Results 51 to 60 of about 319,919 (272)
Molecular Oncology, EarlyView.Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang +12 more
wiley +1 more source
Iterative Application of the aiNET Algorithm in the Construction of a Radial Basis Function Neural Network [PDF]
, 2008 This paper presents some of the procedures adopted in the construction of a Radial Basis Function Neural Network by iteratively applying the aiNET, an Artificial Immune Systems Algorithm.
Bastos, Rogério Cid +5 more
core
Molecular cancer prevention: Intercepting disease
Molecular Oncology, EarlyView.Oncological practice must evolve, from treating established tumours to proactive cancer interception before clinical manifestation. This will require mechanistic insight into tumour initiation, validated biomarkers of early disease development and redesigned clinical trials, enabling cancer interception to become a core pillar of oncology with the ...
Charlotte Grieco +2 more
wiley +1 more source
Blind Search for Optimal Wiener Equalizers Using an Artificial Immune Network Model
EURASIP Journal on Advances in Signal Processing, 2003 This work proposes a framework to determine the optimal Wiener equalizer by using an artificial immune network model together with the constant modulus (CM) cost function. This study was primarily motivated by recent theoretical results concerning the CM
Romis Ribeiro de Faissol Attux +5 more
doaj +1 more source
Digital twins to accelerate target identification and drug development for immune‐mediated disorders
FEBS Open Bio, EarlyView.Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley +1 more source
Development and Practical Applications of Computational Intelligence Technology
BioMedInformaticsComputational intelligence (CI) uses applied computational methods for problem-solving inspired by the behavior of humans and animals. Biological systems are used to construct software to solve complex problems, and one type of such system is an ...
Yasunari Matsuzaka, Ryu Yashiro
doaj +1 more source
FEBS Open Bio, EarlyView.The MRP4 transporter exports several drugs and signaling molecules. Here, we identified key promoter elements regulating basal MRP4 expression. Using reporter assays, we defined a conserved region with essential Sp1 and contributory Ets sites, which controlled basal MRP4 expression.
Debora Singer +7 more
wiley +1 more source
Negative Selection Algorithm for Unsupervised Anomaly Detection
Applied SciencesIn this work, we present a modification of the well-known Negative Selection Algorithm (NSA), inspired by the process of T-cell generation in the immune system.
Michał Bereta
doaj +1 more source
Representation in the (Artificial) Immune System [PDF]
Journal of Mathematical Modelling and Algorithms, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
McEwan, Chris, Hart, Emma
openaire +1 more source
FEBS Open Bio, EarlyView.Pharmacological inhibition of PERK in a DEN‐induced mouse model of liver cancer does not reduce tumor burden but alters cellular stress signaling. Despite blocking PERK activity, downstream stress responses, including CHOP expression, remain active, suggesting compensatory mechanisms within the unfolded protein response that may influence tumor ...
Ada Lerma‐Clavero +5 more
wiley +1 more source