Scientific discovery in the age of artificial intelligence
Artificial intelligence (AI) is being increasingly integrated into scientific discovery to augment
and accelerate research, hel** scientists to generate hypotheses, design experiments …
and accelerate research, hel** scientists to generate hypotheses, design experiments …
Everything is connected: Graph neural networks
P Veličković - Current Opinion in Structural Biology, 2023 - Elsevier
In many ways, graphs are the main modality of data we receive from nature. This is due to
the fact that most of the patterns we see, both in natural and artificial systems, are elegantly …
the fact that most of the patterns we see, both in natural and artificial systems, are elegantly …
Graph representation learning in biomedicine and healthcare
Networks—or graphs—are universal descriptors of systems of interacting elements. In
biomedicine and healthcare, they can represent, for example, molecular interactions …
biomedicine and healthcare, they can represent, for example, molecular interactions …
Building a knowledge graph to enable precision medicine
Develo** personalized diagnostic strategies and targeted treatments requires a deep
understanding of disease biology and the ability to dissect the relationship between …
understanding of disease biology and the ability to dissect the relationship between …
A foundation model for clinician-centered drug repurposing
Drug repurposing—identifying new therapeutic uses for approved drugs—is often a
serendipitous and opportunistic endeavour to expand the use of drugs for new diseases …
serendipitous and opportunistic endeavour to expand the use of drugs for new diseases …
Artificial intelligence foundation for therapeutic science
Artificial intelligence (AI) is poised to transform therapeutic science. Therapeutics Data
Commons is an initiative to access and evaluate AI capability across therapeutic modalities …
Commons is an initiative to access and evaluate AI capability across therapeutic modalities …
COVID-19 and cardiovascular disease: from bench to bedside
A pandemic of historic impact, coronavirus disease 2019 (COVID-19) has potential
consequences on the cardiovascular health of millions of people who survive infection …
consequences on the cardiovascular health of millions of people who survive infection …
Artificial intelligence in COVID-19 drug repurposing
Drug repurposing or repositioning is a technique whereby existing drugs are used to treat
emerging and challenging diseases, including COVID-19. Drug repurposing has become a …
emerging and challenging diseases, including COVID-19. Drug repurposing has become a …
Utilizing graph machine learning within drug discovery and development
Graph machine learning (GML) is receiving growing interest within the pharmaceutical and
biotechnology industries for its ability to model biomolecular structures, the functional …
biotechnology industries for its ability to model biomolecular structures, the functional …
Contextual AI models for single-cell protein biology
Understanding protein function and develo** molecular therapies require deciphering the
cell types in which proteins act as well as the interactions between proteins. However …
cell types in which proteins act as well as the interactions between proteins. However …