Results 161 to 170 of about 427,850 (261)
Editorial for the Special Issue: Bioinformatics and Computational Biology for Cancer Prediction and Prognosis. [PDF]
Dancik GM, Vlahopoulos SA.
europepmc +1 more source
Rationally‐designed advanced carbon‐based single‐atom catalysts with isolated CuN2O2 active sites anchored in N,O‐doped porous carbon facilitate water dissociation and nitrate reduction, accelerating proton supply for efficient electrosynthesis of ammonia.
Yan Li +14 more
wiley +1 more source
ECCB2024: The 23rd European Conference on Computational Biology. [PDF]
Kukkonen-Macchi A +14 more
europepmc +1 more source
This study introduces a novel multi‐scale scaffold design using L‐fractals arranged in Archimedean tessellations for tissue regeneration. Despite similar porosity, tiles display vastly different tensile responses (1–100 MPa) and deformation modes. In vitro experiments with hMSCs show geometry‐dependent growth and activity. Over 55 000 tile combinations
Maria Kalogeropoulou +4 more
wiley +1 more source
Direct Cardiac Reprogramming in the Age of Computational Biology. [PDF]
Ambroise R, Takasugi P, Liu J, Qian L.
europepmc +1 more source
Substrate Stress Relaxation Regulates Cell‐Mediated Assembly of Extracellular Matrix
Silicone‐based viscoelastic substrates with tunable stress relaxation reveal how matrix mechanics regulates cellular mechanosensing and cell‐mediated matrix remodelling in the stiff regime. High stress relaxation promotes assembly of fibronectin fibril‐like structures, increased nuclear localization of YAP and formation of β1 integrin‐enriched ...
Jonah L. Voigt +2 more
wiley +1 more source
Computational biology and artificial intelligence in mRNA vaccine design for cancer immunotherapy. [PDF]
Imani S +7 more
europepmc +1 more source
Recycling of Thermoplastics with Machine Learning: A Review
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque +5 more
wiley +1 more source
Computational biology predicts metabolic engineering targets for increased production of 103 valuable chemicals in yeast. [PDF]
Domenzain I +5 more
europepmc +1 more source
Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi +10 more
wiley +1 more source

