Engineering Complexity: Advances in 3D Breast Cancer Models for Precision Oncology
In vitro breast cancer models that closely mimic the complex biological and cellular interactions within the tumor microenvironment hold strong promise for enhancing our understanding of tumor progression, immune system behavior, and resistance to therapies, which are essential for developing personalized cancer treatments. Abstract Engineered in vitro
Wonwoo Jeong, Sang Jin Lee
wiley +1 more source
AI‐Assisted Design and Evaluation of SLM‐Ti64 Implants for Enhanced Bone Regeneration
AI‐driven simulations of biological healing, combining biomechanical modeling and machine learning, enable personalized orthopedic treatments. By decoding healing patterns influenced by implants and patient‐specific factors, this approach advances fracture repair understanding, optimizes implant design, and supports precision medicine and sustainable ...
Muhammad Usama Zaheer +3 more
wiley +1 more source
PENINGKATAN HASIL BELAJAR IPS MELALUI METODE SIMULASI DENGAN REINFORCEMENT DI SMPN 2 JETIS BANTUL
Penelitian ini bertujuan untuk meningkatkan aktivitas dan hasil belajar IPS di kelas IX C SMPN 2 Jetis Bantul setelah diterapkan metode simulasi dengan reinforcement.
Ratna Wulandari +1 more
doaj
Efficient reinforcement learning of navigation strategies in an autonomous robot [PDF]
José del R. Millán, Carme Torras
openalex +1 more source
Harnessing Next‐Generation 3D Cancer Models to Elucidate Tumor‐Microbiome Crosstalk
Centralizes the microbiome within 3D tumor‐microbiome model platforms, including spheroids, organoids, 3D‐bioprinted constructs, and microfluidic chips, each enabling structured host‐tumor‐microbe studies. These systems support bacterial colonization, facilitating investigation of microbial impacts on tumor growth, immunity, and therapy. The microbiome
Marina Green Buzhor +12 more
wiley +1 more source
Parallel recombinative reinforcement learning (Extended abstract) [PDF]
Aristidis Likas +2 more
openalex +1 more source
Progressive Insights into 3D Bioprinting for Corneal Tissue Restoration
This review explores the potential of 3D bioprinting to replicate the complex structure and function of the human cornea. It highlights key advances in bioink development, printing modalities, and in vivo performance, while addressing current challenges and emerging strategies. The review emphasizes bioprinting's promise to overcome donor shortages and
Ilayda Namli +6 more
wiley +1 more source
Discounted Reinforcement Learning Does Not Scale [PDF]
Matthew A. McDonald, Philip Hingston
openalex +1 more source
Advancing from MOFs and COFs to Functional Macroscopic Porous Constructs
This review study investigates the recent progress and methodologies for manufacturing metal–organic framework (MOF) or covalent–organic framework (COF)‐based 3D structured macroscopic porous constructs with high structural integrity, providing the possibility to control their porosity across dimensions.
Seyyed Alireza Hashemi +8 more
wiley +1 more source
Enhancing queries for code generation with reinforcement learning. [PDF]
Yuan D, Liang G, Li T, Liu S.
europepmc +1 more source

