Results 81 to 90 of about 1,080,302 (365)

Single‐cell insights into the role of T cells in B‐cell malignancies

FEBS Letters, EarlyView.
Single‐cell technologies have transformed our understanding of T cell–tumor cell interactions in B‐cell malignancies, revealing new T‐cell subsets, functional states, and immune evasion mechanisms. This Review synthesizes these findings, highlighting the roles of T cells in pathogenesis, progression, and therapy response, and underscoring their ...
Laura Llaó‐Cid
wiley   +1 more source

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

FEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan, Lu Qi, Pierre Zalloua   +2 more
wiley   +1 more source

PlayerRank: Leveraging Learning-to-Rank AI for Player Positioning in Cricket

IEEE Access
Player prioritization is crucial in sports analysis, yet prioritizing based on playing position is underexplored. This paper focuses on using learning-to-rank machine learning models to select the best players for slots within a cricket team’s ...
Bilal Hassan, Clare Clough, Yusra Siddiqi, Rao Faizan Ali, Muhammad Asad Arshed   +4 more
doaj   +1 more source

Extraction of Effective Textual and Semantic Features in Learning to Rank for Web Document Retrieval

Iranian Journal of Information Processing & Management, 2021
Ranking algorithms, as the core of web search systems, are responsible for finding and ranking the most relevant documents to user information needs from the crawled and indexed corpus.
Mohaddeseh Mahjoob, Faezeh Ensan, Sanaz Keshvari, Parastoo Jafarzadeh, Mohammadamin keyvanzad   +4 more
doaj  

Ergothioneine supplementation improves pup phenotype and survival in a murine model of spinal muscular atrophy

FEBS Letters, EarlyView.
Spinal muscular atrophy (SMA) is a genetic disease affecting motor neurons. Individuals with SMA experience mitochondrial dysfunction and oxidative stress. The aim of the study was to investigate the effect of an antioxidant and neuroprotective substance, ergothioneine (ERGO), on an SMNΔ7 mouse model of SMA.
Francesca Cadile, Daniela Ratto, Giorgia Rastelli, Ottavia Eleonora Ferraro, Caterina Temporini, Sunil Kumar, Simona Boncompagni, Paola Rossi, Monica Canepari   +8 more
wiley   +1 more source

Is Learning to Rank Worth It? A Statistical Analysis of Learning to Rank Methods

, 2013
The Learning to Rank (L2R) research field has experienced a fast paced growth over the last few years, with a wide variety of benchmark datasets and baselines available for experimentation. We here investigate the main assumption behind this field, which is that, the use of sophisticated L2R algorithms and models, produce significant gains over more ...
Gomes, Guilherme de Castro Mendes, de Oliveira, Vitor Campos, de Almeida, Jussara Marques, Gonçalves, Marcos André   +3 more
openaire   +2 more sources

Interactive Learning of Pattern Rankings [PDF]

International Journal on Artificial Intelligence Tools, 2014
Pattern mining provides useful tools for exploratory data analysis. Numerous efficient algorithms exist that are able to discover various types of patterns in large datasets. Unfortunately, the problem of identifying patterns that are genuinely interesting to a particular user remains challenging. Current approaches generally require considerable data
Dzyuba, Vladimir, Leeuwen, Matthijs van, Nijssen, Siegfried, De Raedt, Luc   +3 more
openaire   +3 more sources

Deep Multi-view Learning to Rank

, 2019
We study the problem of learning to rank from multiple information sources. Though multi-view learning and learning to rank have been studied extensively leading to a wide range of applications, multi-view learning to rank as a synergy of both topics has
Cao, Guanqun, Gabbouj, Moncef, Gottumukkala, Raju, Iosifidis, Alexandros, Raghavan, Vijay   +4 more
core   +1 more source

Learning to rank music tracks using triplet loss

, 2020
Most music streaming services rely on automatic recommendation algorithms to exploit their large music catalogs. These algorithms aim at retrieving a ranked list of music tracks based on their similarity with a target music track.
Peeters, Geoffroy, Prétet, Laure, Richard, Gaël   +2 more
core   +1 more source

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

Molecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source