Results 111 to 120 of about 10,035,302 (334)
TTT and R2TP chaperone complexes are required for the assembly and activation of mTORC1. WAC directly interacts with components of TTT, R2TP, and mTORC1, and these interactions are affected by the availability of glucose and glutamine, correlating with changes in mTORC1 activity.
Sofía Cabezudo+11 more
wiley +1 more source
In recent decades, the vast majority of researchers in the field of information retrieval (IR) have been studying three main categories of IR models (i.e., vector space models, probabilistic models and statistical language models).
Zhiwei Ying+2 more
doaj +1 more source
High LRIG1 expression predicts lymph node metastasis in patients with uterine cervical cancer
Lymph node status is crucial in determining treatment for women with early‐stage cervical cancer. We demonstrate that high LRIG1 protein expression in primary tumors can predict lymph node metastases. Our findings support further investigation of LRIG1 as a biomarker to improve staging accuracy and guide treatment decisions in cervical cancer patients.
Pernilla Israelsson+5 more
wiley +1 more source
Logic replicant: a new machine learning algorithm for multiclass classification in small datasets
Multiclass classification with small datasets often presents a significant challenge for conventional machine learning (ML) algorithms, predicting with an accuracy affected by this context of data scarcity. To remedy this, this papers presents a novel ML
Pedro Corral+2 more
doaj +1 more source
Precision‐Optimised Post‐Stroke Prognoses
ABSTRACT Background Current medicine cannot confidently predict who will recover from post‐stroke impairments. Researchers have sought to bridge this gap by treating the post‐stroke prognostic problem as a machine learning problem, reporting prediction error metrics across samples of patients whose outcomes are known.
Thomas M. H. Hope+4 more
wiley +1 more source
Multimedia Information Retrieval Model
Given a collection of multimedia documents, the goal of multimedia information retrieval (MIR) is to find the documents that are relevant to a user information need. A multimedia document is a complex information object, with components of different kinds, such as text, images, video and sound, all in digital form.
Meghini C, Sebastiani F, Straccia U
openaire +5 more sources
Actionable Wearables Data for the Neurology Clinic: A Proof‐of‐Concept Tool
ABSTRACT Objective Wearable devices can monitor key health and fitness domains. In multiple sclerosis (MS), monitoring step count and sleep is feasible, valid, and offers a holistic glimpse of patient functioning and worsening. However, data generated from wearables are typically unavailable at the point of care.
Nicolette Miller+12 more
wiley +1 more source
ABSTRACT Objective Despite the availability of effective therapies for Multiple Sclerosis (MS), the unpredictable nature of disease progression and the variability in individual treatment outcomes call for reliable biomarkers. This pilot study aims to investigate the potential of plasma circulating microRNAs (miRNAs) as predictive biomarkers for ...
Fortunata Carbone+19 more
wiley +1 more source