Results 161 to 170 of about 102,518 (248)

Electrochemical-Genetic Programming of Protein-Based Magnetic Soft Robots for Active Drug Delivery. [PDF]

Adv Sci (Weinh)
Zhao H, Yu B, Yu D, Ji T, Nie K, Tian J, Shen X, Zhang K, Ou J, Yang X, Xiao D, Zhou Q, Huang W.   +12 more
europepmc   +1 more source

Business failure prediction models with high and stable predictive power over time using genetic programming [PDF]

Ángel Beade, Manuel Rodríguez, José Sántos   +2 more
openalex   +1 more source

Perspectives in educating molecular pathologists on liquid biopsy: Toward integrative, equitable, and decentralized precision oncology

Molecular Oncology, EarlyView.
Liquid biopsy enables minimally invasive, real‐time molecular profiling through analysis of circulating biomarkers in biological fluids. This Perspective highlights the importance of training pathologists through integrative educational programs, such as the European Masters in Molecular Pathology, to ensure effective and equitable implementation of ...
Marius Ilié, Umberto Malapelle, Catherine Alix‐Panabières, Claus Lindbjerg Andersen, Sandra Chlebowski, Vivien Lake, Caroline Lacoux, Virginie Lespinet‐Fabre, Olivier Bordone, Simon Heeke, Christophe Bontoux, Ellen Heitzer, Klaus Pantel, Paul Hofman   +13 more
wiley   +1 more source

The tree-based pipeline optimization tool: Tackling biomedical research problems with genetic programming and automated machine learning. [PDF]

Patterns (N Y)
Hernandez JG, Saini AK, Ghosh A, Moore JH.   +3 more
europepmc   +1 more source

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

Molecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice, Jose I. Lopez, Aitziber Ugalde‐Olano, Maite Zufiaurre, Ianire Astobiza, Natalia Martin‐Martin, Laura Bozal‐Basterra, Saioa Garcia‐Longarte, Amaia Zabala‐Letona, Sofia Rey, Aida Santos‐Martin, Miguel Unda, Ana Loizaga‐Iriarte, Mariona Graupera, Paolo Nuciforo, Arkaitz Carracedo, Isabel Mendizabal   +16 more
wiley   +1 more source

Salient object detection dataset with adversarial attacks for genetic programming and neural networks. [PDF]

Data Brief
Olague M, Olague G, Pineda R, Ibarra-Vazquez G.   +3 more
europepmc   +1 more source

Controling Bloat in Genetic Programming For Sloving Wall Following Problem

, 2014
Navid Bazrkar, Mostafa Nemati, R. Salimi
openalex   +1 more source

Next‐generation proteomics improves lung cancer risk prediction

Molecular Oncology, EarlyView.
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj, Clara Frick, Ben Schöttker, Bernd Holleczek, Hermann Brenner   +4 more
wiley   +1 more source

Computational peptide discovery with a genetic programming approach. [PDF]

J Comput Aided Mol Des
Scalzitti N, Miralavy I, Korenchan DE, Farrar CT, Gilad AA, Banzhaf W.   +5 more
europepmc   +1 more source

Optimized Doxycycline-Inducible Gene Expression System for Genetic Programming of Tumor-Targeting Bacteria. [PDF]

Mol Imaging Biol, 2022
Nguyen DH, Nguyen DH, You SH, Vo AN, Ngo HT, Van Nguyen K, Duong MT, Choy HE, Song M, Hong Y, Min JJ.   +10 more
europepmc   +1 more source