|
0
|
|
Enhancing venous thromboembolism risk prediction after immunotherapy for lung cancer.
(linkinghub.elsevier.com)
|
Shengyuan Wang
…
Xu X
iScience
2026-07-21
|
#immunotherapy
#thromboembolism
#prediction
#machine learning
#oncology
|
|
0
|
|
DynaTCR: Dynamic hard-negative ensemble graph learning improves TCR-epitope binding prediction.
(academic.oup.com)
|
Fu X
…
Zou Q
Bioinformatics
2026-07-21
|
#machine learning
#immunology
#prediction
#epitope
#binding
|
|
0
|
|
Classification models for KCNQ1 variants distinguish functional and trafficking effects to enhance pathogenicity interpretation.
(pnas.org)
|
Chang-Gonzalez AC
…
Meiler J
PNAS
2026-07-21
|
#variants
#arrhythmia
#machine learning
#pathogenicity
#ion channel
|
|
0
|
|
Artificial intelligence perceives marginal gains from MHC class I haplotype data in antigen presentation predictions.
(nature.com)
|
Zanzotto FM
…
Alfaro JA
npj Systems Biology and Applications
2026-07-21
|
#epitope
#mhc
#immunoinformatics
#machine learning
#antigen
|
|
0
|
|
Integrating multi-index remote sensing and machine learning for mangrove dynamics assessment using sentinel-2 imagery.
(linkinghub.elsevier.com)
|
Yu H
…
Said Y
iScience
2026-07-21
|
#machine learning
#remote_sensing
#ecosystem-monitoring
#conservation
|
|
0
|
|
Small-scale photonic Kolmogorov-Arnold networks using standard telecom nonlinear modules.
(nature.com)
|
Calcado LN
…
Manuylovich E
Nature Communications
2026-07-21
|
#photonics
#neural-networks
#optical-computing
#machine learning
|
|
0
|
|
Wrapshap a high dimension feature selection framework to explore biological systems through machine learning explanations.
(nature.com)
|
Furger F
…
Monsarrat P
npj Systems Biology and Applications
2026-07-21
|
#machine learning
#feature selection
#interpretability
#high-dimensional-data
|
|
0
|
|
Exploring prediction of tick and tick-borne encephalitis cases in Sweden using citizen science data.
(linkinghub.elsevier.com)
|
Liu Y
…
Rocklov J
iScience
2026-07-21
|
#tick-borne-encephalitis
#tick
#prediction
#surveillance
#machine learning
|