1 more source

Circulating tumor DNA monitoring and blood tumor mutational burden in patients with metastatic solid tumors treated with atezolizumab

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, Russell W. Madison, Candice Francheska B. Tambaoan, Funda Meric‐Bernstam, Christopher J. Sweeney, Razelle Kurzrock, Howard A. Burris III, David R. Spigel, Hanna Tukachinsky, Jason Hughes, Julia Malato, Bongin Yoo, Tania Szado, Cheryl Schwab, Lincoln W. Pasquina, Amaya Gasco, Katja Schulze, Claire F. Friedman   +17 more
wiley   +1 more source

RMD METHOD WITH COLLABORATIVE WRITING APPROACH TO INCREASING STUDENT’S ABILITY TO CREATE A BOOK

Jurnal Educatio FKIP UNMA, 2019
Penelitian ini berlangsung di universitas/sekolah tinggi di Kabupaten Majalengka pada mahasiswa semester empat dengan berdasar pada asumsi bahwa kemampuanmenulis harus dikembangkan secara berkesinambungan sebagai salah satu upaya untuk menciptakan budaya
Titin Kustini, Afief Fakhruddin
doaj   +1 more source

Implementing the IOM Future of Nursing Report Part II: The Potential of Interprofessional Collaborative Care to Improve Safety and Quality [PDF]

, 2011
Outlines progress in implementing interprofessional collaborative care by physicians, nurse practitioners, physician assistants, and others; collaborative practice models; interprofessional education curricula; and policies to promote collaborative ...

core  

Characterisation of collaborative decision making processes [PDF]

, 2010
This paper deals with the collaborative decision making induced or facilitated by Information and Communication Technologies (ICTs) and their impact on decisional systems. After presenting the problematic, we analyse the collaborative decision making and
Clermont, Philippe, Noyes, Daniel, Seguy, Anne   +2 more
core   +3 more sources

Beyond digital twins: the role of foundation models in enhancing the interpretability of multiomics modalities in precision medicine

FEBS Open Bio, EarlyView.
This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi, Xin Gao, Takashi Gojobori   +2 more
wiley   +1 more source

Exploring the role of social media in collaborative learning the new domain of learning

Smart Learning Environments, 2020
This study is an attempt to examine the application and usefulness of social media and mobile devices in transferring the resources and interaction with academicians in higher education institutions across the boundary wall, a hitherto unexplained area ...
Jamal Abdul Nasir Ansari, N. Khan
semanticscholar   +1 more source