Vibrational spectroscopy and multivariate analysis techniques in the clinical immunology laboratory: a review of current applications and requirements for diagnostic …

EL Callery, AW Rowbottom - Applied Spectroscopy Reviews, 2022 - Taylor & Francis
… of immunology, these in silico techniques have already been applied to describe various
aspects of the immune … This pioneering work provides significance for both in vitro and in vivo …

A study of the recent trends of immunology: Key challenges, domains, applications, datasets, and future directions

S Pandya, A Thakur, S Saxena, N Jassal, C Patel… - Sensors, 2021 - mdpi.com
… far-reaching consequences of even small changes made in … algorithms and their application
in the immunology domain. … DL algorithms and their application in the immunology domain. …

Immune infiltrates in the breast cancer microenvironment: detection, characterization and clinical implication

S Burugu, K Asleh-Aburaya, TO Nielsen - Breast cancer, 2017 - Springer
… cancer and immune cell … immune cells is associated with better survival in ER negative
breast cancer patients, but also that the distribution of immune cells has prognostic implications

Resilient robot teams: a review integrating decentralised control, change-detection, and learning

DM Bossens, S Ramchurn, D Tarapore - Current Robotics Reports, 2022 - Springer
… In a related immune system inspired method, faults are detected by individual robots applying
a cross-regulation model [62, 63] on behavioural feature vectors of neighbouring robots …

Chemiluminescent immunoassay technology: what does it change in autoantibody detection?

L Cinquanta, DE Fontana, N Bizzaro - Autoimmunity highlights, 2017 - Springer
… autoantibodies using analytical methods with the highest sensitivity. The significance of this
… components of a complex immunological picture in a single analytical step, efficiently and at …

[HTML][HTML] Artificial intelligence and digital pathology: Opportunities and implications for immuno-oncology

F Sobhani, R Robinson, A Hamidinekoo… - … et Biophysica Acta (BBA …, 2021 - Elsevier
… The intensity of the baseline immune infiltrate has prognostic and predictive significance in
HER2-positive and triple-negative subtypes [37]. In triple-negative breast cancer, TILs score …

Change detection in multisource VHR images via deep siamese convolutional multiple-layers recurrent neural network

H Chen, C Wu, B Du, L Zhang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
… images has crucial effects on the research of building CD, urban internal change analysis,
and urban … Same with DSCN, the SiamCRNN and its two variants are completely immune to “…

Application of a bio-inspired anomaly detection algorithm for unsupervised SHM of a historic masonry church

A Barontini, MG Masciotta, LF Ramos… - 2018 - repositorium.sdum.uminho.pt
… inspiration from the mammalian immune system, whose … considerations, the first aim of
the paper is to show how to set the key parameters of the NSA algorithm for anomaly detection

[图书][B] Artificial immune system: applications in computer security

Y Tan - 2016 - books.google.com
… To explore the effects of a sliding window, we design two strategies using a sliding window
with … with niching strategy inspiring by biological immune principles for change detection, in …

DENSA: An effective negative selection algorithm with flexible boundaries for self-space and dynamic number of detectors

S Fouladvand, A Osareh, B Shadgar, M Pavone… - … Applications of Artificial …, 2017 - Elsevier
… An immunology approach to change detection: algorithm, analysis and implications. In:
Proceedings of the 1996 IEEE Symposium on Computer Security and Privacy. Los Alamitos, CA, …