Artificial intelligence aids in development of nanomedicines for cancer management

P Tan, X Chen, H Zhang, Q Wei, K Luo - Seminars in cancer biology, 2023 - Elsevier
Over the last decade, the nanomedicine has experienced unprecedented development in
diagnosis and management of diseases. A number of nanomedicines have been approved …

Advances of medical nanorobots for future cancer treatments

X Kong, P Gao, J Wang, Y Fang, KC Hwang - Journal of Hematology & …, 2023 - Springer
Early detection and diagnosis of many cancers is very challenging. Late stage detection of a
cancer always leads to high mortality rates. It is imperative to develop novel and more …

[HTML][HTML] Integrative toxicogenomics: Advancing precision medicine and toxicology through artificial intelligence and OMICs technology

AV Singh, V Chandrasekar, N Paudel, P Laux… - Biomedicine & …, 2023 - Elsevier
More information about a person's genetic makeup, drug response, multi-omics response,
and genomic response is now available leading to a gradual shift towards personalized …

Passive layers and corrosion resistance of biomedical Ti-6Al-4V and β-Ti alloys

P Bocchetta, LY Chen, JDC Tardelli, AC Reis… - Coatings, 2021 - mdpi.com
The high specific strength, good corrosion resistance, and great biocompatibility make
titanium and its alloys the ideal materials for biomedical metallic implants. Ti-6Al-4V alloy is …

A critical review of the use of surfactant-coated nanoparticles in nanomedicine and food nanotechnology

T Miyazawa, M Itaya, GC Burdeos… - International journal …, 2021 - Taylor & Francis
Surfactants, whose existence has been recognized as early as 2800 BC, have had a long
history with the development of human civilization. With the rapid development of …

Interdisciplinary‐inspired smart antibacterial materials and their biomedical applications

Y Wu, P Liu, B Mehrjou, PK Chu - Advanced Materials, 2024 - Wiley Online Library
The discovery of antibiotics has saved millions of lives, but the emergence of antibiotic‐
resistant bacteria has become another problem in modern medicine. To avoid or reduce the …

Digital transformation in toxicology: improving communication and efficiency in risk assessment

AV Singh, G Bansod, M Mahajan, P Dietrich… - ACS …, 2023 - ACS Publications
Toxicology is undergoing a digital revolution, with mobile apps, sensors, artificial
intelligence (AI), and machine learning enabling better record-keeping, data analysis, and …

Machine-learning-based approach to decode the influence of nanomaterial properties on their interaction with cells

AV Singh, RS Maharjan, A Kanase… - … Applied Materials & …, 2020 - ACS Publications
In an in vitro nanotoxicity system, cell–nanoparticle (NP) interaction leads to the surface
adsorption, uptake, and changes into nuclei/cell phenotype and chemistry, as an indicator of …

Carbon dots: A future Blood–Brain Barrier penetrating nanomedicine and drug nanocarrier

W Zhang, G Sigdel, KJ Mintz, ES Seven… - International journal …, 2021 - Taylor & Francis
Drug delivery across the blood–brain barrier (BBB) is one of the biggest challenges in
modern medicine due to the BBB's highly semipermeable property that limits most …

Advancing Predictive Risk Assessment of Chemicals via Integrating Machine Learning, Computational Modeling, and Chemical/Nano‐Quantitative Structure‐Activity …

AV Singh, M Varma, M Rai… - Advanced Intelligent …, 2024 - Wiley Online Library
The escalating use of novel chemicals and nanomaterials (NMs) across diverse sectors
underscores the need for advanced risk assessment methods to safeguard human health …