Nanotechnology and artificial intelligence to enable sustainable and precision agriculture
Climate change, increasing populations, competing demands on land for production of
biofuels and declining soil quality are challenging global food security. Finding sustainable …
biofuels and declining soil quality are challenging global food security. Finding sustainable …
Machine learning directed drug formulation development
Abstract Machine learning (ML) has enabled ground-breaking advances in the healthcare
and pharmaceutical sectors, from improvements in cancer diagnosis, to the identification of …
and pharmaceutical sectors, from improvements in cancer diagnosis, to the identification of …
[HTML][HTML] Simulation-based approaches for drug delivery systems: Navigating advancements, opportunities, and challenges
Efficient drug delivery systems (DDSs) play a pivotal role in ensuring pharmaceuticals'
targeted and effective administration. However, the intricate interplay between drug …
targeted and effective administration. However, the intricate interplay between drug …
Applications of artificial intelligence and machine learning algorithms to crystallization
Artificial intelligence and specifically machine learning applications are nowadays used in a
variety of scientific applications and cutting-edge technologies, where they have a …
variety of scientific applications and cutting-edge technologies, where they have a …
Harnessing artificial intelligence for the next generation of 3D printed medicines
Artificial intelligence (AI) is redefining how we exist in the world. In almost every sector of
society, AI is performing tasks with super-human speed and intellect; from the prediction of …
society, AI is performing tasks with super-human speed and intellect; from the prediction of …
A comprehensive map of FDA-approved pharmaceutical products
With the increasing research and development (R&D) difficulty of new molecular entities
(NMEs), novel drug delivery systems (DDSs) are attracting widespread attention. This review …
(NMEs), novel drug delivery systems (DDSs) are attracting widespread attention. This review …
[HTML][HTML] Accelerating 3D printing of pharmaceutical products using machine learning
Abstract Three-dimensional printing (3DP) has seen growing interest within the healthcare
industry for its ability to fabricate personalized medicines and medical devices. However, it …
industry for its ability to fabricate personalized medicines and medical devices. However, it …
How can machine learning and multiscale modeling benefit ocular drug development?
The eyes possess sophisticated physiological structures, diverse disease targets, limited
drug delivery space, distinctive barriers, and complicated biomechanical processes …
drug delivery space, distinctive barriers, and complicated biomechanical processes …
Machine learning for biologics: opportunities for protein engineering, developability, and formulation
Successful biologics must satisfy multiple properties including activity and particular
physicochemical features that are globally defined as developability. These multiple …
physicochemical features that are globally defined as developability. These multiple …
A survey of deep learning for scientific discovery
Over the past few years, we have seen fundamental breakthroughs in core problems in
machine learning, largely driven by advances in deep neural networks. At the same time, the …
machine learning, largely driven by advances in deep neural networks. At the same time, the …