[HTML][HTML] A review of computational approaches used in the modelling, design, and manufacturing of biodegradable and biobased polymers

BG Laycock, CM Chan, PJ Halley - Progress in Polymer Science, 2024 - Elsevier
The design and manufacture of new biodegradable and bioderived polymeric materials has
traditionally taken place through experimentation and material characterisation. However …

A comprehensive review on recent approaches for cancer drug discovery associated with artificial intelligence

S Pandiyan, L Wang - Computers in Biology and Medicine, 2022 - Elsevier
Through the revolutionization of artificial intelligence (AI) technologies in clinical research,
significant improvement is observed in diagnosis of cancer. Utilization of these AI …

Discovering design principles of collagen molecular stability using a genetic algorithm, deep learning, and experimental validation

E Khare, CH Yu, C Gonzalez Obeso… - Proceedings of the …, 2022 - National Acad Sciences
Collagen is the most abundant structural protein in humans, providing crucial mechanical
properties, including high strength and toughness, in tissues. Collagen-based biomaterials …

CollagenTransformer: end-to-end transformer model to predict thermal stability of collagen triple helices using an NLP approach

E Khare, C Gonzalez-Obeso, DL Kaplan… - ACS Biomaterials …, 2022 - ACS Publications
Collagen is one of the most important structural proteins in biology, and its structural
hierarchy plays a crucial role in many mechanically important biomaterials. Here, we …

Generative retrieval-augmented ontologic graph and multiagent strategies for interpretive large language model-based materials design

MJ Buehler - ACS Engineering Au, 2024 - ACS Publications
Transformer neural networks show promising capabilities, in particular for uses in materials
analysis, design, and manufacturing, including their capacity to work effectively with human …

Predicting collagen triple helix stability through additive effects of terminal residues and caps

T Fiala, EP Barros, R Heeb, S Riniker… - Angewandte Chemie …, 2023 - Wiley Online Library
Collagen model peptides (CMPs) consisting of proline‐(2S, 4R)‐hydroxyproline‐glycine
(POG) repeats have provided a breadth of knowledge of the triple helical structure of …

Soft computing techniques for biomedical data analysis: open issues and challenges

EH Houssein, ME Hosney, MM Emam… - Artificial Intelligence …, 2023 - Springer
In recent years, medical data analysis has become paramount in delivering accurate
diagnoses for various diseases. The plethora of medical data sources, encompassing …

[HTML][HTML] Artificial Intelligence in Biomaterials: A Comprehensive Review

Y Gokcekuyu, F Ekinci, MS Guzel, K Acici, S Aydin… - Applied Sciences, 2024 - mdpi.com
The importance of biomaterials lies in their fundamental roles in medical applications such
as tissue engineering, drug delivery, implantable devices, and radiological phantoms, with …

PRESTO: Rapid protein mechanical strength prediction with an end-to-end deep learning model

FYC Liu, B Ni, MJ Buehler - Extreme Mechanics Letters, 2022 - Elsevier
Proteins often form biomaterials with exceptional mechanical properties equal or even
superior to synthetic materials. Currently, using experimental atomic force microscopy or …

Increase in charge and density improves the strength and toughness of mussel foot protein 5 inspired protein materials

JJ Graham, S Keten - ACS Biomaterials Science & Engineering, 2023 - ACS Publications
Mussel foot protein 5 (fp5) found in the adhesive byssal plaque of Mediterranean mussel
Mytilus galloprovincialis exhibits exceptional underwater adhesion to diverse surfaces to the …