Prostate cancer is a leading malignancy with significant clinical heterogeneity in men. An 11‐gene signature derived from dysregulated epithelial cell markers effectively predicted biochemical recurrence‐free survival in patients who underwent radical surgery or radiotherapy.
Zhuofan Mou, Lorna W. Harries
wiley +1 more source
Using tailoring to increase the effectiveness of a persuasive game-based training for novel technologies [PDF]
A vast majority of people with motor disabilities cannot be part of the today's digital society, due to the difficulties they face in using conventional interfaces (i.e., mouse and keyboard) for computer operation.
Fountoukidou, S.+3 more
core +1 more source
How to Build User Simulators to Train RL-based Dialog Systems [PDF]
User simulators are essential for training reinforcement learning (RL) based dialog models. The performance of the simulator directly impacts the RL policy. However, building a good user simulator that models real user behaviors is challenging. We propose a method of standardizing user simulator building that can be used by the community to compare ...
arxiv
Training with Product Digital Twins for AutoRetail Checkout [PDF]
Automating the checkout process is important in smart retail, where users effortlessly pass products by hand through a camera, triggering automatic product detection, tracking, and counting. In this emerging area, due to the lack of annotated training data, we introduce a dataset comprised of product 3D models, which allows for fast, flexible, and ...
arxiv
Classification of acute myeloid leukemia based on multi‐omics and prognosis prediction value
The Unsupervised AML Multi‐Omics Classification System (UAMOCS) integrates genomic, methylation, and transcriptomic data to categorize AML patients into three subtypes (UAMOCS1‐3). This classification reveals clinical relevance, highlighting immune and chromosomal characteristics, prognosis, and therapeutic vulnerabilities.
Yang Song+13 more
wiley +1 more source
MCP: Self-supervised Pre-training for Personalized Chatbots with Multi-level Contrastive Sampling [PDF]
Personalized chatbots focus on endowing the chatbots with a consistent personality to behave like real users and further act as personal assistants. Previous studies have explored generating implicit user profiles from the user's dialogue history for building personalized chatbots.
arxiv
Effectiveness of Computer-Based Auditory Training for Adult Cochlear Implant Users: A Randomized Crossover Study [PDF]
Mariana Reis+4 more
openalex +1 more source
GART: The Gesture and Activity Recognition Toolkit [PDF]
Presented at the 12th International Conference on Human-Computer Interaction, Beijing, China, July 2007.The original publication is available at www.springerlink.comThe Gesture and Activity Recognition Toolit (GART) is a user interface toolkit designed ...
Brashear, Helene+4 more
core +2 more sources
Exploration of heterogeneity and recurrence signatures in hepatocellular carcinoma
This study leveraged public datasets and integrative bioinformatic analysis to dissect malignant cell heterogeneity between relapsed and primary HCC, focusing on intercellular communication, differentiation status, metabolic activity, and transcriptomic profiles.
Wen‐Jing Wu+15 more
wiley +1 more source
Senior citizens evaluating welfare technology: User experiences in SENER-project
´ In an aging society, it is important to work for finding ways to integrate seniors in the society and to pursue seniors’ wellbeing and independent living.
Riitta-Liisa Kinni+3 more
doaj