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[HTML][HTML] AI-enabled organoids: construction, analysis, and application
L Bai, Y Wu, G Li, W Zhang, H Zhang, J Su - Bioactive materials, 2024 - Elsevier
Organoids, miniature and simplified in vitro model systems that mimic the structure and
function of organs, have attracted considerable interest due to their promising applications in …
function of organs, have attracted considerable interest due to their promising applications in …
Applied machine learning as a driver for polymeric biomaterials design
Polymers are ubiquitous to almost every aspect of modern society and their use in medical
products is similarly pervasive. Despite this, the diversity in commercial polymers used in …
products is similarly pervasive. Despite this, the diversity in commercial polymers used in …
Recent applications of machine learning in alloy design: A review
The history of machine learning (ML) can be traced back to the 1950 s, and its application in
alloy design has recently begun to flourish and expand rapidly. The driving force behind this …
alloy design has recently begun to flourish and expand rapidly. The driving force behind this …
Emerging bioprinting for wound healing
Z Wang, X Liang, G Wang, X Wang… - Advanced …, 2023 - Wiley Online Library
Bioprinting has attracted much attention due to its suitability for fabricating biomedical
devices. In particular, bioprinting has become one of the growing centers in the field of …
devices. In particular, bioprinting has become one of the growing centers in the field of …
[HTML][HTML] Enhancing property prediction and process optimization in building materials through machine learning: A review
Abstract Analysis and design, as the most critical components in material science, require a
highly rigorous approach to assure long-term success. Due to a recent increase in the …
highly rigorous approach to assure long-term success. Due to a recent increase in the …
Thermoelectrics for medical applications: Progress, challenges, and perspectives
Thermoelectrics, enabling the direct conversion between heat and electrical energy, exhibit
great potentials for employing to localized power generation and refrigeration. Their unique …
great potentials for employing to localized power generation and refrigeration. Their unique …
Designing nanotheranostics with machine learning
The inherent limits of traditional diagnoses and therapies have driven the development and
application of emerging nanotechnologies for more effective and safer management of …
application of emerging nanotechnologies for more effective and safer management of …
MeLM, a generative pretrained language modeling framework that solves forward and inverse mechanics problems
MJ Buehler - Journal of the Mechanics and Physics of Solids, 2023 - Elsevier
We report a flexible multi-modal mechanics language model, MeLM, applied to solve
various nonlinear forward and inverse problems, that can deal with a set of instructions …
various nonlinear forward and inverse problems, that can deal with a set of instructions …
[HTML][HTML] AI energized hydrogel design, optimization and application in biomedicine
Z Li, P Song, G Li, Y Han, X Ren, L Bai, J Su - Materials Today Bio, 2024 - Elsevier
Traditional hydrogel design and optimization methods usually rely on repeated experiments,
which is time-consuming and expensive, resulting in a slow-moving of advanced hydrogel …
which is time-consuming and expensive, resulting in a slow-moving of advanced hydrogel …
Advancing 3D bioprinting through machine learning and artificial intelligence
Abstract 3D bioprinting, a vital tool in tissue engineering, drug testing, and disease
modeling, is increasingly integrated with machine learning (ML) and artificial intelligence …
modeling, is increasingly integrated with machine learning (ML) and artificial intelligence …