Results 31 to 40 of about 318,460 (275)

Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology

Molecular Oncology, EarlyView.
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts, Senada Koljenović, Elise Daems, Karolien De Wael, Marc Peeters, Léon C. van Kempen, Greetje Vanhoutte, Karen Zwaenepoel, Timon Vandamme   +8 more
wiley   +1 more source

AI-based game design patterns [PDF]

, 2015
This paper proposes a model for designing games around Artificial Intelligence (AI). AI-based games put AI in the foreground of the player experience rather than in a supporting role as is often the case in many commercial games. We analyze the use of AI
Cook, Michael, Eladhari, Mirjam P, Levine, John, Magerko, Brian, Smith, Adam, Smith, Gillian, Thompson, Tommy, Togelius, Julian, Treanor, Mike, Zook, Alexander   +9 more
core   +1 more source

Creativity: Generating Diverse Questions using Variational Autoencoders

, 2017
Generating diverse questions for given images is an important task for computational education, entertainment and AI assistants. Different from many conventional prediction techniques is the need for algorithms to generate a diverse set of plausible ...
Jain, Unnat, Schwing, Alexander, Zhang, Ziyu   +2 more
core   +1 more source

Aggressive prostate cancer is associated with pericyte dysfunction

Molecular Oncology, EarlyView.
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero, Ane Martinez‐Larrinaga, Joaquim Grego‐Bessa, Saioa Garcia‐Longarte, Hielke van Splunder, Ianire Astobiza, Amaia Ercilla, Laura Bozal‐Basterra, Isabel Mendizabal, Pilar Villacampa, Arkaitz Carracedo, Mariona Graupera   +11 more
wiley   +1 more source

Understanding the Role of Trust, Perceived Risk, and Habit in Organization Members' Generative AI Use

SAGE Open
The rapid advancement of generative artificial intelligence (AI) presents organizations with unique opportunities and challenges. While companies are increasingly adopting this technology to enhance productivity and gain a competitive edge, understanding
Byoungsoo Kim, Daekil Kim
doaj   +1 more source

Incorporating Generative AI Into a Health Informatics Curriculum to Build 21st Century Competencies: Multisite Pre-Post Study

JMIR Medical Informatics
BackgroundWe designed learning assignments for students to develop knowledge, skills, and professional attitudes about generative artificial intelligence (AI) in 2 different Master’s level courses in health informatics.
Freddie Seba, Miriam Isola, Laura Mills, Mohan Zalake, Jacob Krive   +4 more
doaj   +1 more source

Poisson Latent Feature Calculus for Generalized Indian Buffet Processes [PDF]

, 2014
The purpose of this work is to describe a unified, and indeed simple, mechanism for non-parametric Bayesian analysis, construction and generative sampling of a large class of latent feature models which one can describe as generalized notions of Indian ...
Lancelot F. James, Lancelot F. James
core   +1 more source

Co-clustering separately exchangeable network data

, 2014
This article establishes the performance of stochastic blockmodels in addressing the co-clustering problem of partitioning a binary array into subsets, assuming only that the data are generated by a nonparametric process satisfying the condition of ...
Choi, David, Wolfe, Patrick J.
core   +1 more source

Improving PARP inhibitor efficacy in bladder cancer without genetic BRCAness by combination with PLX51107

Molecular Oncology, EarlyView.
Clinical trials on PARP inhibitors in urothelial carcinoma (UC) showed limited efficacy and a lack of predictive biomarkers. We propose SLFN5, SLFN11, and OAS1 as UC‐specific response predictors. We suggest Talazoparib as the better PARP inhibitor for UC than Olaparib.
Jutta Schmitz, Anna L. Bartkowiak, Michael Rose, Nora Kolks, Patrick Petzsch, Vandana Solanki, Anne Stoffel, Bianca Faßbender, Leandra Lepping, Julka Volkamer, Karl Köhrer, Marc Seifert, Tokameh Mahmoudi, Tahlita C. M. Zuiverloon, Günter Niegisch, Michèle J. Hoffmann   +15 more
wiley   +1 more source

The Evolution of Generative AI: Trends and Applications

IEEE Access
Generative artificial intelligence (AI) has revolutionized AI by enabling high-fidelity content creation across text, images, audio, and structured data.
Maria Trigka, Elias Dritsas
doaj   +1 more source